Detecting chatter and estimating wear from the torque of end milling signals by using Index Based Reasoner (IBR)
Index Based Reasoning (IBR) is proposed for chatter detection and tool wear estimation by using the torque signal data of rotary dynamometers during the end milling operation. The IBR is a simple reasoner which classifies the incoming signals with the help of lookup table after the most descriptive...
Saved in:
| Published in | International journal of advanced manufacturing technology Vol. 58; no. 1-4; pp. 109 - 118 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Springer-Verlag
2012
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Index Based Reasoning (IBR) is proposed for chatter detection and tool wear estimation by using the torque signal data of rotary dynamometers during the end milling operation. The IBR is a simple reasoner which classifies the incoming signals with the help of lookup table after the most descriptive features are identified with pre-processing. Easy implementation, selection of programming or self-learning modes depending on the characteristics of the application, and capability of distributing the smart nodes to physically separated locations make the IBR a good candidate for diagnostic of manufacturing processes either at the tool, machine, and work cell level. For chatter detection, programming mode was used for preparation of the lookup table. For wear estimation, lookup table was automatically generated from very limited training cases (only three) by detecting the trend. The IBR performed well on the experimentally collected data. |
|---|---|
| AbstractList | Index Based Reasoning (IBR) is proposed for chatter detection and tool wear estimation by using the torque signal data of rotary dynamometers during the end milling operation. The IBR is a simple reasoner which classifies the incoming signals with the help of lookup table after the most descriptive features are identified with pre-processing. Easy implementation, selection of programming or self-learning modes depending on the characteristics of the application, and capability of distributing the smart nodes to physically separated locations make the IBR a good candidate for diagnostic of manufacturing processes either at the tool, machine, and work cell level. For chatter detection, programming mode was used for preparation of the lookup table. For wear estimation, lookup table was automatically generated from very limited training cases (only three) by detecting the trend. The IBR performed well on the experimentally collected data. |
| Author | Tansel, I. N. Bickraj, K. Kaya, B. Li, M. Ozcelik, B. Demetgul, M. |
| Author_xml | – sequence: 1 givenname: I. N. surname: Tansel fullname: Tansel, I. N. organization: Department of Mechanical and Materials Engineering, Florida International University – sequence: 2 givenname: M. surname: Li fullname: Li, M. organization: Department of Mechanical and Materials Engineering, Florida International University – sequence: 3 givenname: M. surname: Demetgul fullname: Demetgul, M. email: mdemetgul@marmara.edu.tr organization: Mechanical Department, Technical Education Faculty, Marmara University – sequence: 4 givenname: K. surname: Bickraj fullname: Bickraj, K. organization: Department of Mechanical and Materials Engineering, Florida International University – sequence: 5 givenname: B. surname: Kaya fullname: Kaya, B. organization: Department of Design and Manufacturing Engineering, Gebze Institute of Technology – sequence: 6 givenname: B. surname: Ozcelik fullname: Ozcelik, B. organization: Department of Design and Manufacturing Engineering, Gebze Institute of Technology |
| BookMark | eNp1kEtLAzEUhYNUsK3-AHcBN7qI5jF5zNLWV6EgFF2Hmcyddko7U5MU7b83YwVXru7l8p3DuWeEBm3XAkKXjN4ySvVdoJRpSiijhBthiDxBQ5YJQQRlcoCGlCtDhFbmDI1CWCdaMWWGaPcAEVxs2iV2qyJG8LhoKwwhNtvi5_wJhce177Y4rgDHzn_sAXc1hoRtm82mZ0KzbItNwOUB70N_mLUVfOFJEaDCCyhCCuvx9WyyuDlHp3VC4eJ3jtH70-Pb9IXMX59n0_s5cYKpSMBVTJpacQDHcyldmRtHWSkVr3JR5bmimczKXGitZUZN2jXNOM2Y1KCrWozR1dF357uUOES77va-T2k5VzxxJleJYkfK-S4ED7Xd-fS4P1hGbV-sPRZrU7G2L9bKpOFHTUhsuwT_5_y_6Bth4nuS |
