Robotic grinding of complex components: A step towards efficient and intelligent machining – challenges, solutions, and applications
Robotic grinding is considered as an alternative towards the efficient and intelligent machining of complex components by virtue of its flexibility, intelligence and cost efficiency, particularly in comparison with the current mainstream manufacturing modes. The advances in robotic grinding during t...
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| Published in | Robotics and computer-integrated manufacturing Vol. 65; p. 101908 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford
Elsevier Ltd
01.10.2020
Elsevier BV |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Robotic grinding is considered as an alternative towards the efficient and intelligent machining of complex components by virtue of its flexibility, intelligence and cost efficiency, particularly in comparison with the current mainstream manufacturing modes. The advances in robotic grinding during the past one to two decades present two extremes: one aims to solve the problem of precision machining of small-scale complex surfaces, the other emphasizes on the efficient machining of large-scale complex structures. To achieve efficient and intelligent grinding of these two different types of complex components, researchers have attempted to conquer key technologies and develop relevant machining system. The aim of this paper is to present a systematic, critical, and comprehensively review of all aspects of robotic grinding of complex components, especially focusing on three research objectives.
For the first research objective, the problems and challenges arising out of robotic grinding of complex components are identified from three aspects of accuracy control, compliance control and cooperative control, and their impact on the machined workpiece geometrical accuracy, surface integrity and machining efficiency are also identified. For the second aim of this review, the relevant research work in the field of robotic grinding till the date are organized, and the various strategies and alternative solutions to overcome the challenges are provided. The research perspectives are concentrated primarily on the high-precision online measurement, grinding allowance control, constant contact force control, and surface integrity from robotic grinding, thereby potentially constructing the integration of “measurement – manipulation – machining” for the robotic grinding system. For the third objective, typical applications of this research work to implement successful robotic grinding of turbine blades and large-scale complex structures are discussed. Some research interests for future work to promote robotic grinding of complex components towards more intelligent and efficient in practical applications are also suggested. |
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| AbstractList | Robotic grinding is considered as an alternative towards the efficient and intelligent machining of complex components by virtue of its flexibility, intelligence and cost efficiency, particularly in comparison with the current mainstream manufacturing modes. The advances in robotic grinding during the past one to two decades present two extremes: one aims to solve the problem of precision machining of small-scale complex surfaces, the other emphasizes on the efficient machining of large-scale complex structures. To achieve efficient and intelligent grinding of these two different types of complex components, researchers have attempted to conquer key technologies and develop relevant machining system. The aim of this paper is to present a systematic, critical, and comprehensively review of all aspects of robotic grinding of complex components, especially focusing on three research objectives. For the first research objective, the problems and challenges arising out of robotic grinding of complex components are identified from three aspects of accuracy control, compliance control and cooperative control, and their impact on the machined workpiece geometrical accuracy, surface integrity and machining efficiency are also identified. For the second aim of this review, the relevant research work in the field of robotic grinding till the date are organized, and the various strategies and alternative solutions to overcome the challenges are provided. The research perspectives are concentrated primarily on the high-precision online measurement, grinding allowance control, constant contact force control, and surface integrity from robotic grinding, thereby potentially constructing the integration of "measurement – manipulation – machining" for the robotic grinding system. For the third objective, typical applications of this research work to implement successful robotic grinding of turbine blades and large-scale complex structures are discussed. Some research interests for future work to promote robotic grinding of complex components towards more intelligent and efficient in practical applications are also suggested. Robotic grinding is considered as an alternative towards the efficient and intelligent machining of complex components by virtue of its flexibility, intelligence and cost efficiency, particularly in comparison with the current mainstream manufacturing modes. The advances in robotic grinding during the past one to two decades present two extremes: one aims to solve the problem of precision machining of small-scale complex surfaces, the other emphasizes on the efficient machining of large-scale complex structures. To achieve efficient and intelligent grinding of these two different types of complex components, researchers have attempted to conquer key technologies and develop relevant machining system. The aim of this paper is to present a systematic, critical, and comprehensively review of all aspects of robotic grinding of complex components, especially focusing on three research objectives. For the first research objective, the problems and challenges arising out of robotic grinding of complex components are identified from three aspects of accuracy control, compliance control and cooperative control, and their impact on the machined workpiece geometrical accuracy, surface integrity and machining efficiency are also identified. For the second aim of this review, the relevant research work in the field of robotic grinding till the date are organized, and the various strategies and alternative solutions to overcome the challenges are provided. The research perspectives are concentrated primarily on the high-precision online measurement, grinding allowance control, constant contact force control, and surface integrity from robotic grinding, thereby potentially constructing the integration of “measurement – manipulation – machining” for the robotic grinding system. For the third objective, typical applications of this research work to implement successful robotic grinding of turbine blades and large-scale complex structures are discussed. Some research interests for future work to promote robotic grinding of complex components towards more intelligent and efficient in practical applications are also suggested. |
| ArticleNumber | 101908 |
| Author | Feng, Xiaozhi Yang, Zeyuan Yan, Sijie Ding, Han Xu, Xiaohu Li, Wenlong Zhu, Dahu |
| Author_xml | – sequence: 1 givenname: Dahu surname: Zhu fullname: Zhu, Dahu organization: Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China – sequence: 2 givenname: Xiaozhi surname: Feng fullname: Feng, Xiaozhi organization: Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China – sequence: 3 givenname: Xiaohu surname: Xu fullname: Xu, Xiaohu organization: State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China – sequence: 4 givenname: Zeyuan surname: Yang fullname: Yang, Zeyuan organization: State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China – sequence: 5 givenname: Wenlong surname: Li fullname: Li, Wenlong email: wlli@hust.edu.cn organization: State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China – sequence: 6 givenname: Sijie surname: Yan fullname: Yan, Sijie email: sjyan@hust.edu.cn organization: State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China – sequence: 7 givenname: Han surname: Ding fullname: Ding, Han organization: State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China |
