3D measurement of gears based on a line structured light sensor
Gears are core components of transmission systems. The current trend of gear measurements is the rapid and full digitization. To rapidly obtain information on the three-dimensional (3D) shape of the gear tooth flank, a 3D point cloud measurement system based on a line structure light sensor and high...
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| Published in | Precision engineering Vol. 61; pp. 160 - 169 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier Inc
01.01.2020
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| Subjects | |
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| Abstract | Gears are core components of transmission systems. The current trend of gear measurements is the rapid and full digitization. To rapidly obtain information on the three-dimensional (3D) shape of the gear tooth flank, a 3D point cloud measurement system based on a line structure light sensor and high precision air floating rotary table is proposed. The system can acquire more than 1.5 million 3D data points on one side of the gear tooth flank within less than 5 s. In this study, the measured 3D point cloud data is used to calculate the profile error, pitch error, then compared to those obtained from traditional contact measurements. In addition, tooth flank error was evaluated. The results show that the 3D point cloud measurement system can perform fast and accurately in 3D measurements of gears and it is a novel system for gear measurement and error calculation.
•New Gear points measurement system has been established.•Traditional accuracy parameters have been evaluated.•New gear tooth 3d error has been discussed and calculated.•A new method of gear measurement and evaluation was developed. |
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| AbstractList | Gears are core components of transmission systems. The current trend of gear measurements is the rapid and full digitization. To rapidly obtain information on the three-dimensional (3D) shape of the gear tooth flank, a 3D point cloud measurement system based on a line structure light sensor and high precision air floating rotary table is proposed. The system can acquire more than 1.5 million 3D data points on one side of the gear tooth flank within less than 5 s. In this study, the measured 3D point cloud data is used to calculate the profile error, pitch error, then compared to those obtained from traditional contact measurements. In addition, tooth flank error was evaluated. The results show that the 3D point cloud measurement system can perform fast and accurately in 3D measurements of gears and it is a novel system for gear measurement and error calculation.
•New Gear points measurement system has been established.•Traditional accuracy parameters have been evaluated.•New gear tooth 3d error has been discussed and calculated.•A new method of gear measurement and evaluation was developed. |
| Author | Yu, Bo Zhao, Baoya Sun, Yanqiang Guo, Xiaozhong Shi, Zhaoyao Li, Ke |
| Author_xml | – sequence: 1 givenname: Xiaozhong surname: Guo fullname: Guo, Xiaozhong organization: Beijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology, Beijing 100124, China – sequence: 2 givenname: Zhaoyao surname: Shi fullname: Shi, Zhaoyao email: shizhaoyao@bjut.edu.cn organization: Beijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology, Beijing 100124, China – sequence: 3 givenname: Bo surname: Yu fullname: Yu, Bo organization: Beijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology, Beijing 100124, China – sequence: 4 givenname: Baoya surname: Zhao fullname: Zhao, Baoya organization: Beijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology, Beijing 100124, China – sequence: 5 givenname: Ke surname: Li fullname: Li, Ke organization: Beijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology, Beijing 100124, China – sequence: 6 givenname: Yanqiang surname: Sun fullname: Sun, Yanqiang organization: Beijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology, Beijing 100124, China |