| CitedBy_id | crossref_primary_10_1007_s00170_019_04379_6 crossref_primary_10_1155_2015_985837 crossref_primary_10_1007_s00500_023_07944_0 crossref_primary_10_1007_s42417_019_00172_7 crossref_primary_10_1016_j_ymssp_2017_11_046 crossref_primary_10_3390_mi15010054 crossref_primary_10_1007_s00170_012_4265_2 crossref_primary_10_1007_s00170_016_9862_z crossref_primary_10_1016_j_ymssp_2020_106840 crossref_primary_10_1007_s00170_020_05654_7 crossref_primary_10_1016_j_ymssp_2021_108622 crossref_primary_10_1016_j_jsv_2018_07_019 crossref_primary_10_1520_SSMS20210007 crossref_primary_10_1007_s00170_024_13203_9 crossref_primary_10_1007_s00170_023_10891_7 crossref_primary_10_1007_s00170_020_05611_4 crossref_primary_10_1007_s00170_022_10059_9 crossref_primary_10_1007_s12008_023_01716_8 crossref_primary_10_1016_j_ymssp_2022_109617 crossref_primary_10_1155_2020_7943807 crossref_primary_10_1007_s00170_017_1366_y crossref_primary_10_1177_09544089231159465 crossref_primary_10_1016_j_ijmachtools_2011_06_002 crossref_primary_10_1115_1_4023716 crossref_primary_10_3390_jmmp6050125 crossref_primary_10_1007_s00170_017_0183_7 crossref_primary_10_1016_j_measurement_2023_112558 crossref_primary_10_1007_s00170_023_10969_2 crossref_primary_10_1016_j_ymssp_2019_01_002 crossref_primary_10_1016_j_ymssp_2022_109225 crossref_primary_10_1007_s00170_019_04035_z crossref_primary_10_1115_1_4048001 crossref_primary_10_1007_s00170_015_7687_9 crossref_primary_10_1007_s00170_019_04526_z crossref_primary_10_1016_j_jmapro_2013_02_002 crossref_primary_10_1016_j_jmapro_2022_03_018 crossref_primary_10_1109_JSEN_2023_3322408 crossref_primary_10_4028_www_scientific_net_AMM_121_126_377 crossref_primary_10_1007_s00170_013_4892_2 crossref_primary_10_1007_s00170_017_0476_x crossref_primary_10_1016_j_ijmachtools_2012_08_001 crossref_primary_10_3390_jmmp5040103 |
| Cites_doi | 10.1109/IJCNN.1992.226980 10.1109/5326.885116 10.1115/1.2803289 10.1016/S0890-6955(99)00093-0 10.1007/BF01471175 10.1016/0890-6955(95)00067-4 10.1016/0888-613X(91)90008-A 10.1109/IJCNN.1992.287123 10.1109/78.492555 10.1016/S0007-8506(07)61012-9 10.1115/1.1531113 10.1016/j.asoc.2006.06.001 10.1080/00207540050117404 10.1016/S0890-6955(99)00007-3 10.1109/IJCNN.1998.682241 10.1109/FUZZY.1992.258711 10.1016/0278-6125(95)98889-E 10.1007/0-306-47000-4_150 10.1016/S0890-6955(97)00069-2 10.1243/0954405971515537 10.1016/S0007-8506(07)62368-3 10.1016/0888-3270(88)90024-6 10.1109/72.298229 10.1006/mssp.1998.0174 10.1016/S0890-6955(99)00018-8 10.1115/1.3269061 10.1115/1.3187076 10.1115/1.2831174 10.1016/S0007-8506(07)62553-0 10.1016/S0952-1976(00)00008-7 10.1299/jsmec.49.742 10.1016/j.ijmachtools.2007.04.001 10.1109/12.106218 10.1016/S1474-6670(17)62005-6 10.1016/S0893-6080(98)00137-3 10.1109/21.52552 10.1016/S0957-4158(00)00044-1 10.1016/j.ymssp.2005.11.007 10.1109/RAST.2007.4283974 10.1023/A:1018585527465 10.1007/s00170-003-1898-1 10.1016/S0890-6955(96)00030-2 10.1016/j.ymssp.2005.04.004 10.1115/1.2901934 10.1016/S0890-6955(02)00036-6 |
| ContentType | Journal Article |
| Copyright | Springer-Verlag London Limited 2010 The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2010). All Rights Reserved. |
| Copyright_xml | – notice: Springer-Verlag London Limited 2010 – notice: The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2010). All Rights Reserved. |
| DBID | AAYXX CITATION 8FE 8FG ABJCF AFKRA BENPR BGLVJ CCPQU DWQXO HCIFZ L6V M7S PQEST PQQKQ PQUKI PRINS PTHSS |
| DOI | 10.1007/s00170-010-2838-5 |
| DatabaseName | CrossRef ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central AUTh Library subscriptions: ProQuest Central Technology Collection ProQuest One Community College ProQuest Central SciTech Premium Collection (Proquest) (PQ_SDU_P3) ProQuest Engineering Collection ProQuest Engineering Database ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection |
| DatabaseTitle | CrossRef Engineering Database Technology Collection ProQuest One Academic Eastern Edition SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central ProQuest Engineering Collection ProQuest One Academic UKI Edition ProQuest Central Korea Materials Science & Engineering Collection ProQuest One Academic Engineering Collection |
| DatabaseTitleList | Engineering Database |
| Database_xml | – sequence: 1 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1433-3015 |
| EndPage | 118 |
| ExternalDocumentID | 10_1007_s00170_010_2838_5 |