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| Cites_doi | 10.3390/s19071635 10.1007/s00170-015-6824-9 10.1016/j.ijmachtools.2005.07.033 10.1007/s11263-006-5167-2 10.1007/s00170-015-7336-3 10.1080/10910344.2017.1337132 10.1007/s00170-006-0721-1 10.1007/s00170-018-1838-8 10.1007/s00170-014-5838-z 10.1080/10426914.2018.1512137 10.1016/S1000-9361(11)60041-1 10.1007/s00170-017-0798-8 10.1016/j.wear.2008.04.074 10.1007/s11431-019-9510-1 10.1109/TMECH.2016.2640194 10.1016/j.wear.2013.09.016 10.1109/TCYB.2015.2483740 10.1631/jzus.2006.A1215 10.1016/S1000-9361(11)60060-5 10.1080/00207543.2014.974851 10.1109/TMECH.2010.2102047 10.3901/CJME.2016.0311.030 10.1016/j.cirpj.2016.05.010 10.1117/1.2829766 10.1007/s10845-011-0508-6 10.1016/j.cja.2017.08.015 10.1093/nsr/nwx148 10.1016/j.rcim.2019.05.013 10.1016/j.precisioneng.2018.08.015 10.1016/j.rcim.2005.12.013 10.1016/j.rcim.2019.03.008 10.1007/s10846-012-9780-8 10.1016/j.patrec.2015.07.019 10.1007/s001700300032 10.1109/TII.2017.2748236 10.1016/j.surfcoat.2008.08.058 10.1109/TCST.2012.2191587 10.1109/TII.2018.2879500 10.1016/j.cja.2019.01.023 10.1016/j.jmatprotec.2008.05.041 10.1016/j.rcim.2017.05.011 10.1109/TASE.2011.2157683 10.1016/j.wear.2005.02.113 10.1007/s00170-016-9331-8 10.1016/j.ijmachtools.2004.10.006 10.1109/TASE.2011.2159708 10.1109/TMECH.2016.2567319 10.4173/mic.2009.3.7 10.1016/j.precisioneng.2013.01.014 10.1007/s00170-019-04170-7 10.1109/TMECH.2016.2574813 10.1016/S0924-0136(02)00114-0 10.1007/s00170-014-6501-4 10.1016/j.jmapro.2018.12.029 10.1007/s00170-006-0791-0 10.1109/TASE.2018.2875154 10.1364/OE.23.015205 10.1049/iet-cta.2016.0009 10.1016/j.cagd.2015.03.022 10.1007/s00170-015-7157-4 10.1109/TCYB.2015.2411285 10.1016/j.cirp.2013.05.009 10.1016/j.rcim.2017.02.002 10.1016/j.triboint.2012.07.001 10.1007/s00170-017-0717-z 10.1007/s00170-019-03403-z 10.1007/s10033-017-0123-3 10.1117/1.OE.51.11.114204 10.1007/s00170-014-6020-3 10.1016/j.rcim.2007.11.005 10.1080/10426914.2019.1628255 10.1016/j.triboint.2017.12.043 10.1007/s00170-015-7109-z 10.1115/1.3426611 10.1007/s00170-016-9729-3 10.1016/j.triboint.2015.04.004 10.1016/j.rcim.2018.12.019 10.1007/s00170-018-2925-6 10.1016/j.rcim.2016.12.005 10.1109/TASE.2018.2875145 10.1088/1361-6501/aa50df 10.1016/j.triboint.2008.03.015 10.1109/TMECH.2018.2864652 10.1115/1.4029703 10.1016/j.rcim.2017.12.006 10.1109/34.121791 10.1016/j.jmatprotec.2018.05.013 10.1016/j.cirp.2019.05.009 10.1016/j.jmatprotec.2007.12.133 10.1109/TFUZZ.2015.2426215 10.1049/iet-cvi.2009.0032 10.1016/j.ijmachtools.2006.07.002 10.1016/j.jmatprotec.2006.09.009 10.1016/j.rcim.2012.08.002 10.1007/s00170-004-2229-x 10.1007/s00170-019-04222-y 10.1016/j.isprsjprs.2014.06.015 10.1109/TASE.2018.2889813 |
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| Keywords | Multi-robot cooperation Complex components Force control Robotic grinding Online measurement |
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| References | Ji, Wang (bib0031) 2019; 103 Li (bib0055) 2011; 5 Yang (bib0073) 2019 Fu (bib0075) 2018; 31 Chen (bib0029) 2019; 101 Yan (bib0072) 2019; 37 Xu (bib0018) 2017; 90 Tian (bib0080) 2016; 14 Li (bib0056) 2016; 21 Mezghani, El Mansori (bib0103) 2008; 203 Rafieian, Hazel, Liu (bib0013) 2014; 73 Jia (bib0044) 2015; 23 Huang (bib0021) 2002; 127 Wang, Liu, Qin (bib0071) 2018; 37 Senoo (bib0074) 2017; 2 Verl (bib0030) 2019; 68 Cen (bib0004) 2016; 21 Yuan (bib0006) 2018; 23 He, Chen, Yin (bib0083) 2016; 46 Mohsin, He, Du (bib0091) 2018 Uriarte (bib0114) 2013; 62 Wan (bib0109) 2019; 55 Gao (bib0067) 2019 Theiler, Wegner, Schindler (bib0048) 2014; 96 Rech (bib0094) 2008; 208 Zhang (bib0110) 2018; 260 Hou (bib0065) 2015; 80 Zhang (bib0112) 2017; 93 Song, Liang, Yang (bib0024) 2011; 23 Wang (bib0062) 2017; 91 Li (bib0020) 2017; 28 Mavridis, Andreadis, Papaioannou (bib0051) 2015; 35–36 Bigerelle, Hagege, El Mansori (bib0105) 2008; 41 Pottmann (bib0054) 2006; 67 Wang (bib0066) 2016; 93 Zhao (bib0095) 2014; 74 Wang, Wang, Xu (bib0061) 2009; 209 Wang (bib0096) 2019; 34 Yixu, Hongbo, Zehong (bib0025) 2012; 17 Marvel, Newman (bib0084) 2011; 8 Xiao, Huang (bib0064) 2015; 83 Khellouki, Rech, Zahouani (bib0106) 2013; 308 Rakotondrabe, Ivan (bib0076) 2011; 8 Whitney (bib0090) 1972; 94 Kong (bib0078) 2016; 29 Ren (bib0009) 2006; 7 Peng (bib0047) 2019; 59 Tahvilian (bib0107) 2015; 80 Li, Song (bib0050) 2015; 65 Chen (bib0087) 2019; 57 Leali (bib0003) 2014; 85 Guo (bib0085) 2013; 37 Tao, Zhao, Ding (bib0032) 2019; 62 Fischer (bib0043) 2019; 16 Ding (bib0038) 2018; 5 Xie (bib0035) 2019; 16 Jourani (bib0101) 2013; 59 Zhang (bib0082) 2016; 10 Wang, Yun (bib0022) 2011; 24 Agnard, Hazel, Liu (bib0108) 2017; 22 Qi (bib0033) 2017; 9 Mejri (bib0070) 2016; 82 Klimchik (bib0005) 2017; 48 Sun, Giblin, Kazerounian (bib0017) 2009; 25 Jourani (bib0100) 2005; 259 Elhajj (bib0041) 2001 Zou (bib0097) 2019; 34 Zhang, Yu, Zou (bib0026) 2019; 19 Ren, Yin, Zhu (bib0045) 2012; 51 Liu, Lai, Wu (bib0069) 2013; 29 Wang (bib0002) 2015; 82 Zhai, Xia (bib0040) 2016; 24 Wang (bib0092) 2015; 79 Roveda (bib0086) 2018; 14 Zhu (bib0007) 2019; 59 Li (bib0046) 2016; 46 Zhu (bib0063) 2015; 90 Wu (bib0012) 2012; 64 Fu (bib0001) 2017; 30 Ren, Kuhlenkötter, Müller (bib0008) 2006; 46 Ren (bib0010) 2007; 47 Brogårdh (bib0039) 2009; 30 Hammann (bib0058) 1998 Yang, Li, Jia (bib0052) 2013 Latifinavid, Konukseven (bib0098) 2017; 93 Xu (bib0036) 2018; 51 Lin, Zhao, Ding (bib0015) 2017; 48 Ulaş, Temeltaş (bib0049) 2013; 71 Xu (bib0028) 2019 Zhang, Kuhlenkötter, Kneupner (bib0057) 2005; 45 Mezghani, Mansori, Zahouani (bib0104) 2009; 266 Zhang, Su (bib0023) 2018; 15 Zhu (bib0037) 2018; 120 Xu (bib0113) 2019 Chen, Dong (bib0068) 2012; 66 Xie (bib0034) 2019; 16 Mohammad, Hong, Wang (bib0027) 2018; 49 Huang (bib0102) 2003; 21 Fathi (bib0079) 2007; 35 Besl, McKay (bib0053) 1992; 14 Li, Zhou, Yan (bib0019) 2014; 53 Nahavandi (bib0011) 2007; 23 Ren, Kuhlenkötter (bib0060) 2008; 35 Kim (bib0088) 2017; 22 Xia (bib0077) 2016 El Mansori (bib0093) 2007; 182 Zhang, Kneupner, Kuhlenkötter (bib0059) 2006; 27 Bi (bib0042) 2019; 15 Xiao, Huang (bib0111) 2017; 9 Li (bib0016) 2008; 47 Gao, Lan, Bian (bib0014) 2011; 24 Yixu, Hongjun, Hongbo (bib0089) 2013; 21 Latifinavid, Donder, Konukseven (bib0099) 2018; 96 Pedrocchi (bib0081) 2015; 77 Jiang, Yin, Chen (bib0115) 2015; 137 Ren (10.1016/j.rcim.2019.101908_bib0010) 2007; 47 Wan (10.1016/j.rcim.2019.101908_bib0109) 2019; 55 Jourani (10.1016/j.rcim.2019.101908_bib0100) 2005; 259 Ding (10.1016/j.rcim.2019.101908_bib0038) 2018; 5 Liu (10.1016/j.rcim.2019.101908_bib0069) 2013; 29 Cen (10.1016/j.rcim.2019.101908_bib0004) 2016; 21 Guo (10.1016/j.rcim.2019.101908_bib0085) 2013; 37 Huang (10.1016/j.rcim.2019.101908_bib0102) 2003; 21 Yang (10.1016/j.rcim.2019.101908_bib0052) 2013 Rech (10.1016/j.rcim.2019.101908_bib0094) 2008; 208 Xia (10.1016/j.rcim.2019.101908_bib0077) 2016 Zhu (10.1016/j.rcim.2019.101908_bib0037) 2018; 120 Leali (10.1016/j.rcim.2019.101908_bib0003) 2014; 85 Xu (10.1016/j.rcim.2019.101908_bib0036) 2018; 51 Zhang (10.1016/j.rcim.2019.101908_bib0112) 2017; 93 Li (10.1016/j.rcim.2019.101908_bib0050) 2015; 65 Wang (10.1016/j.rcim.2019.101908_bib0061) 2009; 209 Zou (10.1016/j.rcim.2019.101908_bib0097) 2019; 34 Ren (10.1016/j.rcim.2019.101908_bib0045) 2012; 51 Song (10.1016/j.rcim.2019.101908_bib0024) 2011; 23 Yixu (10.1016/j.rcim.2019.101908_bib0089) 2013; 21 Hammann (10.1016/j.rcim.2019.101908_bib0058) 1998 Mezghani (10.1016/j.rcim.2019.101908_bib0104) 2009; 266 Qi (10.1016/j.rcim.2019.101908_bib0033) 2017; 9 Li (10.1016/j.rcim.2019.101908_bib0056) 2016; 21 Zhu (10.1016/j.rcim.2019.101908_bib0063) 2015; 90 Zhang (10.1016/j.rcim.2019.101908_bib0110) 2018; 260 El Mansori (10.1016/j.rcim.2019.101908_bib0093) 2007; 182 Mezghani (10.1016/j.rcim.2019.101908_bib0103) 2008; 203 Ren (10.1016/j.rcim.2019.101908_bib0008) 2006; 46 Whitney (10.1016/j.rcim.2019.101908_bib0090) 1972; 94 Li (10.1016/j.rcim.2019.101908_bib0020) 2017; 28 Wang (10.1016/j.rcim.2019.101908_bib0066) 2016; 93 Lin (10.1016/j.rcim.2019.101908_bib0015) 2017; 48 He (10.1016/j.rcim.2019.101908_bib0083) 2016; 46 Zhang (10.1016/j.rcim.2019.101908_bib0057) 2005; 45 Jia (10.1016/j.rcim.2019.101908_bib0044) 2015; 23 Hou (10.1016/j.rcim.2019.101908_bib0065) 2015; 80 Ulaş (10.1016/j.rcim.2019.101908_bib0049) 2013; 71 Wang (10.1016/j.rcim.2019.101908_bib0062) 2017; 91 Verl (10.1016/j.rcim.2019.101908_bib0030) 2019; 68 Mejri (10.1016/j.rcim.2019.101908_bib0070) 2016; 82 Yang (10.1016/j.rcim.2019.101908_bib0073) 2019 Huang (10.1016/j.rcim.2019.101908_bib0021) 2002; 127 Xu (10.1016/j.rcim.2019.101908_bib0028) 2019 Fathi (10.1016/j.rcim.2019.101908_bib0079) 2007; 35 Chen (10.1016/j.rcim.2019.101908_bib0068) 2012; 66 Zhang (10.1016/j.rcim.2019.101908_bib0023) 2018; 15 Xie (10.1016/j.rcim.2019.101908_bib0035) 2019; 16 Elhajj (10.1016/j.rcim.2019.101908_bib0041) 2001 Jourani (10.1016/j.rcim.2019.101908_bib0101) 2013; 59 Ren (10.1016/j.rcim.2019.101908_bib0060) 2008; 35 Tao (10.1016/j.rcim.2019.101908_bib0032) 2019; 62 Li (10.1016/j.rcim.2019.101908_bib0016) 2008; 47 Li (10.1016/j.rcim.2019.101908_bib0055) 2011; 5 Pottmann (10.1016/j.rcim.2019.101908_bib0054) 2006; 67 Xu (10.1016/j.rcim.2019.101908_bib0018) 2017; 90 Chen (10.1016/j.rcim.2019.101908_bib0029) 2019; 101 Mavridis (10.1016/j.rcim.2019.101908_bib0051) 2015; 35–36 Kim (10.1016/j.rcim.2019.101908_bib0088) 2017; 22 Nahavandi (10.1016/j.rcim.2019.101908_bib0011) 2007; 23 Zhai (10.1016/j.rcim.2019.101908_bib0040) 2016; 24 Yan (10.1016/j.rcim.2019.101908_bib0072) 2019; 37 Xu (10.1016/j.rcim.2019.101908_bib0113) 2019 Zhang (10.1016/j.rcim.2019.101908_bib0082) 2016; 10 Wang (10.1016/j.rcim.2019.101908_bib0096) 2019; 34 Fischer (10.1016/j.rcim.2019.101908_bib0043) 2019; 16 Senoo (10.1016/j.rcim.2019.101908_bib0074) 2017; 2 Agnard (10.1016/j.rcim.2019.101908_bib0108) 2017; 22 Sun (10.1016/j.rcim.2019.101908_bib0017) 2009; 25 Jiang (10.1016/j.rcim.2019.101908_bib0115) 2015; 137 Fu (10.1016/j.rcim.2019.101908_bib0001) 2017; 30 Uriarte (10.1016/j.rcim.2019.101908_bib0114) 2013; 62 Wang (10.1016/j.rcim.2019.101908_bib0002) 2015; 82 Kong (10.1016/j.rcim.2019.101908_bib0078) 2016; 29 Fu (10.1016/j.rcim.2019.101908_bib0075) 2018; 31 Wang (10.1016/j.rcim.2019.101908_bib0092) 2015; 79 Zhu (10.1016/j.rcim.2019.101908_bib0007) 2019; 59 Chen (10.1016/j.rcim.2019.101908_bib0087) 2019; 57 Wang (10.1016/j.rcim.2019.101908_bib0071) 2018; 37 Latifinavid (10.1016/j.rcim.2019.101908_bib0099) 2018; 96 Li (10.1016/j.rcim.2019.101908_bib0019) 2014; 53 Gao (10.1016/j.rcim.2019.101908_bib0067) 2019 Zhang (10.1016/j.rcim.2019.101908_bib0059) 2006; 27 Mohammad (10.1016/j.rcim.2019.101908_bib0027) 2018; 49 Rakotondrabe (10.1016/j.rcim.2019.101908_bib0076) 2011; 8 Ren (10.1016/j.rcim.2019.101908_bib0009) 2006; 7 Wu (10.1016/j.rcim.2019.101908_bib0012) 2012; 64 Klimchik (10.1016/j.rcim.2019.101908_bib0005) 2017; 48 Yuan (10.1016/j.rcim.2019.101908_bib0006) 2018; 23 Xiao (10.1016/j.rcim.2019.101908_bib0111) 2017; 9 Tian (10.1016/j.rcim.2019.101908_bib0080) 2016; 14 Yixu (10.1016/j.rcim.2019.101908_bib0025) 2012; 17 Khellouki (10.1016/j.rcim.2019.101908_bib0106) 2013; 308 Bi (10.1016/j.rcim.2019.101908_bib0042) 2019; 15 Besl (10.1016/j.rcim.2019.101908_bib0053) 1992; 14 Gao (10.1016/j.rcim.2019.101908_bib0014) 2011; 24 Peng (10.1016/j.rcim.2019.101908_bib0047) 2019; 59 Brogårdh (10.1016/j.rcim.2019.101908_bib0039) 2009; 30 Xiao (10.1016/j.rcim.2019.101908_bib0064) 2015; 83 Pedrocchi (10.1016/j.rcim.2019.101908_bib0081) 2015; 77 Bigerelle (10.1016/j.rcim.2019.101908_bib0105) 2008; 41 Tahvilian (10.1016/j.rcim.2019.101908_bib0107) 2015; 80 Xie (10.1016/j.rcim.2019.101908_bib0034) 2019; 16 Theiler (10.1016/j.rcim.2019.101908_bib0048) 2014; 96 Rafieian (10.1016/j.rcim.2019.101908_bib0013) 2014; 73 Zhao (10.1016/j.rcim.2019.101908_bib0095) 2014; 74 Marvel (10.1016/j.rcim.2019.101908_bib0084) 2011; 8 Ji (10.1016/j.rcim.2019.101908_bib0031) 2019; 103 Roveda (10.1016/j.rcim.2019.101908_bib0086) 2018; 14 Mohsin (10.1016/j.rcim.2019.101908_bib0091) 2018 Zhang (10.1016/j.rcim.2019.101908_bib0026) 2019; 19 Latifinavid (10.1016/j.rcim.2019.101908_bib0098) 2017; 93 Wang (10.1016/j.rcim.2019.101908_bib0022) 2011; 24 Li (10.1016/j.rcim.2019.101908_bib0046) 2016; 46 |
| References_xml | – volume: 27 start-page: 726 year: 2006 end-page: 732 ident: bib0059 article-title: A new force distribution calculation model for high-quality production processes publication-title: Int. J. Adva. Manuf. Technol. – volume: 23 start-page: 589 year: 2007 end-page: 598 ident: bib0011 article-title: Automated robotic grinding by low-powered manipulator publication-title: Robot. Comput. Integr. Manuf. – volume: 137 year: 2015 ident: bib0115 article-title: Geometric error modeling, separation, and compensation of tilted toric wheel in fewer-axis grinding for large complex optical mirrors publication-title: J. Manuf. Sci. Eng. – volume: 22 start-page: 1381 year: 2017 end-page: 1391 ident: bib0088 article-title: A novel six-axis force/torque sensor for robotic applications publication-title: IEEE/ASME Trans. Mechatron. – volume: 23 start-page: 15205 year: 2015 end-page: 15223 ident: bib0044 article-title: Improved camera calibration method based on perpendicularity compensation for binocular stereo vision measurement system publication-title: Opt Exp. – volume: 182 start-page: 498 year: 2007 end-page: 511 ident: bib0093 article-title: Toward physical description of form and finish performance in dry belt finishing process by a tribo-energetic approach publication-title: J. Mater. Process. Technol. – volume: 49 start-page: 54 year: 2018 end-page: 65 ident: bib0027 article-title: Design of a force-controlled end-effector with low-inertia effect for robotic polishing using macro-mini robot approach publication-title: Robot. Comput. Integr. Manuf. – volume: 51 year: 2012 ident: bib0045 article-title: Calibration technology in application of robot-laser scanning system publication-title: Opt. Eng. – volume: 10 start-page: 2271 year: 2016 end-page: 2278 ident: bib0082 article-title: Adaptive neural network control of coordinated robotic manipulators with output constraint publication-title: IET Control Theory Appl. – volume: 5 start-page: 799 year: 2018 end-page: 801 ident: bib0038 article-title: Tri-Co robot: a chinese robotic research initiative for enhanced robot interaction capabilities publication-title: Natl. Sci. Rev. – volume: 14 start-page: 55 year: 2016 end-page: 64 ident: bib0080 article-title: Modeling and control of robotic automatic polishing for curved surfaces publication-title: CIRP J. Manuf. Sci. Technol. – volume: 93 start-page: 3873 year: 2017 end-page: 3887 ident: bib0098 article-title: Hybrid model based on energy and experimental methods for parallel hexapod-robotic light abrasive grinding operations publication-title: Int. J. Adva. Manuf. Technol. – volume: 48 start-page: 12 year: 2017 end-page: 29 ident: bib0005 article-title: Efficiency evaluation of robots in machining applications using industrial performance measure publication-title: Robot. Comput. Integr. Manuf. – volume: 260 start-page: 9 year: 2018 end-page: 19 ident: bib0110 article-title: A novel sound-based belt condition monitoring method for robotic grinding using optimally pruned extreme learning machine publication-title: J. Mater. Process. Technol. – volume: 24 start-page: 520 year: 2011 end-page: 526 ident: bib0022 article-title: A path planning method for robotic belt surface grinding publication-title: Chin. J. Aeronaut. – volume: 25 start-page: 204 year: 2009 end-page: 210 ident: bib0017 article-title: Accurate robotic belt grinding of workpieces with complex geometries using relative calibration techniques publication-title: Robot. Comput. Integr. Manuf. – volume: 35–36 start-page: 16 year: 2015 end-page: 26 ident: bib0051 article-title: Efficient sparse icp publication-title: Comput. Aided Geom. Des. – volume: 21 start-page: 716 year: 2013 end-page: 724 ident: bib0089 article-title: Intelligent control for a robot belt grinding system publication-title: IEEE Trans. Control Syst. Technol. – volume: 46 start-page: 708 year: 2006 end-page: 716 ident: bib0008 article-title: Simulation and verification of belt grinding with industrial robots publication-title: Int. J. Mach. Tools Manuf – volume: 62 start-page: 1388 year: 2019 end-page: 1400 ident: bib0032 article-title: Mobile-robotic machining for large complex components: a review study publication-title: Sci. China Technol. Sci. – volume: 21 start-page: 2227 year: 2016 end-page: 2235 ident: bib0004 article-title: A wireless force-sensing and model-based approach for enhancement of machining accuracy in robotic milling publication-title: IEEE/ASME Trans. Mechatron. – volume: 67 start-page: 277 year: 2006 end-page: 296 ident: bib0054 article-title: Geometry and convergence analysis of algorithms for registration of 3D shapes publication-title: Int. J. Comput. Vis. – volume: 29 start-page: 454 year: 2016 end-page: 464 ident: bib0078 article-title: Force control compensation method with variable load stiffness and damping of the hydraulic drive unit force control system publication-title: Chin. J. Mech. Eng. (Eng. Ed.) – volume: 93 start-page: 3383 year: 2017 end-page: 3393 ident: bib0112 article-title: Five-axis abrasive belt flap wheel polishing method for leading and trailing edges of aero-engine blade publication-title: Int. J. Adva. Manuf. Technol. – year: 1998 ident: bib0058 article-title: Modellierung Des Abtragsverhaltens Elastischer Robotergefuehrter Schleifwerkzeuge – volume: 59 start-page: 30 year: 2013 end-page: 37 ident: bib0101 article-title: Influence of abrasive grain geometry on friction coefficient and wear rate in belt finishing publication-title: Tribol. Int. – volume: 96 start-page: 149 year: 2014 end-page: 163 ident: bib0048 article-title: Keypoint-based 4-Points congruent sets – Automated marker-less registration of laser scans publication-title: ISPRS J. Photogramm. Remote Sens. – volume: 80 start-page: 1159 year: 2015 end-page: 1171 ident: bib0107 article-title: Characterization of grinding wheel grain topography under different robotic grinding conditions using confocal microscope publication-title: Int. J. Adva. Manuf. Technol. – volume: 93 start-page: 241 year: 2016 end-page: 251 ident: bib0066 article-title: A controllable material removal strategy considering force-geometry model of belt grinding processes publication-title: Int. J. Adva. Manuf. Technol. – volume: 46 start-page: 620 year: 2016 end-page: 629 ident: bib0083 article-title: Adaptive neural network control of an uncertain robot with full-state constraints publication-title: IEEE Trans. Cybern. – volume: 103 start-page: 1239 year: 2019 end-page: 1255 ident: bib0031 article-title: Industrial robotic machining: a review publication-title: Int. J. Adva. Manuf. Technol. – volume: 51 start-page: 189 year: 2018 end-page: 201 ident: bib0036 article-title: Calibration and accuracy analysis of robotic belt grinding system using the ruby probe and criteria sphere publication-title: Robot. Comput. Integr. Manuf. – volume: 21 start-page: 2294 year: 2016 end-page: 2306 ident: bib0056 article-title: et al., 3-D shape matching of a blade surface in robotic grinding applications publication-title: IEEE/ASME Trans. Mechatron. – volume: 35 start-page: 280 year: 2007 end-page: 292 ident: bib0079 article-title: Clad height control in laser solid freeform fabrication using a feedforward pid controller publication-title: Int. J. Adva. Manuf. Technol. – volume: 14 start-page: 239 year: 1992 end-page: 256 ident: bib0053 article-title: A method for registration of 3-D shapes publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – volume: 53 start-page: 2165 year: 2014 end-page: 2178 ident: bib0019 article-title: A case study of blade