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| Cites_doi | 10.1016/j.cirp.2019.04.078 10.1360/N092016-00072 10.1007/s00170-018-2636-z 10.1016/j.measurement.2016.05.076 10.1016/j.measurement.2018.10.088 10.1016/j.proeng.2014.03.024 10.1109/CISE.2010.5676736 10.1109/34.765658 10.1214/aoms/1177706436 10.3390/s19061450 10.1016/j.cirp.2017.04.046 |
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| References | Fitzgibbon, Pilu, Fisher (b8) 1999; 21 Brandão, Seabra, Castro (b16) 2016; 91 Auerswald, von Freyberg, Fischer (b13) 2019; 100 Härtig, Stein (b7) 2019; 134 Peters J, Goch G, Günther A. Helical gear measurement using structured light. In: Proceedings of the XVI IMEKO world congress. Wien; 2000. p. 227–30. Liu Y, Dong X. Constrained least squares fitting of ellipse. In: 2010 international conference on computational intelligence and software engineering; 2010. p. 1–3. ISO. Cylindrical gears—ISO 1328:2013 system of flank tolerance classification—Part 1: Definitions and allowable of value of deviations relevant to flanks of gear teeth. Central Secretariat Geneva. Wang, Peng, Wiemann, Balzer, Stein, Steffens (b11) 2019; 68 Goch, Ni, Peng, Guenther (b2) 2017; 66 . Wang, Shi (b1) 2017; 47 Kumar, Jain, Pathak (b6) 2014; 69 Chernoff, Savage (b15) 1958; 29 Ni (b12) 2017 Leopold, Günther (b4) 2002 VDI/VDE. VDI/VDE 2612 BLATT 1:2018 Measurement and testing of gears - Evaluation of profile and helix measurements on cylindrical gears with involute profile. I have add this information into my manuscript and as a reference. Verlag des Vereins Deutscher Ingenieure. Chen, Chen (b5) 2019; 19 Kumar (10.1016/j.precisioneng.2019.10.013_b6) 2014; 69 Goch (10.1016/j.precisioneng.2019.10.013_b2) 2017; 66 10.1016/j.precisioneng.2019.10.013_b10 Ni (10.1016/j.precisioneng.2019.10.013_b12) 2017 Chen (10.1016/j.precisioneng.2019.10.013_b5) 2019; 19 Brandão (10.1016/j.precisioneng.2019.10.013_b16) 2016; 91 Fitzgibbon (10.1016/j.precisioneng.2019.10.013_b8) 1999; 21 Wang (10.1016/j.precisioneng.2019.10.013_b11) 2019; 68 10.1016/j.precisioneng.2019.10.013_b3 Auerswald (10.1016/j.precisioneng.2019.10.013_b13) 2019; 100 Wang (10.1016/j.precisioneng.2019.10.013_b1) 2017; 47 10.1016/j.precisioneng.2019.10.013_b9 Chernoff (10.1016/j.precisioneng.2019.10.013_b15) 1958; 29 Leopold (10.1016/j.precisioneng.2019.10.013_b4) 2002 Härtig (10.1016/j.precisioneng.2019.10.013_b7) 2019; 134 10.1016/j.precisioneng.2019.10.013_b14 |
| References_xml | – start-page: 185 year: 2002 end-page: 194 ident: b4 article-title: Fast 3D measurement of gear wheels publication-title: Seventh international symposium on laser metrology applied to science, industry, and everyday life, vol. 4900 – volume: 69 start-page: 544 year: 2014 end-page: 549 ident: b6 article-title: Curve reconstruction of digitized surface using k-means algorithm publication-title: Procedia Eng – volume: 100 start-page: 2423 year: 2019 end-page: 2433 ident: b13 article-title: Laser line triangulation for fast 3D measurements on large gears publication-title: Int J Adv Manuf Technol – volume: 29 start-page: 972 year: 1958 end-page: 994 ident: b15 article-title: Asymptotic normality and efficiency of certain nonparametric test statistics publication-title: Ann Math Stat – volume: 134 start-page: 569 year: 2019 end-page: 573 ident: b7 article-title: 3D involute gear evaluation – Part I: Workpiece coordinates publication-title: Measurement – volume: 68 start-page: 511 year: 2019 end-page: 514 ident: b11 article-title: Improved gear metrology based on the calibration and compensation of rotary table error motions publication-title: CIRP Annals – year: 2017 ident: b12 article-title: Areal gear metrology with modified flanks – reference: . – volume: 91 start-page: 479 year: 2016 end-page: 487 ident: b16 article-title: Surface fitting of an involute spur gear tooth flank roughness measurement to its nominal shape publication-title: Measurement – reference: VDI/VDE. VDI/VDE 2612 BLATT 1:2018 Measurement and testing of gears - Evaluation of profile and helix measurements on cylindrical gears with involute profile. I have add this information into my manuscript and as a reference. Verlag des Vereins Deutscher Ingenieure. – volume: 21 start-page: 476 year: 1999 end-page: 480 ident: b8 article-title: Direct least square fitting of ellipses publication-title: IEEE Trans Pattern