| GroupedDBID | -5B -5G -BR -EM -XW -XX -Y2 -~C .86 .VR 06D 0R~ 0VY 123 1N0 1SB 203 28- 29J 29~ 2J2 2JN 2JY 2KG 2KM 2LR 2P1 2VQ 2~H 30V 4.4 406 408 409 40D 40E 5GY 5QI 5VS 67Z 6NX 8FE 8FG 8TC 8UJ 95- 95. 95~ 96X 9M8 AAAVM AABHQ AABYN AAFGU AAHNG AAIAL AAJKR AANZL AARHV AARTL AATNV AATVU AAUYE AAWCG AAYFA AAYIU AAYQN AAYTO ABBBX ABBXA ABDBF ABDEX ABDZT ABECU ABFGW ABFTD ABFTV ABHQN ABJCF ABJNI ABJOX ABKAG ABKAS ABKCH ABKTR ABMNI ABMQK ABNWP ABPTK ABQBU ABSXP ABTAH ABTEG ABTHY ABTKH ABTMW ABULA ABWNU ABXPI ACBMV ACBRV ACBXY ACBYP ACGFS ACHSB ACHXU ACIGE ACIPQ ACIWK ACKNC ACMDZ ACMLO ACOKC ACOMO ACTTH ACVWB ACWMK ADHHG ADHIR ADINQ ADKNI ADKPE ADMDM ADMVV ADOXG ADQRH ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEEQQ AEFIE AEFTE AEGAL AEGNC AEJHL AEJRE AEKMD AEKVL AENEX AEOHA AEPYU AESKC AESTI AETLH AEVLU AEVTX AEXYK AFEXP AFGCZ AFKRA AFLOW AFNRJ AFQWF AFWTZ AFZKB AGAYW AGDGC AGGBP AGGDS AGJBK AGMZJ AGQMX AGWIL AGWZB AGYKE AHAVH AHBYD AHSBF AHYZX AIAKS AIIXL AILAN AIMYW AITGF AJBLW AJDOV AJRNO AJZVZ AKQUC ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARCEE ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN B-. B0M BA0 BBWZM BDATZ BENPR BGLVJ BGNMA CAG CCPQU COF CS3 CSCUP DDRTE DL5 DNIVK DPUIP DU5 EAD EAP EAS EBLON EBS EIOEI EJD EMK EPL ESBYG ESX FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 GQ8 GXS HCIFZ HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ I-F I09 IHE IJ- IKXTQ ITM IWAJR IXC IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ KDC KOV KOW L6V LAS LLZTM M4Y M7S MA- ML~ N2Q N9A NB0 NDZJH NPVJJ NQJWS NU0 O9- O93 O9G O9I O9J OAM P19 P9P PF0 PT4 PT5 PTHSS QOK QOS R4E R89 R9I RHV RIG RNI RNS ROL RPX RSV RZK S16 S1Z S26 S27 S28 S3B SAP SCLPG SCV SDH SDM SEG SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 T16 TN5 TSG TSK TSV TUC TUS U2A UG4 UNUBA UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WK8 YLTOR Z45 Z5O Z7R Z7S Z7V Z7W Z7X Z7Y Z7Z Z81 Z83 Z85 Z86 Z88 Z8M Z8N Z8P Z8Q Z8R Z8S Z8T Z8U Z8V Z8W Z8Z Z92 ZMTXR ZY4 _50 ~8M ~A9 ~EX AACDK AAEOY AAJBT AASML AAYXX ABAKF ACAOD ACDTI ACZOJ AEFQL AEMSY AFBBN AGQEE AGRTI AIGIU CITATION H13 DWQXO PQEST PQQKQ PQUKI PRINS |
| ID | FETCH-LOGICAL-c316t-ecd158f62eec2955cb98c01b562d93d9960454b93777540854b704204157e7df3 |
| IEDL.DBID | BENPR |
| ISSN | 0268-3768 |
| IngestDate | Fri Sep 13 01:59:39 EDT 2024 Thu Sep 12 16:51:03 EDT 2024 Sat Dec 16 12:04:41 EST 2023 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1-4 |
| Keywords | Dynamometer design The torque-based machining monitor Index Based Reasoner (IBR) Milling Tool wear Chatter |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c316t-ecd158f62eec2955cb98c01b562d93d9960454b93777540854b704204157e7df3 |
| PQID | 2262415896 |
| PQPubID | 2044010 |
| PageCount | 10 |
| ParticipantIDs | proquest_journals_2262415896 crossref_primary_10_1007_s00170_010_2838_5 springer_journals_10_1007_s00170_010_2838_5 |
| PublicationCentury | 2000 |
| PublicationDate | 1-2012 2012-1-00 20120101 |
| PublicationDateYYYYMMDD | 2012-01-01 |
| PublicationDate_xml | – year: 2012 text: 1-2012 |
| PublicationDecade | 2010 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: Heidelberg |
| PublicationTitle | International journal of advanced manufacturing technology |
| PublicationTitleAbbrev | Int J Adv Manuf Technol |
| PublicationYear | 2012 |
| Publisher | Springer-Verlag Springer Nature B.V |
| Publisher_xml | – name: Springer-Verlag – name: Springer Nature B.V |
| References | RaoBCShinYCA comprehensive dynamic cutting force model for chatter prediction in turningInt J Mach Tools Manuf199939101631165410.1016/S0890-6955(99)00007-3 HongGSRahmanMZhouQUsing neural network for tool condition monitoring based on wavelet decompositionInt J Mach Tools Manuf199636555155610.1016/0890-6955(95)00067-4 ChiouRYRichardYStevenYAnalysis of acoustic emission in chatter vibration with tool wear effect in turningInt J Mach Tools Manuf200040792794110.1016/S0890-6955(99)00093-0 BurkeLIRangwalaSTool condition monitoring in metal cutting: a neural network approachJ Intell Manuf1991226928010.1007/BF01471175 Tsai SY, Eman KF, Wu SM (1983) Chatter suppression in turning. In: Proceedings of NAMR Conference, pp 399–402 KaraliPSurjyaKBhattacharyyaKArtificial neural network based prediction of drill flank wear from motor current