inspection based on optical scanning method publication-title: Int. J. Prod. Res. – volume: 23 start-page: 1903 year: 2011 end-page: 1913 ident: bib0024 article-title: A method for grinding removal control of a robot belt grinding system publication-title: J. Intell. Manuf. – volume: 82 start-page: 2113 year: 2015 end-page: 2122 ident: bib0002 article-title: Model of an abrasive belt grinding surface removal contour and its application publication-title: Int. J. Adva. Manuf. Technol. – volume: 37 start-page: 496 year: 2019 end-page: 508 ident: bib0072 article-title: An improved robotic abrasive belt grinding force model considering the effects of cut-in and cut-off publication-title: J. Manuf. Process – volume: 34 start-page: 61 year: 2019 end-page: 69 ident: bib0096 article-title: A comprehensive study on surface integrity of nickel-based superalloy Inconel 718 under robotic belt grinding publication-title: Mater. Manuf. Processes – volume: 16 start-page: 1181 year: 2019 end-page: 1191 ident: bib0034 article-title: Variance-Minimization iterative matching method for free-form surfaces-part I: theory and method publication-title: IEEE Trans. Autom. Sci. Eng. – volume: 64 start-page: 447 year: 2012 end-page: 458 ident: bib0012 article-title: A simulation platform for optimal selection of robotic belt grinding system parameters publication-title: Int. J. Adva. Manuf. Technol. – volume: 15 start-page: 1 year: 2018 end-page: 13 ident: bib0023 article-title: Collision-free planning algorithm of motion path for the robot belt grinding system publication-title: Int. J. Adv. Rob. Syst. – volume: 208 start-page: 187 year: 2008 end-page: 195 ident: bib0094 article-title: Characterization and modelling of the residual stresses induced by belt finishing on a AISI52100 hardened steel publication-title: J. Mater. Process. Technol. – year: 2019 ident: bib0113 article-title: Research On the Key Technology of Robotic Abrasive Belt Grinding of Compressor Blades – volume: 16 start-page: 1205 year: 2019 end-page: 1217 ident: bib0043 article-title: RTRobMultiAxisControl: a framework for real-time multiaxis and multirobot control publication-title: IEEE Trans. Autom. Sci. Eng. – volume: 30 start-page: 167 year: 2009 end-page: 180 ident: bib0039 article-title: Robot control overview: an industrial perspective. modeling publication-title: Identification and Control: A Norwegian Research Bulletin – year: 2016 ident: bib0077 article-title: Hybrid force_position control of industrial robotic manipulator based on Kalman filter publication-title: Proceedings of 2016 IEEE International Conference on Mechatronics and Automation – volume: 80 start-page: 1855 year: 2015 end-page: 1862 ident: bib0065 article-title: Research on belt grinding for marine propeller blade based on the second-order osculation publication-title: Int. J. Adva. Manuf. Technol. – volume: 83 start-page: 1697 year: 2015 end-page: 1706 ident: bib0064 article-title: Equivalent self-adaptive belt grinding for the real-R edge of an aero-engine precision-forged blade publication-title: Int. J. Adva. Manuf. Technol. – volume: 55 start-page: 110 year: 2019 end-page: 118 ident: bib0109 article-title: Edge control in precision robotic polishing based on space-variant deconvolution publication-title: Precis. Eng. – volume: 90 start-page: 55 year: 2015 end-page: 59 ident: bib0063 article-title: On energetic assessment of cutting mechanisms in robot-assisted belt grinding of titanium alloys publication-title: Tribol. Int. – volume: 259 start-page: 1137 year: 2005 end-page: 1143 ident: bib0100 article-title: Effect of the belt grinding on the surface texture: modeling of the contact and abrasive wear publication-title: Wear – volume: 16 start-page: 1192 year: 2019 end-page: 1204 ident: bib0035 article-title: Variance-Minimization iterative matching method for free-form surfaces–part II: experiment and analysis publication-title: IEEE Trans. Autom. Sci. Eng. – volume: 30 start-page: 528 year: 2017 end-page: 543 ident: bib0001 article-title: Machining the integral impeller and blisk of aero-engines: a review of surface finishing and strengthening technologies publication-title: Chin. J. Mech. Eng. – volume: 59 start-page: 394 year: 2019 end-page: 405 ident: bib0007 article-title: Positioning error compensation on two-dimensional manifold for robotic machining publication-title: Robot. Comput. Integr. Manuf. – volume: 308 start-page: 17 year: 2013 end-page: 28 ident: bib0106 article-title: Micro-scale investigation on belt finishing cutting mechanisms by scratch tests publication-title: Wear – volume: 15 start-page: 2426 year: 2019 end-page: 2434 ident: bib0042 article-title: Fv-SVM-Based wall-thickness error decomposition for adaptive machining of large skin parts publication-title: IEEE Trans. Ind. Inf. – volume: 24 start-page: 346 year: 2011 end-page: 354 ident: bib0014 article-title: Structural dimension optimization of robotic belt grinding system for grinding workpieces with complex shaped surfaces based on dexterity grinding space publication-title: Chin. J. Aeronaut. – year: 2001 ident: bib0041 article-title: Modeling and control of internet based cooperative teleoperation publication-title: Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation – volume: 14 start-page: 1753 year: 2018 end-page: 1763 ident: bib0086 article-title: Iterative learning procedure with reinforcement for high-accuracy force tracking in robotized tasks publication-title: IEEE Trans. Ind. Inf. – volume: 19 start-page: 1635 year: 2019 ident: bib0026 article-title: An adaptive sliding-mode iterative constant-force control method for robotic belt grinding based on a one-dimensional force sensor publication-title: Sensors (Basel) – volume: 266 start-page: 578 year: 2009 end-page: 580 ident: bib0104 article-title: New criterion of grain size choice for optimal surface texture and tolerance in belt finishing production publication-title: Wear – volume: 35 start-page: 1090 year: 2008 end-page: 1099 ident: bib0060 article-title: Real-time simulation and visualization of robotic belt grinding processes publication-title: Int. J. Adva. Manuf. Technol. – year: 2019 ident: bib0073 article-title: On energetic evaluation of robotic belt grinding mechanisms based on single spherical abrasive grain model publication-title: Int. J. Adva. Manuf. Technol. – year: 2019 ident: bib0067 article-title: A novel material removal prediction method based on acoustic sensing and ensemble XGBoost learning algorithm for robotic belt grinding of inconel 718 publication-title: Int. J. Adva. Manuf. Technol. – volume: 62 start-page: 731 year: 2013 end-page: 750 ident: bib0114 article-title: Machine tools for large parts publication-title: CIRP Ann. – volume: 66 start-page: 1489 year: 2012 end-page: 1497 ident: bib0068 article-title: Robot machining: recent development and future research issues publication-title: Int. J. Adva. Manuf. Technol. – volume: 28 year: 2017 ident: bib0020 article-title: A new calibration method between an optical sensor and a rotating platform in turbine blade inspection publication-title: Meas. Sci. Technol. – start-page: 1457 year: 2013 end-page: 1464 ident: bib0052 article-title: Go-ICP: solving 3D registration efficiently and globally optimally publication-title: The IEEE International Conference on Computer Vision (ICCV) – volume: 57 start-page: 391 year: 2019 end-page: 403 ident: bib0087 article-title: Contact force control and vibration suppression in robotic polishing with a smart end effector publication-title: Robot. Comput. Integr. Manuf. – volume: 48 start-page: 59 year: 2017 end-page: 72 ident: bib0015 article-title: Posture optimization methodology of 6R industrial robots for machining using performance evaluation indexes publication-title: Robot. Comput. Integr. Manuf. – volume: 47 start-page: 962 year: 2007 end-page: 970 ident: bib0010 article-title: A local process model for simulation of robotic belt grinding publication-title: Int. J. Mach. Tools Manuf – volume: 73 start-page: 949 year: 2014 end-page: 972 ident: bib0013 article-title: Vibro-impact dynamics of material removal in a robotic grinding process publication-title: Int. J. Adv. Manuf. Technol. – volume: 91 start-page: 699 year: 2017 end-page: 708 ident: bib0062 article-title: Prediction of depth of cut for robotic belt grinding publication-title: Int. J. Adva. Manuf. Technol. – volume: 22 start-page: 203 year: 2017 end-page: 224 ident: bib0108 article-title: Study of grinding tool profiling for robotic processes publication-title: Mach. Sci. Technol. – volume: 2 start-page: 209 year: 2017 end-page: 216 ident: bib0074 article-title: Impedance control design based on plastic deformation for a robotic arm publication-title: IEEE Robot. Autom. Lett. – volume: 127 start-page: 140 year: 2002 end-page: 145 ident: bib0021 article-title: Robotic grinding and polishing for turbine-vane overhaul publication-title: J. Mater. Process. Technol. – year: 2018 ident: bib0091 article-title: Robotic polishing of free-form surfaces with controlled force and effective path planning publication-title: ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE – volume: 94 start-page: 303 year: 1972 end-page: 309 ident: bib0090 article-title: The mathematics of coordinated control of prosthetic arms and manipulators publication-title: J. Dyn. Syst. Measur. Control