Anal Mach Intell – reference: Peters J, Goch G, Günther A. Helical gear measurement using structured light. In: Proceedings of the XVI IMEKO world congress. Wien; 2000. p. 227–30. – reference: Liu Y, Dong X. Constrained least squares fitting of ellipse. In: 2010 international conference on computational intelligence and software engineering; 2010. p. 1–3. – volume: 47 start-page: 46 year: 2017 end-page: 59 ident: b1 article-title: Evaluation system of gear accuracy based on full information publication-title: Sci Sin Technol – reference: ISO. Cylindrical gears—ISO 1328:2013 system of flank tolerance classification—Part 1: Definitions and allowable of value of deviations relevant to flanks of gear teeth. Central Secretariat Geneva. – volume: 66 start-page: 469 year: 2017 end-page: 474 ident: b2 article-title: Future gear metrology based on areal measurements and improved holistic evaluations publication-title: CIRP Annals – volume: 19 start-page: 1450 year: 2019 ident: b5 article-title: Optical inspection system for gear tooth surfaces using a projection Moiré method publication-title: Sensors – volume: 68 start-page: 511 issue: 1 year: 2019 ident: 10.1016/j.precisioneng.2019.10.013_b11 article-title: Improved gear metrology based on the calibration and compensation of rotary table error motions publication-title: CIRP Annals doi: 10.1016/j.cirp.2019.04.078 – volume: 47 start-page: 46 issue: 1 year: 2017 ident: 10.1016/j.precisioneng.2019.10.013_b1 article-title: Evaluation system of gear accuracy based on full information publication-title: Sci Sin Technol doi: 10.1360/N092016-00072 – volume: 100 start-page: 2423 issue: 9 year: 2019 ident: 10.1016/j.precisioneng.2019.10.013_b13 article-title: Laser line triangulation for fast 3D measurements on large gears publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-018-2636-z – start-page: 185 year: 2002 ident: 10.1016/j.precisioneng.2019.10.013_b4 article-title: Fast 3D measurement of gear wheels – volume: 91 start-page: 479 year: 2016 ident: 10.1016/j.precisioneng.2019.10.013_b16 article-title: Surface fitting of an involute spur gear tooth flank roughness measurement to its nominal shape publication-title: Measurement doi: 10.1016/j.measurement.2016.05.076 – ident: 10.1016/j.precisioneng.2019.10.013_b14 – volume: 134 start-page: 569 year: 2019 ident: 10.1016/j.precisioneng.2019.10.013_b7 article-title: 3D involute gear evaluation – Part I: Workpiece coordinates publication-title: Measurement doi: 10.1016/j.measurement.2018.10.088 – volume: 69 start-page: 544 year: 2014 ident: 10.1016/j.precisioneng.2019.10.013_b6 article-title: Curve reconstruction of digitized surface using k-means algorithm publication-title: Procedia Eng doi: 10.1016/j.proeng.2014.03.024 – ident: 10.1016/j.precisioneng.2019.10.013_b9 doi: 10.1109/CISE.2010.5676736 – ident: 10.1016/j.precisioneng.2019.10.013_b10 – year: 2017 ident: 10.1016/j.precisioneng.2019.10.013_b12 – volume: 21 start-page: 476 issue: 5 year: 1999 ident: 10.1016/j.precisioneng.2019.10.013_b8 article-title: Direct least square fitting of ellipses publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/34.765658 – ident: 10.1016/j.precisioneng.2019.10.013_b3 – volume: 29 start-page: 972 issue: 4 year: 1958 ident: 10.1016/j.precisioneng.2019.10.013_b15 article-title: Asymptotic normality and efficiency of certain nonparametric test statistics publication-title: Ann Math Stat doi: 10.1214/aoms/1177706436 – volume: 19 start-page: 1450 issue: 6 year: 2019 ident: 10.1016/j.precisioneng.2019.10.013_b5 article-title: Optical inspection system for gear tooth surfaces using a projection Moiré method publication-title: Sensors doi: 10.3390/s19061450 – volume: 66 start-page: 469 issue: 1 year: 2017 ident: 10.1016/j.precisioneng.2019.10.013_b2 article-title: Future gear metrology based on areal measurements and improved holistic evaluations publication-title: CIRP Annals doi: 10.1016/j.cirp.2017.04.046 |
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| SubjectTerms | 3D point cloud Gear measurement Involute error Line structured light sensor |
| Title | 3D measurement of gears based on a line structured light sensor |
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