signalsAppl Soft Comput20077392993510.1016/j.asoc.2006.06.001 KuoRJCohenPHMulti-sensor integration for on-line tool wear estimation through radial basis function networks and fuzzy neural networkNeural Netw199912335537010.1016/S0893-6080(98)00137-3 GhasempoorAMooreTNJeswietJOn-line wear estimation using neural networksProc Inst Mech Eng B1998212210511210.1243/0954405971515537 XiaoliLYingxueYZhejunYTool wear detection with fuzzy classification and wavelet fuzzy neural networkInt J Mach Tools Manuf1999391525153810.1016/S0890-6955(97)00066-7 CookNHSubramanianKBasileSASurvey of the state of the art tool wear sensing techniques material processing lab1975Cambridge MADept of M.E., MIT XiaoliLYingxueYZhejunYOn-line tool condition monitoring system with wavelet fuzzy neural networkJ Intell Manuf19978427127610.1023/A:1018585527465 Matsumura T, Murayama T, Usui E (2001) Tool wear monitoring in milling process with laser scan micrometer. In: 10th international conference on precision engineering (ICPE), Yokohama, Japan LeemCSDornfeldDADreyfusSEA customized neural network for sensor fusion in on-line monitoring of cutting tool wear J Eng Ind, Trans ASME199511715215910.1115/1.2803289 ClancyBEShin YCAComprehensive chatter prediction model for face turning operation including the tool wear effectInt J Mach Tools Manuf20024291035104410.1016/S0890-6955(02)00036-6 CastañedaECOn-line wear detection of milling tools using a displacement fiber optic sensorJ Appl Res Technol200312164174 Elanayar S, Shin YC (1992) Robust tool wear estimation via radial basis function neural networks. In: Neural networks in manufacturing and robotics. New York: ASME, PED-57, pp 37–51 GradisekJGovekarEBrabecITime series analysis in metal cutting: chatter versus chatter-free cuttingMech Syst Signal Process199812683985410.1006/mssp.1998.0174 TaejunCOn-line chatter detection using wavelet-based parameter estimationJ Manuf Sci Eng20031251212810.1115/1.1531113 Tansel IN, Clarke B (1988) Use of a fast sequential algorithm for identification of end milling operations. In: Proc. of 3rd international conference on computer-aided production, 518–525 TlustyJIsmailFSpecial aspects of chatter in millingASME J Vib Acoustics, Stress and Reliability1983105243210.1115/1.3269061 DevillezADudzinskiDTool vibration detection with eddy current sensors in machining process and computation of stability lobes using fuzzy classifiersMech Syst Sig Process200721144145610.1016/j.ymssp.2005.11.007 Wang L, Mendel J (1992) Back-propagation fuzzy system as nonlinear dynamic system identifiers. In: IEEE international conference on fuzzy systems 1992, San Diego, CA, pp 1409–1418 ChenSGUlsoyAGKorenYComputational stability analysis of chatter in turningJ Manuf Sci Eng199611945746010.1115/1.2831174 KasashimaNOn-line failure detection in face milling using discrete wavelet transformAnn CIRP199544148348710.1016/S0007-8506(07)62368-3 ChoiYNarayanaswamiRChandraATool wear monitoring in ramp cuts in end milling using the wavelet transformInt J Adv Manuf Technol2004234419422810.1007/s00170-003-1898-1 Sick B (1998) On-line tool wear classification in turning with time-delay neural networks and process-specific pre-processing. In: International Joint Conference on Neural Networks (IJCNN’98), Anchorage, AK, 84–89 ElanayarSVTShinYCRadial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systemsIEEE Trans Neural Netw1994559460310.1109/72.298229 Kamarthi SV (1994) On-line tool wear estimation in turning through sensor data fusion and neural networks. Dissertation, Pennsylvania State University Tansel IN, Li M, Yapici A, Yenilmez A (2007) Integrated systems health monitoring for autonomous space access vehicles and satellites. In: 3rd international conference on recent advances in space technologies (RAST) 2007, Istanbul, Turkey, pp 187–192 KuoRJMulti -sensor integration for on-line tool wear estimation through artificial neural networks and fuzzy neural networkEng Appl Artif Intell200013324926110.1016/S0952-1976(00)00008-7 Takagi T, Sugeno M (1983) Derivation of fuzzy control rules from human operator's control actions. In: Proceedings of the IFAC symposium on fuzzy information, knowledge representation and decision analysis, pp 55–60 KoTChoDTool wear monitoring in diamond turning by fuzzy