Trans. ASME – volume: 41 start-page: 992 year: 2008 end-page: 1001 ident: bib0105 article-title: Mechanical modelling of micro-scale abrasion in superfinish belt grinding publication-title: Tribol. Int. – volume: 8 start-page: 835 year: 2011 end-page: 845 ident: bib0084 article-title: Model-Assisted stochastic learning for robotic applications publication-title: IEEE Trans. Autom. Sci. Eng. – volume: 59 start-page: 92 year: 2019 end-page: 103 ident: bib0047 article-title: An enhanced kinematic model for calibration of robotic machining systems with parallelogram mechanisms publication-title: Robot. Comput. Integr. Manuf. – volume: 24 start-page: 57 year: 2016 end-page: 70 ident: bib0040 article-title: Adaptive fuzzy control of multilateral asymmetric teleoperation for coordinated multiple mobile manipulators publication-title: IEEE Trans. Fuzzy Syst. – volume: 82 start-page: 351 year: 2016 end-page: 359 ident: bib0070 article-title: Dynamic characterization of machining robot and stability analysis publication-title: Int. J. Adva. Manuf. Technol. – volume: 5 start-page: 68 year: 2011 end-page: 76 ident: bib0055 article-title: Three-dimensional point-based shape registration algorithm based on adaptive distance function publication-title: IET Comput. Vis. – volume: 203 start-page: 786 year: 2008 end-page: 789 ident: bib0103 article-title: Abrasiveness properties assessment of coated abrasives for precision belt grinding publication-title: Surf. Coat. Technol. – volume: 85 start-page: 47 year: 2014 end-page: 55 ident: bib0003 article-title: A workcell calibration method for enhancing accuracy in robot machining of aerospace parts publication-title: Int. J. Adva. Manuf. Technol. – volume: 46 start-page: 2634 year: 2016 end-page: 2642 ident: bib0046 article-title: Hand-Eye calibration in visually-guided robot grinding publication-title: IEEE Trans. Cybern. – volume: 65 start-page: 88 year: 2015 end-page: 94 ident: bib0050 article-title: A modified ICP algorithm based on dynamic adjustment factor for registration of point cloud and CAD model publication-title: Pattern Recognit. Lett. – volume: 68 start-page: 799 year: 2019 end-page: 822 ident: bib0030 article-title: Robots in machining publication-title: CIRP Ann. – volume: 29 start-page: 309 year: 2013 end-page: 317 ident: bib0069 article-title: Time-optimal and jerk-continuous trajectory planning for robot manipulators with kinematic constraints publication-title: Robot. Comput. Integr. Manuf. – volume: 90 start-page: 635 year: 2017 end-page: 647 ident: bib0018 article-title: TCP-based calibration in robot-assisted belt grinding of aero-engine blades using scanner measurements publication-title: Int. J. Adva. Manuf. Technol. – volume: 71 start-page: 85 year: 2013 end-page: 108 ident: bib0049 article-title: 3D Multi-Layered normal distribution transform for fast and long range scan matching publication-title: J. Intell. Robot. Syst. – volume: 21 start-page: 275 year: 2003 end-page: 283 ident: bib0102 article-title: SMART robotic system for 3D profile turbine vane airfoil repair publication-title: Int. J. Adv. Manuf. Technol. – volume: 34 start-page: 1160 year: 2019 end-page: 1168 ident: bib0097 article-title: Feasibility study of a flexible grinding method for precision machining of the TiAl-based alloy publication-title: Mater. Manuf. Processes – volume: 9 start-page: 1 year: 2017 end-page: 12 ident: bib0111 article-title: Adaptive belt precision grinding for the weak rigidity deformation of blisk leading and trailing edge publication-title: Adva. Mech. Eng. – volume: 209 start-page: 2453 year: 2009 end-page: 2463 ident: bib0061 article-title: Modeling and analysis of the material removal depth for stone polishing publication-title: J. Mater. Process. Technol. – volume: 7 start-page: 1215 year: 2006 end-page: 1224 ident: bib0009 article-title: H. mueller, and B. kuhlenkoetter, Surfel-based surface modeling for robotic belt grinding simulation publication-title: J. Zhejiang Univ.-Sci. A – volume: 79 start-page: 405 year: 2015 end-page: 414 ident: bib0092 article-title: Kinematic analysis and feedrate optimization in six-axis nc abrasive belt grinding of blades publication-title: Int. J. Adva. Manuf. Technol. – volume: 120 start-page: 93 year: 2018 end-page: 98 ident: bib0037 article-title: Analysis and assessment of robotic belt grinding mechanisms by force modeling and force control experiments publication-title: Tribol. Int. – volume: 31 start-page: 584 year: 2018 end-page: 596 ident: bib0075 article-title: Design and performance analysis of position-based impedance control for an electrohydrostatic actuation system publication-title: Chin. J. Aeronaut. – volume: 23 start-page: 2240 year: 2018 end-page: 2251 ident: bib0006 article-title: A review on chatter in robotic machining process regarding both regenerative and mode coupling mechanism publication-title: IEEE/ASME Trans. Mechatron. – volume: 37 start-page: 787 year: 2013 end-page: 792 ident: bib0085 article-title: A real-time polishing force control system for ultraprecision finishing of micro-optics publication-title: Precis. Eng. – volume: 37 start-page: 5 year: 2018 end-page: 8 ident: bib0071 article-title: Review on intelligent path planning algorithm of mobile robots publication-title: Trans. Microsyst. Technol. – volume: 77 start-page: 939 year: 2015 end-page: 953 ident: bib0081 article-title: Design of fuzzy logic controller of industrial robot for roughing the uppers of fashion shoes publication-title: Int. J. Adva. Manuf. Technol. – volume: 17 start-page: 309 year: 2012 end-page: 317 ident: bib0025 article-title: An adaptive modeling method for a robot belt grinding process publication-title: IEEE/ASME Trans. Mechatron. – volume: 45 start-page: 641 year: 2005 end-page: 648 ident: bib0057 article-title: An efficient method for solving the signorini problem in the simulation of free-form surfaces produced by belt grinding publication-title: Int. J. Mach. Tools Manuf – volume: 8 start-page: 824 year: 2011 end-page: 834 ident: bib0076 article-title: Development and force/position control of a new hybrid thermo-piezoelectric microgripper dedicated to micromanipulation tasks publication-title: IEEE Trans. Autom. Sci. Eng. – volume: 47 year: 2008 ident: bib0016 article-title: Calibration of a portable laser 3-D scanner used by a robot and its use in measurement publication-title: Opt. Eng. – volume: 9 start-page: 1 year: 2017 end-page: 12 ident: bib0033 article-title: Modeling of the working accuracy for robotic belt grinding system for turbine blades publication-title: Adva. Mech. Eng. – year: 2019 ident: bib0028 article-title: Application of novel force control strategies to enhance robotic abrasive belt grinding quality of aero-engine blades publication-title: Chin. J. Aeronaut. – volume: 74 start-page: 653 year: 2014 end-page: 663 ident: bib0095 article-title: Surface roughness prediction and parameters optimization in grinding and polishing process for IBR of aero-engine publication-title: Int. J. Adva. Manuf. Technol. – volume: 101 start-page: 461 year: 2019 end-page: 474 ident: bib0029 article-title: Robotic grinding of a blisk with two degrees of freedom contact force control publication-title: Int. J. Adva. Manuf. Technol. – volume: 96 start-page: 3403 year: 2018 end-page: 3416 ident: bib0099 article-title: High-performance parallel hexapod-robotic light abrasive grinding using real-time tool deflection compensation and constant resultant force control publication-title: Int. J. Adva. Manuf. Technol. – volume: 19 start-page: 1635 issue: 7 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0026 article-title: An adaptive sliding-mode iterative constant-force control method for robotic belt grinding based on a one-dimensional force sensor publication-title: Sensors (Basel) doi: 10.3390/s19071635 – volume: 79 start-page: 405 issue: 1–4 year: 2015 ident: 10.1016/j.rcim.2019.101908_bib0092 article-title: Kinematic analysis and feedrate optimization in six-axis nc abrasive belt grinding of blades publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-015-6824-9 – volume: 46 start-page: 708 issue: 7–8 year: 2006 ident: 10.1016/j.rcim.2019.101908_bib0008 article-title: Simulation and verification of belt grinding with industrial robots publication-title: Int. J. Mach. Tools Manuf doi: 10.1016/j.ijmachtools.2005.07.033 – year: 2016 ident: 10.1016/j.rcim.2019.101908_bib0077 article-title: Hybrid force_position control of industrial robotic manipulator based on Kalman filter – volume: 67 start-page: 277 issue: 3 year: 2006 ident: 10.1016/j.rcim.2019.101908_bib0054 article-title: Geometry and convergence analysis of algorithms for registration of 3D shapes publication-title: Int. J. Comput. Vis. doi: 10.1007/s11263-006-5167-2 – volume: 85 start-page: 47 issue: 1–4 year: 2014 ident: 10.1016/j.rcim.2019.101908_bib0003 article-title: A workcell calibration method for enhancing accuracy in robot machining of aerospace parts publication-title: Int. J. Adva. Manuf. Technol. – volume: 82 start-page: 351 issue: 1–4 year: 2016 ident: 10.1016/j.rcim.2019.101908_bib0070 article-title: Dynamic characterization of machining robot and stability analysis publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-015-7336-3 – volume: 82 start-page: 2113 issue: 9–12 year: 2015 ident: 10.1016/j.rcim.2019.101908_bib0002 article-title: Model of an abrasive belt grinding surface removal contour and its application publication-title: Int. J. Adva. Manuf. Technol. – volume: 22 start-page: 203 issue: 2 year: 2017 ident: 10.1016/j.rcim.2019.101908_bib0108 article-title: Study of grinding tool profiling for robotic processes publication-title: Mach. Sci. Technol. doi: 10.1080/10910344.2017.1337132 – volume: 35 start-page: 280 issue: 3–4 year: 2007 ident: 10.1016/j.rcim.2019.101908_bib0079 article-title: Clad height control in laser solid freeform fabrication using a feedforward pid controller publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-006-0721-1 – volume: 96 start-page: 3403 issue: 9–12 year: 2018 ident: 10.1016/j.rcim.2019.101908_bib0099 article-title: High-performance parallel hexapod-robotic light abrasive grinding using real-time tool deflection compensation and constant resultant force control publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-018-1838-8 – volume: 73 start-page: 949 issue: 5–8 year: 2014 ident: 10.1016/j.rcim.2019.101908_bib0013 article-title: Vibro-impact dynamics of material removal in a robotic grinding process publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-014-5838-z – volume: 15 start-page: 1 issue: 4 year: 2018 ident: 10.1016/j.rcim.2019.101908_bib0023 article-title: Collision-free planning algorithm of motion path for the robot belt grinding system publication-title: Int. J. Adv. Rob. Syst. – volume: 34 start-page: 61 issue: 1 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0096 article-title: A comprehensive study on surface integrity of nickel-based superalloy Inconel 718 under robotic belt grinding publication-title: Mater. Manuf. Processes doi: 10.1080/10426914.2018.1512137 – volume: 83 start-page: 1697 issue: 9–12 year: 2015 ident: 10.1016/j.rcim.2019.101908_bib0064 article-title: Equivalent self-adaptive belt grinding for the real-R edge of an aero-engine precision-forged blade publication-title: Int. J. Adva. Manuf. Technol. – volume: 24 start-page: 346 issue: 3 year: 2011 ident: 10.1016/j.rcim.2019.101908_bib0014 article-title: Structural dimension optimization of robotic belt grinding system for grinding workpieces with complex shaped surfaces based on dexterity grinding space publication-title: Chin. J. Aeronaut. doi: 10.1016/S1000-9361(11)60041-1 – volume: 93 start-page: 241 issue: 1–4 year: 2016 ident: 10.1016/j.rcim.2019.101908_bib0066 article-title: A controllable material removal strategy considering force-geometry model of belt grinding processes publication-title: Int. J. Adva. Manuf. Technol. – volume: 93 start-page: 3873 issue: 9–12 year: 2017 ident: 10.1016/j.rcim.2019.101908_bib0098 article-title: Hybrid model based on energy and experimental methods for parallel hexapod-robotic light abrasive grinding operations publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-017-0798-8 – volume: 266 start-page: 578 issue: 5–6 year: 2009 ident: 10.1016/j.rcim.2019.101908_bib0104 article-title: New criterion of grain size choice for optimal surface texture and tolerance in belt finishing production publication-title: Wear doi: 10.1016/j.wear.2008.04.074 – year: 1998 ident: 10.1016/j.rcim.2019.101908_bib0058 – year: 2001 ident: 10.1016/j.rcim.2019.101908_bib0041 article-title: Modeling and control of internet based cooperative teleoperation – volume: 62 start-page: 1388 issue: 8 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0032 article-title: Mobile-robotic machining for large complex components: a review study publication-title: Sci. China Technol. Sci. doi: 10.1007/s11431-019-9510-1 – volume: 22 start-page: 1381 issue: 3 year: 2017 ident: 10.1016/j.rcim.2019.101908_bib0088 article-title: A novel six-axis force/torque sensor for robotic applications publication-title: IEEE/ASME Trans. Mechatron. doi: 10.1109/TMECH.2016.2640194 – start-page: 1457 year: 2013 ident: 10.1016/j.rcim.2019.101908_bib0052 article-title: Go-ICP: solving 3D registration efficiently and globally optimally – volume: 308 start-page: 17 issue: 1–2 year: 2013 ident: 10.1016/j.rcim.2019.101908_bib0106 article-title: Micro-scale investigation on belt finishing cutting mechanisms by scratch tests publication-title: Wear doi: 10.1016/j.wear.2013.09.016 – volume: 46 start-page: 2634 issue: 11 year: 2016 ident: 10.1016/j.rcim.2019.101908_bib0046 article-title: Hand-Eye calibration in visually-guided robot grinding publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2015.2483740 – volume: 7 start-page: 1215 issue: 7 year: 2006 ident: 10.1016/j.rcim.2019.101908_bib0009 article-title: H. mueller, and B. kuhlenkoetter, Surfel-based surface modeling for robotic belt grinding simulation publication-title: J. Zhejiang Univ.-Sci. A doi: 10.1631/jzus.2006.A1215 – volume: 24 start-page: 520 issue: 4 year: 2011 ident: 10.1016/j.rcim.2019.101908_bib0022 article-title: A path planning method for robotic belt surface grinding publication-title: Chin. J. Aeronaut. doi: 10.1016/S1000-9361(11)60060-5 – volume: 53 start-page: 2165 issue: 7 year: 2014 ident: 10.1016/j.rcim.2019.101908_bib0019 article-title: A case study of blade inspection based on optical scanning method publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2014.974851 – volume: 17 start-page: 309 issue: 2 year: 2012 ident: 10.1016/j.rcim.2019.101908_bib0025 article-title: An adaptive modeling method for a robot belt grinding process publication-title: IEEE/ASME Trans. Mechatron. doi: 10.1109/TMECH.2010.2102047 – volume: 29 start-page: 454 issue: 3 year: 2016 ident: 10.1016/j.rcim.2019.101908_bib0078 article-title: Force control compensation method with variable load stiffness and damping of the hydraulic drive unit force control system publication-title: Chin. J. Mech. Eng. (Eng. Ed.) doi: 10.3901/CJME.2016.0311.030 – volume: 14 start-page: 55 year: 2016 ident: 10.1016/j.rcim.2019.101908_bib0080 article-title: Modeling and control of robotic automatic polishing for curved surfaces publication-title: CIRP J. Manuf. Sci. Technol. doi: 10.1016/j.cirpj.2016.05.010 – volume: 47 issue: 1 year: 2008 ident: 10.1016/j.rcim.2019.101908_bib0016 article-title: Calibration of a portable laser 3-D scanner used by a robot and its use in measurement publication-title: Opt. Eng. doi: 10.1117/1.2829766 – volume: 23 start-page: 1903 issue: 5 year: 2011 ident: 10.1016/j.rcim.2019.101908_bib0024 article-title: A method for grinding removal control of a robot belt grinding system publication-title: J. Intell. Manuf. doi: 10.1007/s10845-011-0508-6 – volume: 31 start-page: 584 issue: 3 year: 2018 ident: 10.1016/j.rcim.2019.101908_bib0075 article-title: Design and performance analysis of position-based impedance control for an electrohydrostatic actuation system publication-title: Chin. J. Aeronaut. doi: 10.1016/j.cja.2017.08.015 – volume: 5 start-page: 799 issue: 6 year: 2018 ident: 10.1016/j.rcim.2019.101908_bib0038 article-title: Tri-Co robot: a chinese robotic research initiative for enhanced robot interaction capabilities publication-title: Natl. Sci. Rev. doi: 10.1093/nsr/nwx148 – volume: 59 start-page: 394 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0007 article-title: Positioning error compensation on two-dimensional manifold for robotic machining publication-title: Robot. Comput. Integr. Manuf. doi: 10.1016/j.rcim.2019.05.013 – volume: 55 start-page: 110 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0109 article-title: Edge control in precision robotic polishing based on space-variant deconvolution publication-title: Precis. Eng. doi: 10.1016/j.precisioneng.2018.08.015 – volume: 23 start-page: 589 issue: 5 year: 2007 ident: 10.1016/j.rcim.2019.101908_bib0011 article-title: Automated robotic grinding by low-powered manipulator publication-title: Robot. Comput. Integr. Manuf. doi: 10.1016/j.rcim.2005.12.013 – volume: 59 start-page: 92 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0047 article-title: An enhanced kinematic model for calibration of robotic machining systems with parallelogram mechanisms publication-title: Robot. Comput. Integr. Manuf. doi: 10.1016/j.rcim.2019.03.008 – volume: 71 start-page: 85 issue: 1 year: 2013 ident: 10.1016/j.rcim.2019.101908_bib0049 article-title: 3D Multi-Layered normal distribution transform for fast and long range scan matching publication-title: J. Intell. Robot. Syst. doi: 10.1007/s10846-012-9780-8 – volume: 65 start-page: 88 year: 2015 ident: 10.1016/j.rcim.2019.101908_bib0050 article-title: A modified ICP algorithm based on dynamic adjustment factor for registration of point cloud and CAD model publication-title: Pattern Recognit. Lett. doi: 10.1016/j.patrec.2015.07.019 – year: 2018 ident: 10.1016/j.rcim.2019.101908_bib0091 article-title: Robotic polishing of free-form surfaces with controlled force and effective path planning – volume: 21 start-page: 275 year: 2003 ident: 10.1016/j.rcim.2019.101908_bib0102 article-title: SMART robotic system for 3D profile turbine vane airfoil repair publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s001700300032 – volume: 9 start-page: 1 issue: 10 year: 2017 ident: 10.1016/j.rcim.2019.101908_bib0111 article-title: Adaptive belt precision grinding for the weak rigidity deformation of blisk leading and trailing edge publication-title: Adva. Mech. Eng. – volume: 14 start-page: 1753 issue: 4 year: 2018 ident: 10.1016/j.rcim.2019.101908_bib0086 article-title: Iterative learning procedure with reinforcement for high-accuracy force tracking in robotized tasks publication-title: IEEE Trans. Ind. Inf. doi: 10.1109/TII.2017.2748236 – volume: 203 start-page: 786 issue: 5–7 year: 2008 ident: 10.1016/j.rcim.2019.101908_bib0103 article-title: Abrasiveness properties assessment of coated abrasives for precision belt grinding publication-title: Surf. Coat. Technol. doi: 10.1016/j.surfcoat.2008.08.058 – volume: 21 start-page: 716 issue: 3 year: 2013 ident: 10.1016/j.rcim.2019.101908_bib0089 article-title: Intelligent control for a robot belt grinding system publication-title: IEEE Trans. Control Syst. Technol. doi: 10.1109/TCST.2012.2191587 – volume: 15 start-page: 2426 issue: 4 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0042 article-title: Fv-SVM-Based wall-thickness error decomposition for adaptive machining of large skin parts publication-title: IEEE Trans. Ind. Inf. doi: 10.1109/TII.2018.2879500 – year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0028 article-title: Application of novel force control strategies to enhance robotic abrasive belt grinding quality of aero-engine blades publication-title: Chin. J. Aeronaut. doi: 10.1016/j.cja.2019.01.023 – volume: 209 start-page: 2453 issue: 5 year: 2009 ident: 10.1016/j.rcim.2019.101908_bib0061 article-title: Modeling and analysis of the material removal depth for stone polishing publication-title: J. Mater. Process. Technol. doi: 10.1016/j.jmatprotec.2008.05.041 – volume: 49 start-page: 54 year: 2018 ident: 10.1016/j.rcim.2019.101908_bib0027 article-title: Design of a force-controlled end-effector with low-inertia effect for robotic polishing using macro-mini robot approach publication-title: Robot. Comput. Integr. Manuf. doi: 10.1016/j.rcim.2017.05.011 – volume: 8 start-page: 824 issue: 4 year: 2011 ident: 10.1016/j.rcim.2019.101908_bib0076 article-title: Development and force/position control of a new hybrid thermo-piezoelectric microgripper dedicated to micromanipulation tasks publication-title: IEEE Trans. Autom. Sci. Eng. doi: 10.1109/TASE.2011.2157683 – volume: 259 start-page: 1137 issue: 7–12 year: 2005 ident: 10.1016/j.rcim.2019.101908_bib0100 article-title: Effect of the belt grinding on the surface texture: modeling of the contact and abrasive wear publication-title: Wear doi: 10.1016/j.wear.2005.02.113 – volume: 37 start-page: 5 issue: 8 year: 2018 ident: 10.1016/j.rcim.2019.101908_bib0071 article-title: Review on intelligent path planning algorithm of mobile robots publication-title: Trans. Microsyst. Technol. – volume: 64 start-page: 447 issue: 1–4 year: 2012 ident: 10.1016/j.rcim.2019.101908_bib0012 article-title: A simulation platform for optimal selection of robotic belt grinding system parameters publication-title: Int. J. Adva. Manuf. Technol. – volume: 90 start-page: 635 issue: 1–4 year: 2017 ident: 10.1016/j.rcim.2019.101908_bib0018 article-title: TCP-based calibration in robot-assisted belt grinding of aero-engine blades using scanner measurements publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-016-9331-8 – volume: 45 start-page: 641 issue: 6 year: 2005 ident: 10.1016/j.rcim.2019.101908_bib0057 article-title: An efficient method for solving the signorini problem in the simulation of free-form surfaces produced by belt grinding publication-title: Int. J. Mach. Tools Manuf doi: 10.1016/j.ijmachtools.2004.10.006 – volume: 8 start-page: 835 issue: 4 year: 2011 ident: 10.1016/j.rcim.2019.101908_bib0084 article-title: Model-Assisted stochastic learning for robotic applications publication-title: IEEE Trans. Autom. Sci. Eng. doi: 10.1109/TASE.2011.2159708 – volume: 21 start-page: 2227 issue: 5 year: 2016 ident: 10.1016/j.rcim.2019.101908_bib0004 article-title: A wireless force-sensing and model-based approach for enhancement of machining accuracy in robotic milling publication-title: IEEE/ASME Trans. Mechatron. doi: 10.1109/TMECH.2016.2567319 – volume: 30 start-page: 167 issue: 3 year: 2009 ident: 10.1016/j.rcim.2019.101908_bib0039 article-title: Robot control overview: an industrial perspective. modeling publication-title: Identification and Control: A Norwegian Research Bulletin doi: 10.4173/mic.2009.3.7 – volume: 37 start-page: 787 issue: 4 year: 2013 ident: 10.1016/j.rcim.2019.101908_bib0085 article-title: A real-time polishing force control system for ultraprecision finishing of micro-optics publication-title: Precis. Eng. doi: 10.1016/j.precisioneng.2013.01.014 – year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0067 article-title: A novel material removal prediction method based on acoustic sensing and ensemble XGBoost learning algorithm for robotic belt grinding of inconel 718 publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-019-04170-7 – volume: 21 start-page: 2294 issue: 5 year: 2016 ident: 10.1016/j.rcim.2019.101908_bib0056 article-title: et al., 3-D shape matching of a blade surface in robotic grinding applications publication-title: IEEE/ASME Trans. Mechatron. doi: 10.1109/TMECH.2016.2574813 – volume: 127 start-page: 140 issue: 2 year: 2002 ident: 10.1016/j.rcim.2019.101908_bib0021 article-title: Robotic grinding and polishing for turbine-vane overhaul publication-title: J. Mater. Process. Technol. doi: 10.1016/S0924-0136(02)00114-0 – volume: 77 start-page: 939 issue: 5–8 year: 2015 ident: 10.1016/j.rcim.2019.101908_bib0081 article-title: Design of fuzzy logic controller of industrial robot for roughing the uppers of fashion shoes publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-014-6501-4 – volume: 37 start-page: 496 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0072 article-title: An improved robotic abrasive belt grinding force model considering the effects of cut-in and cut-off publication-title: J. Manuf. Process doi: 10.1016/j.jmapro.2018.12.029 – volume: 35 start-page: 1090 issue: 11–12 year: 2008 ident: 10.1016/j.rcim.2019.101908_bib0060 article-title: Real-time simulation and visualization of robotic belt grinding processes publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-006-0791-0 – volume: 16 start-page: 1181 issue: 3 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0034 article-title: Variance-Minimization iterative matching method for free-form surfaces-part I: theory and method publication-title: IEEE Trans. Autom. Sci. Eng. doi: 10.1109/TASE.2018.2875154 – volume: 23 start-page: 15205 issue: 12 year: 2015 ident: 10.1016/j.rcim.2019.101908_bib0044 article-title: Improved camera calibration method based on perpendicularity compensation for binocular stereo vision measurement system publication-title: Opt Exp. doi: 10.1364/OE.23.015205 – volume: 10 start-page: 2271 issue: 17 year: 2016 ident: 10.1016/j.rcim.2019.101908_bib0082 article-title: Adaptive neural network control of coordinated robotic manipulators with output constraint publication-title: IET Control Theory Appl. doi: 10.1049/iet-cta.2016.0009 – volume: 9 start-page: 1 issue: 6 year: 2017 ident: 10.1016/j.rcim.2019.101908_bib0033 article-title: Modeling of the working accuracy for robotic belt grinding system for turbine blades publication-title: Adva. Mech. Eng. – volume: 35–36 start-page: 16 year: 2015 ident: 10.1016/j.rcim.2019.101908_bib0051 article-title: Efficient sparse icp publication-title: Comput. Aided Geom. Des. doi: 10.1016/j.cagd.2015.03.022 – volume: 2 start-page: 209 issue: 1 year: 2017 ident: 10.1016/j.rcim.2019.101908_bib0074 article-title: Impedance control design based on plastic deformation for a robotic arm publication-title: IEEE Robot. Autom. Lett. – volume: 80 start-page: 1855 issue: 9–12 year: 2015 ident: 10.1016/j.rcim.2019.101908_bib0065 article-title: Research on belt grinding for marine propeller blade based on the second-order osculation publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-015-7157-4 – volume: 46 start-page: 620 issue: 3 year: 2016 ident: 10.1016/j.rcim.2019.101908_bib0083 article-title: Adaptive neural network control of an uncertain robot with full-state constraints publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2015.2411285 – volume: 62 start-page: 731 issue: 2 year: 2013 ident: 10.1016/j.rcim.2019.101908_bib0114 article-title: Machine tools for large parts publication-title: CIRP Ann. doi: 10.1016/j.cirp.2013.05.009 – volume: 48 start-page: 59 year: 2017 ident: 10.1016/j.rcim.2019.101908_bib0015 article-title: Posture optimization methodology of 6R industrial robots for machining using performance evaluation indexes publication-title: Robot. Comput. Integr. Manuf. doi: 10.1016/j.rcim.2017.02.002 – volume: 59 start-page: 30 year: 2013 ident: 10.1016/j.rcim.2019.101908_bib0101 article-title: Influence of abrasive grain geometry on friction coefficient and wear rate in belt finishing publication-title: Tribol. Int. doi: 10.1016/j.triboint.2012.07.001 – year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0113 – volume: 93 start-page: 3383 issue: 9–12 year: 2017 ident: 10.1016/j.rcim.2019.101908_bib0112 article-title: Five-axis abrasive belt flap wheel polishing method for leading and trailing edges of aero-engine blade publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-017-0717-z – volume: 103 start-page: 1239 issue: 1–4 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0031 article-title: Industrial robotic machining: a review publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-019-03403-z – volume: 30 start-page: 528 issue: 3 year: 2017 ident: 10.1016/j.rcim.2019.101908_bib0001 article-title: Machining the integral impeller and blisk of aero-engines: a review of surface finishing and strengthening technologies publication-title: Chin. J. Mech. Eng. doi: 10.1007/s10033-017-0123-3 – volume: 51 issue: 11 year: 2012 ident: 10.1016/j.rcim.2019.101908_bib0045 article-title: Calibration technology in application of robot-laser scanning system publication-title: Opt. Eng. doi: 10.1117/1.OE.51.11.114204 – volume: 74 start-page: 653 issue: 5–8 year: 2014 ident: 10.1016/j.rcim.2019.101908_bib0095 article-title: Surface roughness prediction and parameters optimization in grinding and polishing process for IBR of aero-engine publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-014-6020-3 – volume: 25 start-page: 204 issue: 1 year: 2009 ident: 10.1016/j.rcim.2019.101908_bib0017 article-title: Accurate robotic belt grinding of workpieces with complex geometries using relative calibration techniques publication-title: Robot. Comput. Integr. Manuf. doi: 10.1016/j.rcim.2007.11.005 – volume: 34 start-page: 1160 issue: 10 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0097 article-title: Feasibility study of a flexible grinding method for precision machining of the TiAl-based alloy publication-title: Mater. Manuf. Processes doi: 10.1080/10426914.2019.1628255 – volume: 120 start-page: 93 year: 2018 ident: 10.1016/j.rcim.2019.101908_bib0037 article-title: Analysis and assessment of robotic belt grinding mechanisms by force modeling and force control experiments publication-title: Tribol. Int. doi: 10.1016/j.triboint.2017.12.043 – volume: 80 start-page: 1159 issue: 5–8 year: 2015 ident: 10.1016/j.rcim.2019.101908_bib0107 article-title: Characterization of grinding wheel grain topography under different robotic grinding conditions using confocal microscope publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-015-7109-z – volume: 94 start-page: 303 issue: 4 year: 1972 ident: 10.1016/j.rcim.2019.101908_bib0090 article-title: The mathematics of coordinated control of prosthetic arms and manipulators publication-title: J. Dyn. Syst. Measur. Control Trans. ASME doi: 10.1115/1.3426611 – volume: 91 start-page: 699 issue: 1–4 year: 2017 ident: 10.1016/j.rcim.2019.101908_bib0062 article-title: Prediction of depth of cut for robotic belt grinding publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-016-9729-3 – volume: 90 start-page: 55 year: 2015 ident: 10.1016/j.rcim.2019.101908_bib0063 article-title: On energetic assessment of cutting mechanisms in robot-assisted belt grinding of titanium alloys publication-title: Tribol. Int. doi: 10.1016/j.triboint.2015.04.004 – volume: 57 start-page: 391 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0087 article-title: Contact force control and vibration suppression in robotic polishing with a smart end effector publication-title: Robot. Comput. Integr. Manuf. doi: 10.1016/j.rcim.2018.12.019 – volume: 101 start-page: 461 issue: 1–4 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0029 article-title: Robotic grinding of a blisk with two degrees of freedom contact force control publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-018-2925-6 – volume: 48 start-page: 12 year: 2017 ident: 10.1016/j.rcim.2019.101908_bib0005 article-title: Efficiency evaluation of robots in machining applications using industrial performance measure publication-title: Robot. Comput. Integr. Manuf. doi: 10.1016/j.rcim.2016.12.005 – volume: 16 start-page: 1192 issue: 3 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0035 article-title: Variance-Minimization iterative matching method for free-form surfaces–part II: experiment and analysis publication-title: IEEE Trans. Autom. Sci. Eng. doi: 10.1109/TASE.2018.2875145 – volume: 28 issue: 3 year: 2017 ident: 10.1016/j.rcim.2019.101908_bib0020 article-title: A new calibration method between an optical sensor and a rotating platform in turbine blade inspection publication-title: Meas. Sci. Technol. doi: 10.1088/1361-6501/aa50df – volume: 41 start-page: 992 issue: 11 year: 2008 ident: 10.1016/j.rcim.2019.101908_bib0105 article-title: Mechanical modelling of micro-scale abrasion in superfinish belt grinding publication-title: Tribol. Int. doi: 10.1016/j.triboint.2008.03.015 – volume: 23 start-page: 2240 issue: 5 year: 2018 ident: 10.1016/j.rcim.2019.101908_bib0006 article-title: A review on chatter in robotic machining process regarding both regenerative and mode coupling mechanism publication-title: IEEE/ASME Trans. Mechatron. doi: 10.1109/TMECH.2018.2864652 – volume: 137 issue: 3 year: 2015 ident: 10.1016/j.rcim.2019.101908_bib0115 article-title: Geometric error modeling, separation, and compensation of tilted toric wheel in fewer-axis grinding for large complex optical mirrors publication-title: J. Manuf. Sci. Eng. doi: 10.1115/1.4029703 – volume: 51 start-page: 189 year: 2018 ident: 10.1016/j.rcim.2019.101908_bib0036 article-title: Calibration and accuracy analysis of robotic belt grinding system using the ruby probe and criteria sphere publication-title: Robot. Comput. Integr. Manuf. doi: 10.1016/j.rcim.2017.12.006 – volume: 14 start-page: 239 issue: 2 year: 1992 ident: 10.1016/j.rcim.2019.101908_bib0053 article-title: A method for registration of 3-D shapes publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.121791 – volume: 260 start-page: 9 year: 2018 ident: 10.1016/j.rcim.2019.101908_bib0110 article-title: A novel sound-based belt condition monitoring method for robotic grinding using optimally pruned extreme learning machine publication-title: J. Mater. Process. Technol. doi: 10.1016/j.jmatprotec.2018.05.013 – volume: 68 start-page: 799 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0030 article-title: Robots in machining publication-title: CIRP Ann. doi: 10.1016/j.cirp.2019.05.009 – volume: 208 start-page: 187 issue: 1–3 year: 2008 ident: 10.1016/j.rcim.2019.101908_bib0094 article-title: Characterization and modelling of the residual stresses induced by belt finishing on a AISI52100 hardened steel publication-title: J. Mater. Process. Technol. doi: 10.1016/j.jmatprotec.2007.12.133 – volume: 24 start-page: 57 issue: 1 year: 2016 ident: 10.1016/j.rcim.2019.101908_bib0040 article-title: Adaptive fuzzy control of multilateral asymmetric teleoperation for coordinated multiple mobile manipulators publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2015.2426215 – volume: 66 start-page: 1489 issue: 9–12 year: 2012 ident: 10.1016/j.rcim.2019.101908_bib0068 article-title: Robot machining: recent development and future research issues publication-title: Int. J. Adva. Manuf. Technol. – volume: 5 start-page: 68 issue: 1 year: 2011 ident: 10.1016/j.rcim.2019.101908_bib0055 article-title: Three-dimensional point-based shape registration algorithm based on adaptive distance function publication-title: IET Comput. Vis. doi: 10.1049/iet-cvi.2009.0032 – volume: 47 start-page: 962 issue: 6 year: 2007 ident: 10.1016/j.rcim.2019.101908_bib0010 article-title: A local process model for simulation of robotic belt grinding publication-title: Int. J. Mach. Tools Manuf doi: 10.1016/j.ijmachtools.2006.07.002 – volume: 182 start-page: 498 issue: 1–3 year: 2007 ident: 10.1016/j.rcim.2019.101908_bib0093 article-title: Toward physical description of form and finish performance in dry belt finishing process by a tribo-energetic approach publication-title: J. Mater. Process. Technol. doi: 10.1016/j.jmatprotec.2006.09.009 – volume: 29 start-page: 309 issue: 2 year: 2013 ident: 10.1016/j.rcim.2019.101908_bib0069 article-title: Time-optimal and jerk-continuous trajectory planning for robot manipulators with kinematic constraints publication-title: Robot. Comput. Integr. Manuf. doi: 10.1016/j.rcim.2012.08.002 – volume: 27 start-page: 726 issue: 7–8 year: 2006 ident: 10.1016/j.rcim.2019.101908_bib0059 article-title: A new force distribution calculation model for high-quality production processes publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-004-2229-x – year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0073 article-title: On energetic evaluation of robotic belt grinding mechanisms based on single spherical abrasive grain model publication-title: Int. J. Adva. Manuf. Technol. doi: 10.1007/s00170-019-04222-y – volume: 96 start-page: 149 year: 2014 ident: 10.1016/j.rcim.2019.101908_bib0048 article-title: Keypoint-based 4-Points congruent sets – Automated marker-less registration of laser scans publication-title: ISPRS J. Photogramm. Remote Sens. doi: 10.1016/j.isprsjprs.2014.06.015 – volume: 16 start-page: 1205 issue: 3 year: 2019 ident: 10.1016/j.rcim.2019.101908_bib0043 article-title: RTRobMultiAxisControl: a framework for real-time multiaxis and multirobot control publication-title: IEEE Trans. Autom. Sci. Eng. doi: 10.1109/TASE.2018.2889813 |
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| SubjectTerms | Complex components Contact force Cooperative control Force control Geometric accuracy Grinding Integrity Multi-robot cooperation Online measurement Precision machining Robotic grinding Robotics Turbine blades Workpieces |
| Title | Robotic grinding of complex components: A step towards efficient and intelligent machining – challenges, solutions, and applications |
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