pattern recognitionASME J Eng Ind199411622523210.1115/1.2901934 DornfeldDANeural network sensor fusion for tool condition monitoringAnn CIRP1990391101105110.1016/S0007-8506(07)61012-9 StockwellRGMansinhaLLoweRPLocalization of the complex spectrum: the S transformIEEE Trans Signal Process1996444998100110.1109/78.492555 DimlaDEListerPMLeightonNJAutomatic tool state identification in a metal turning operation using MLP neural networks and multivariate process parametersInt J Mach Tools Manuf199838434335210.1016/S0890-6955(97)00069-2 WuSMStephensonDAAcademic excellence in manufacturing engineeringRob Comput Integr Manuf198413–441742110.1016/0736-5845(84)90031-0 LeeCFuzzy logic in control systems: fuzzy logic controller—part IIIEEE Trans Syst Man Cybern199020241943510.1109/21.525520707.93037 Liang M, Xu D (2006) A fuzzy self-learning approach to chatter control in milling. In: Proceeding of eighth IASTED international conference control and applications 2006, Montreal, QC, Canada FuLLingSTsengCOn-line breakage monitoring of small drills with input impedance of driving motorMech Syst Sig Process200721145746510.1016/j.ymssp.2005.04.004 LinCLeeCNeural-network-based fuzzy logic control and decision systemIEEE Trans Comput199140121320133610.1109/12.1062181143889 DuttaRKPaulSChattopadhyayABFuzzy controlled back propagation neural network for tool condition monitoring in face millingInt J Prod Res200038132989301010.1080/00207540050117404 Fukuda T, Shibata T (1992) Hierarchical intelligent control for robotic motion by using fuzzy, artificial intelligence, and neural network. In: Proceedings of IJCNN'92, Baltimore, MD, pp 269–274. HinoJOkuboSYoshimuraTChatter prediction in end milling by FNN model with pruningJSME Int J Ser C200649374274910.1299/jsmec.49.742 SouquetPGsibNDeschampsMRogetJTanguyJCTool monitoring with acoustic emission-industrial results and future prospectsAnn CIRP1987361576010.1016/S0007-8506(07)62553-0 Tansel IN, Li M, Yapici A (2007) Evaluation of performance of the index based reasoning (IBR) at a simulated UAV. In: The 6th international workshop structural health monitoring 2007, Stanford University, Stanford, pp 264–268 Shibata T, Fukuda T, Kosuge T, Arai F (1992) Skill-based control by using fuzzy neural network for hierarchical intelligent control. In: Proceedings of IJCNN'92, Baltimore, MD, pp 81–86 SataTInamuraTDevelopment of method to predict and prevent chattering in metal cuttingAnn CIRP197524309314 XiaoliLShiuTWangJReal-time tool condition monitoring using wavelet transforms and fuzzy techniquesIEEE Trans Syst Man Cybern, Part C Appl Rev200030335234710.1109/5326.885116 KoTChoDOn-line monitoring of tool breakage in face milling using a self-organized neural networkJ Manuf Syst1995142809010.1016/0278-6125(95)98889-E ChoDWEmanKFPattern recognition for on-line chatter detectionMech Syst Signal Process19882327929010.1016/0888-3270(88)90024-6 IsmailFBastamiAImproving stability of slender end mills against chatterTrans ASME J Eng Ind198610826426810.1115/1.3187076 WangMFeiROn-line chatter detection and control in boring based on an electrorheological fluidMechatronics200111777979210.1016/S0957-4158(00)00044-1 CastejónaMAlegreaEBarreiroaJHernándezLKOn-line tool wear monitoring using geometric descriptors from digital imagesInt J Mach Tools Manuf20074712–131847185310.1016/j.ijmachtools.2007.04.001 LiQWongYNeeATool wear and chatter detection using the coherence function of two crossed accelerationsInt J Mach Tools Manuf199737442543510.1016/S0890-6955(96)00030-2 TakagiTHayashiINN-driven fuzzy reasoningInt J Approximate Reasoning1991519121210.1016/0888-613X(91)90008-A0733.68074 P Souquet (2838_CR48) 1987; 36 2838_CR13 RY Chiou (2838_CR33) 2000; 40 2838_CR10 2838_CR52 J Hino (2838_CR20) 2006; 49 T Ko (2838_CR39) 1995; 14 BC Rao (2838_CR34) 1999; 39 LI Burke (2838_CR2) 1991; 2 2838_CR16 Q Li (2838_CR21) 1997; 37 RG Stockwell (2838_CR56) 1996; 44 C Lee (2838_CR12) 1990; 20 DE Dimla (2838_CR3) 1998; 38 DW Cho (2838_CR17) 1988; 2 RK Dutta (2838_CR24) 2000; 38 T Ko (2838_CR11) 1994; 116 SG Chen (2838_CR36) 1996; 119 BE Clancy (2838_CR32) 2002; 42 C Taejun (2838_CR19) 2003; 125 Y Choi (2838_CR43) 2004; 23 2838_CR1 2838_CR7 2838_CR8 2838_CR51 C Lin (2838_CR23) 1991; 40 F Ismail (2838_CR54) 1986; 108 M Wang (2838_CR15) 2001; 11 A Devillez (2838_CR14) 2007; 21 2838_CR37 M Castejóna (2838_CR49) 2007; 47 J Tlusty (2838_CR53) 1983; 105 NH Cook (2838_CR55) 1975 2838_CR31 L Fu (2838_CR40) 2007; 21 RJ Kuo (2838_CR42) 2000; 13 J Gradisek (2838_CR35) 1998; 12 GS Hong (2838_CR9) 1996; 36 L Xiaoli (2838_CR44) 1997; 8 L Xiaoli (2838_CR47) 2000; 30 SM Wu (2838_CR18) 1984; 1 2838_CR25 DA Dornfeld (2838_CR38) 1990; 39 SVT Elanayar (2838_CR6) 1994; 5 RJ Kuo (2838_CR22) 1999; 12 CS Leem (2838_CR4) 1995; 117 P Karali (2838_CR41) 2007; 7 N Kasashima (2838_CR46) 1995; 44 2838_CR29 2838_CR28 2838_CR27 T Sata (2838_CR30) 1975; 24 A Ghasempoor (2838_CR5) 1998; 212 L Xiaoli (2838_CR45) 1999; 39 T Takagi (2838_CR26) 1991; 5 EC Castañeda (2838_CR50) 2003; 1 |
| References_xml | – ident: 2838_CR25 doi: 10.1109/IJCNN.1992.226980 – volume: 30 start-page: 352 issue: 3 year: 2000 ident: 2838_CR47 publication-title: IEEE Trans Syst Man Cybern, Part C Appl Rev doi: 10.1109/5326.885116 contributor: fullname: L Xiaoli – volume: 117 start-page: 152 year: 1995 ident: 2838_CR4 publication-title: J Eng Ind, Trans ASME doi: 10.1115/1.2803289 contributor: fullname: CS Leem – volume: 40 start-page: 927 issue: 7 year: 2000 ident: 2838_CR33 publication-title: Int J Mach Tools Manuf doi: 10.1016/S0890-6955(99)00093-0 contributor: fullname: RY Chiou – ident: 2838_CR52 – volume: 2 start-page: 269 year: 1991 ident: 2838_CR2 publication-title: J Intell Manuf doi: 10.1007/BF01471175 contributor: fullname: LI Burke – volume: 36 start-page: 551 issue: 5 year: 1996 ident: 2838_CR9 publication-title: Int J Mach Tools Manuf doi: 10.1016/0890-6955(95)00067-4 contributor: fullname: GS Hong – volume: 5 start-page: 191 year: 1991 ident: 2838_CR26 publication-title: Int J Approximate Reasoning doi: 10.1016/0888-613X(91)90008-A contributor: fullname: T Takagi – ident: 2838_CR37 – ident: 2838_CR10 doi: 10.1109/IJCNN.1992.287123 – volume: 44 start-page: 998 issue: 4 year: 1996 ident: 2838_CR56 publication-title: IEEE Trans Signal Process doi: 10.1109/78.492555 contributor: fullname: RG Stockwell – volume: 39 start-page: 101 issue: 1 year: 1990 ident: 2838_CR38 publication-title: Ann CIRP doi: 10.1016/S0007-8506(07)61012-9 contributor: fullname: DA Dornfeld – ident: 2838_CR1 – volume: 125 start-page: 21 issue: 1 year: 2003 ident: 2838_CR19 publication-title: J Manuf Sci Eng doi: 10.1115/1.1531113 contributor: fullname: C Taejun – volume: 7 start-page: 929 issue: 3 year: 2007 ident: 2838_CR41 publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2006.06.001 contributor: fullname: P Karali – volume: 38 start-page: 2989 issue: 13 year: 2000 ident: 2838_CR24 publication-title: Int J Prod Res doi: 10.1080/00207540050117404 contributor: fullname: RK Dutta – volume: 39 start-page: 1631 issue: 10 year: 1999 ident: 2838_CR34 publication-title: Int J Mach Tools Manuf doi: 10.1016/S0890-6955(99)00007-3 contributor: fullname: BC Rao – volume: 1 start-page: 164 issue: 2 year: 2003 ident: 2838_CR50 publication-title: J Appl Res Technol contributor: fullname: EC Castañeda – ident: 2838_CR7 doi: 10.1109/IJCNN.1998.682241 – ident: 2838_CR27 doi: 10.1109/FUZZY.1992.258711 – volume: 14 start-page: 80 issue: 2 year: 1995 ident: 2838_CR39 publication-title: J Manuf Syst doi: 10.1016/0278-6125(95)98889-E contributor: fullname: T Ko – ident: 2838_CR51 doi: 10.1007/0-306-47000-4_150 – volume-title: Survey of the state of the art tool wear sensing techniques material processing lab year: 1975 ident: 2838_CR55 contributor: fullname: NH Cook – volume: 38 start-page: 343 issue: 4 year: 1998 ident: 2838_CR3 publication-title: Int J Mach Tools Manuf doi: 10.1016/S0890-6955(97)00069-2 contributor: fullname: DE Dimla – ident: 2838_CR8 – volume: 24 start-page: 309 year: 1975 ident: 2838_CR30 publication-title: Ann CIRP contributor: fullname: T Sata – ident: 2838_CR28 – volume: 212 start-page: 105 issue: 2 year: 1998 ident: 2838_CR5 publication-title: Proc Inst Mech Eng B doi: 10.1243/0954405971515537 contributor: fullname: A Ghasempoor – volume: 44 start-page: 483 issue: 1 year: 1995 ident: 2838_CR46 publication-title: Ann CIRP doi: 10.1016/S0007-8506(07)62368-3 contributor: fullname: N Kasashima – volume: 2 start-page: 279 issue: 3 year: 1988 ident: 2838_CR17 publication-title: Mech Syst Signal Process doi: 10.1016/0888-3270(88)90024-6 contributor: fullname: DW Cho – volume: 5 start-page: 594 year: 1994 ident: 2838_CR6 publication-title: IEEE Trans Neural Netw doi: 10.1109/72.298229 contributor: fullname: SVT Elanayar – volume: 12 start-page: 839 issue: 6 year: 1998 ident: 2838_CR35 publication-title: Mech Syst Signal Process doi: 10.1006/mssp.1998.0174 contributor: fullname: J Gradisek – volume: 39 start-page: 1525 year: 1999 ident: 2838_CR45 publication-title: Int J Mach Tools Manuf doi: 10.1016/S0890-6955(99)00018-8 contributor: fullname: L Xiaoli – volume: 105 start-page: 24 year: 1983 ident: 2838_CR53 publication-title: ASME J Vib Acoustics, Stress and Reliability doi: 10.1115/1.3269061 contributor: fullname: J Tlusty – volume: 108 start-page: 264 year: 1986 ident: 2838_CR54 publication-title: Trans ASME J Eng Ind doi: 10.1115/1.3187076 contributor: fullname: F Ismail – ident: 2838_CR31 – volume: 119 start-page: 457 year: 1996 ident: 2838_CR36 publication-title: J Manuf Sci Eng doi: 10.1115/1.2831174 contributor: fullname: SG Chen – volume: 36 start-page: 57 issue: 1 year: 1987 ident: 2838_CR48 publication-title: Ann CIRP doi: 10.1016/S0007-8506(07)62553-0 contributor: fullname: P Souquet – volume: 13 start-page: 249 issue: 3 year: 2000 ident: 2838_CR42 publication-title: Eng Appl Artif Intell doi: 10.1016/S0952-1976(00)00008-7 contributor: fullname: RJ Kuo – volume: 1 start-page: 417 issue: 3–4 year: 1984 ident: 2838_CR18 publication-title: Rob Comput Integr Manuf contributor: fullname: SM Wu – volume: 49 start-page: 742 issue: 3 year: 2006 ident: 2838_CR20 publication-title: JSME Int J Ser C doi: 10.1299/jsmec.49.742 contributor: fullname: J Hino – volume: 47 start-page: 1847 issue: 12–13 year: 2007 ident: 2838_CR49 publication-title: Int J Mach Tools Manuf doi: 10.1016/j.ijmachtools.2007.04.001 contributor: fullname: M Castejóna – volume: 40 start-page: 1320 issue: 12 year: 1991 ident: 2838_CR23 publication-title: IEEE Trans Comput doi: 10.1109/12.106218 contributor: fullname: C Lin – ident: 2838_CR13 doi: 10.1016/S1474-6670(17)62005-6 – volume: 12 start-page: 355 issue: 3 year: 1999 ident: 2838_CR22 publication-title: Neural Netw doi: 10.1016/S0893-6080(98)00137-3 contributor: fullname: RJ Kuo – volume: 20 start-page: 419 issue: 2 year: 1990 ident: 2838_CR12 publication-title: IEEE Trans Syst Man Cybern doi: 10.1109/21.52552 contributor: fullname: C Lee – volume: 11 start-page: 779 issue: 7 year: 2001 ident: 2838_CR15 publication-title: Mechatronics doi: 10.1016/S0957-4158(00)00044-1 contributor: fullname: M Wang – volume: 21 start-page: 441 issue: 1 year: 2007 ident: 2838_CR14 publication-title: Mech Syst Sig Process doi: 10.1016/j.ymssp.2005.11.007 contributor: fullname: A Devillez – ident: 2838_CR29 doi: 10.1109/RAST.2007.4283974 – ident: 2838_CR16 – volume: 8 start-page: 271 issue: 4 year: 1997 ident: 2838_CR44 publication-title: J Intell Manuf doi: 10.1023/A:1018585527465 contributor: fullname: L Xiaoli – volume: 23 start-page: 419 issue: 4 year: 2004 ident: 2838_CR43 publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-003-1898-1 contributor: fullname: Y Choi – volume: 37 start-page: 425 issue: 4 year: 1997 ident: 2838_CR21 publication-title: Int J Mach Tools Manuf doi: 10.1016/S0890-6955(96)00030-2 contributor: fullname: Q Li – volume: 21 start-page: 457 issue: 1 year: 2007 ident: 2838_CR40 publication-title: Mech Syst Sig Process doi: 10.1016/j.ymssp.2005.04.004 contributor: fullname: L Fu – volume: 116 start-page: 225 year: 1994 ident: 2838_CR11 publication-title: ASME J Eng Ind doi: 10.1115/1.2901934 contributor: fullname: T Ko – volume: 42 start-page: 1035 issue: 9 year: 2002 ident: 2838_CR32 publication-title: Int J Mach Tools Manuf doi: 10.1016/S0890-6955(02)00036-6 contributor: fullname: BE Clancy |
| SSID | ssj0016168 ssib034539549 ssib019759004 ssib029851711 |
| Score | 2.2489448 |
| Snippet | Index Based Reasoning (IBR) is proposed for chatter detection and tool wear estimation by using the torque signal data of rotary dynamometers during the end... |
| SourceID | proquest crossref springer |
| SourceType | Aggregation Database Publisher |
| StartPage | 109 |
| SubjectTerms | CAE) and Design Chatter Computer-Aided Engineering (CAD Diagnostic systems Dynamometers End milling Engineering Industrial and Production Engineering Lookup tables Mechanical Engineering Media Management Milling (machining) Original Article Signal classification Tool wear Torque Vibration |
| SummonAdditionalLinks | – databaseName: SpringerLINK - Czech Republic Consortium dbid: AGYKE link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3JTsMwEB1BucCBHVEoyAcOLEpFYjt2jmVfBAcEEpwi23FAqlQQLULw9cxkaVkP3KLEshV7xn7287wB2FDKZio0OvAe96pC6jgwxpuAS-6MiqSNEoodvriMT27E2a28HYNoeHTR67ZrRrKYqIexboXSS0DcLa6IOpDjMCEpK3UDJjrHd-eHtRWFiaJMmEMrixJKPz-yYi4kL7mtimuIwyJgDjcjmtxN19znb41-Xb1GkPQbi1osTkczZcBgv9A0pDsp3fbLwLbd-0_Fx3_89yxMV1iVdUrjmoMx35uHqU8KhgvwdOCJhcBn5h4KqU5mehkj6Q6Cwvj6FV2JURALQ6jJcIeP_8Iec-axGKU8ojJ0iQTdgNk3Rvfw79kpaTiyPVxhM3blTZ_UlNjm6d7V1iLcHB1e758EVRKHwPEwHgTeZaHUeRx576JESmcT7XZDi7grS3hWiMNIYRElkRYfAkBhFU4kpBygvMpyvgSNHrayDMyFWAWXITdCCyGIYcwjZa0yxjru8yZs14OTPpVaHelQlbnoxhS7MaVuTGUTWvXwpZXb9lPEooRodBI3YacejtHnPytb-VfpVZhE2BWVBzktaAyeX_waQpuBXa9s-QP4FOhj priority: 102 providerName: Springer Nature |
| Title | Detecting chatter and estimating wear from the torque of end milling signals by using Index Based Reasoner (IBR) |
| URI | https://link.springer.com/article/10.1007/s00170-010-2838-5 https://www.proquest.com/docview/2262415896/abstract/ |
| Volume | 58 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1NbxMxEB21yaU9IChFDYTIhx5Kq1W6_lh7TyiBfLSIqIoaKZxWttfbnpJAghD_npnNbtIiwW3ltWxpNPY8-3neAJxr7XIdWxOFgGdVqUwSWRtsJJTwVnPleEq5w18nyXgmb-dqfgDjOheGnlXWe2K5UedLT3fkXYQJFGxMmnSto1sAv-l-XH2PqH4U8axVMY1DaPJYEmHb7A8md9Pat-JUU33Mne_xlIrS731bSCW2jFfFQCRxmUaHRxRDi9DUjOh1KUBalmvBHQyDs4nU85i2B6p_catlyBq-hBcV1mS9rXO8goOwOIHjJwqEr2H1ORCLgN_MP5ZSm8wuckbSGwRlsfkXLgVGSSgMoSLDEzrOypYFC9iNShZRH3oEgm7M3G9G7-gf2A1pMLI-RsicTYNdkxoSu7jpTz-cwmw4uP80jqoiDJEXcbKJgs_R6kXCQ_A8Vcq71Pjr2CFuylORl-IuSjpEOaSlhwBOOo0bAWX-66DzQryBxgJnOQPmYxxCqFhYaaSUxBAWXDunrXVehKIFl7UZs9VWayPbqSqXNs_Q5hnZPFMtaNeGzqplt872TtKCq9r4-9__HOzt_wd7B0eIk_j25qUNjc2Pn-E9YpGN68ChGY460OyNvn0ZdCqnw9YZ7_0BFfjYng |
| link.rule.ids | 315,786,790,12792,21416,27957,27958,33408,33779,41116,41558,42185,42627,43635,43840,52146,52269 |
| linkProvider | ProQuest |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1NTwIxEG0UD-rB-BlR1B48-JGN7Lbd7p6MqAgKHAgk3DZtt6snQMEY_70zZRfURG-bbtMmk9fOa6fzhpBTKXUqfRV51sJZlYso9JSyymOCGSUDoYMYc4fbnbDR548DMcgv3Cb5s8piT3QbdToyeEd-BTQBnU0Uh9fjVw-rRmF0NS-hsUxWOAPXiZni9YcCT34ssSbmHG9BjIXoF3hmXLBZlCuPOoS-S52DY0mECy8qoqBVJzrqSrTArgUOOfLETz-2IKe_4qnOTdU3yUbOL-nNDBBbZMkOt8n6N9XBHTK-sxg5gG9qXpy8JlXDlKLcBtJXaP4A-FNMPKFADymcymFWOsqohW5Ypgj74MMPgC7VnxTfzj_TJuou0hp4xZR2rZqgAhI9a9a657ukX7_v3Ta8vPCCZ5gfTj1rUrB0FgbWmiAWwug4MlVfA1dKY5Y6QRfBNTAb1M8D0sa1hMWP2f7SyjRje6Q0hFn2CTU-DMGEzxSPOOcYFcwCqbVUShtmszK5KMyYjGf6GslcSdnZPAGbJ2jzRJRJpTB0ki-1SbIARplcFsZf_P5zsIP_Bzshq41eu5W0mp2nQ7IGPCmY3bxUSGn69m6PgItM9bED3BcBl9MI |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3dT9swED8xkKbtgbEPtELH_MDDPpSWxHbsPJa1HYWtmqohsadgO84mIZWKBiH467nLRzsQe0B7ixLLVs53uZ9zd78D2FXKZio0OvAez6pC6jgwxpuAS-6MiqSNEqod_j6OD47F4Yk8qfuczpts9yYkWdU0EEvTtOjOsry7KHwraV8CCuSie9SBfAJrAq0WVXyt9_XX0aBRqTBR1BZzoXJRQr3olyrNheRVoKsOPMRhWT2HJxNNtqebQOhDi951ZUt8ei-kWnqq4Qs4bd6xSlA561wWtuNu7tE__ocQNmC9RrGsV6ndS1jx01fw_C9uw9cw63uKT-A1c39KEk9mphkjUg8CyXj7Co2MUXkLQxDK8OyPL8bOc-ZxGDVDojGUXoIGwuw1owz932xE7I5sH31vxibezIlniX0Y7U8-voHj4eDnl4Ogbu8QOB7GReBdFkqdx5H3LkqkdDbRbi-0iMiyhGclbYwUFvETsfQhNBRW4SeGOAWUV1nON2F1iqu8BeZCnILLkBuhhRAUe8wjZa0yxjru8xZ8anYqnVUsHumCr7kUY4piTEmMqWxBu9nLtDboeYoolbCOTuIWfG62Zvn4n5NtPWr0e3j6oz9Mv43GR9vwDLFZVP3tacNqcXHp3yH-KexOreO3edf1Eg |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Detecting+chatter+and+estimating+wear+from+the+torque+of+end+milling+signals+by+using+Index+Based+Reasoner+%28IBR%29&rft.jtitle=International+journal+of+advanced+manufacturing+technology&rft.au=Tansel%2C+I.+N.&rft.au=Li%2C+M.&rft.au=Demetgul%2C+M.&rft.au=Bickraj%2C+K.&rft.date=2012-01-01&rft.issn=0268-3768&rft.eissn=1433-3015&rft.volume=58&rft.issue=1-4&rft.spage=109&rft.epage=118&rft_id=info:doi/10.1007%2Fs00170-010-2838-5&rft.externalDBID=n%2Fa&rft.externalDocID=10_1007_s00170_010_2838_5 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0268-3768&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0268-3768&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0268-3768&client=summon |