Uncertainties in CMM Measurements, Control of ISO Specifications
In the scope of quality control, accurate evaluation of measurement uncertainties is a real challenge to improve the use of Coordinate Measuring Machines (CMM). In our work, a new method, based on a statistical approach of the problem, was therefore developed, to deduce instantaneous measurement unc...
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| Published in | CIRP annals Vol. 52; no. 1; pp. 423 - 426 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
2003
Elsevier |
| Subjects | |
| Online Access | Get full text |
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| Abstract | In the scope of quality control, accurate evaluation of measurement uncertainties is a real challenge to improve the use of Coordinate Measuring Machines (CMM). In our work, a new method, based on a statistical approach of the problem, was therefore developed, to deduce instantaneous measurement uncertainties directly from the set of acquired coordinates. The covariance matrix of the intrinsic parameters which characterize each analyzed surface is also evaluated, thus allowing an accurate propagation of the measurement uncertainties to the ISO specifications to be controlled. The experiments carried out in our study illustrate this new statistical approach and demonstrate its relevance. |
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| AbstractList | In the scope of quality control, accurate evaluation of measurement uncertainties is a real challenge to improve the use of Coordinate Measuring Machines (CMM). In our work, a new method, based on a statistical approach of the problem, was therefore developed, to deduce instantaneous measurement uncertainties directly from the set of acquired coordinates. The covariance matrix of the intrinsic parameters which characterize each analyzed surface is also evaluated, thus allowing an accurate propagation of the measurement uncertainties to the ISO specifications to be controlled. The experiments carried out in our study illustrate this new statistical approach and demonstrate its relevance. In the scope of quallty control, accurate evaluatlon of measurement uncertalntles is a real challenge to Improve the use d Coordlnate Measurlng Machlnes (CMM). In our work, a new method, based on a statistical approach of the problem, was therefore developed, to deduce instantaneous measurement uncertainties directly from the set of acquired coordinates. The covariance matrix of the intrlnsic parameters whlch characterize each analyzed surface Is also evaluated, thus allowlng an accurate propagatlon of the measurement uncertainties to the ISO specifications to be controlled. The experiments carried out in our study illustrate thls new statistical approach and demonstrate its relevance. |
| Author | Bourdet, P. Linares, J.M. Bachmann, J. Sprauel, J.M. |
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| CitedBy_id | crossref_primary_10_1007_s00170_020_05280_3 crossref_primary_10_1115_1_2798114 crossref_primary_10_1016_j_measurement_2005_12_005 crossref_primary_10_3722_cadaps_2013_629_641 crossref_primary_10_1016_j_ifacol_2019_10_023 crossref_primary_10_1016_j_cirp_2009_03_008 crossref_primary_10_1631_jzus_A1500093 crossref_primary_10_1016_j_precisioneng_2013_07_006 crossref_primary_10_1016_j_precisioneng_2008_09_003 crossref_primary_10_3103_S1068798X16080165 crossref_primary_10_1088_1742_6596_1515_5_052035 crossref_primary_10_1051_matecconf_201822401093 crossref_primary_10_1016_j_procir_2013_08_012 crossref_primary_10_1016_j_procir_2015_12_105 |
| Cites_doi | 10.1016/S0010-4485(98)00012-8 10.1016/S0007-8506(07)63218-1 10.1016/0010-4485(95)96799-R 10.1016/S0141-6359(97)81198-1 10.1016/S0007-8506(07)62973-4 |
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| References | Yau (bib6) 1997; 20 1993, Glide to the Expression of Uncertainty in Measurement, First Edition, International Organization for Standardization. Kurfess, Banks (bib5) 1995; 27/5 Choi, Kurfess (bib7) 1998; 30/7 Sprauel J.M. Linares J.M. Bourdet P. 2001, Contribution of nonlinear optimization to the determination of measurement uncertainties, Proceedings of the 7th CIRP Seminar on Computer-Aided Tolerancing:285-291. Schwenke, Slebert, Wäldele, Kunzmann (bib4) 2000; 49/1 Srinivasan V. 2001, An Integrated view of Geometrical Product Specification and Verification, Proceedings of the 7th CIRP Seminar on Computer-Aided Tolerancing: 7-17. Balsamo, Di Clommo, Mugno, Rebaglla, Cicci, Grella (bib3) 1999; 48/1 Yau (10.1016/S0007-8506(07)60616-7_bib6) 1997; 20 Schwenke (10.1016/S0007-8506(07)60616-7_bib4) 2000; 49/1 Choi (10.1016/S0007-8506(07)60616-7_bib7) 1998; 30/7 10.1016/S0007-8506(07)60616-7_bib8 Kurfess (10.1016/S0007-8506(07)60616-7_bib5) 1995; 27/5 10.1016/S0007-8506(07)60616-7_bib1 10.1016/S0007-8506(07)60616-7_bib2 Balsamo (10.1016/S0007-8506(07)60616-7_bib3) 1999; 48/1 |
| References_xml | – volume: 20 start-page: 123 year: 1997 end-page: 137 ident: bib6 article-title: Evaluation and uncertainty analysis of vectorial tolerances publication-title: Precision engineering contributor: fullname: Yau – volume: 48/1 start-page: 425 year: 1999 end-page: 428 ident: bib3 article-title: Evaluation of CMM Uncertainty through Monte Carlo Simulations publication-title: Annals of the CIRP contributor: fullname: Grella – volume: 49/1 start-page: 395 year: 2000 end-page: 397 ident: bib4 article-title: Assessment of Uncertainties in Dimensional Metrology by Monte Carlo Simulation publication-title: Annals of the CIRP contributor: fullname: Kunzmann – volume: 27/5 start-page: 353 year: 1995 end-page: 361 ident: bib5 article-title: Statistical verification of conformance to geometric tolerance publication-title: Computer Aided Design contributor: fullname: Banks – volume: 30/7 start-page: 549 year: 1998 end-page: 557 ident: bib7 article-title: Uncertainty of extreme fit evaluation for three-dimensional measurement data analysis publication-title: Computer Aided Design contributor: fullname: Kurfess – volume: 30/7 start-page: 549 year: 1998 ident: 10.1016/S0007-8506(07)60616-7_bib7 article-title: Uncertainty of extreme fit evaluation for three-dimensional measurement data analysis publication-title: Computer Aided Design doi: 10.1016/S0010-4485(98)00012-8 contributor: fullname: Choi – ident: 10.1016/S0007-8506(07)60616-7_bib1 – ident: 10.1016/S0007-8506(07)60616-7_bib2 – volume: 48/1 start-page: 425 year: 1999 ident: 10.1016/S0007-8506(07)60616-7_bib3 article-title: Evaluation of CMM Uncertainty through Monte Carlo Simulations publication-title: Annals of the CIRP doi: 10.1016/S0007-8506(07)63218-1 contributor: fullname: Balsamo – ident: 10.1016/S0007-8506(07)60616-7_bib8 – volume: 27/5 start-page: 353 year: 1995 ident: 10.1016/S0007-8506(07)60616-7_bib5 article-title: Statistical verification of conformance to geometric tolerance publication-title: Computer Aided Design doi: 10.1016/0010-4485(95)96799-R contributor: fullname: Kurfess – volume: 20 start-page: 123 year: 1997 ident: 10.1016/S0007-8506(07)60616-7_bib6 article-title: Evaluation and uncertainty analysis of vectorial tolerances publication-title: Precision engineering doi: 10.1016/S0141-6359(97)81198-1 contributor: fullname: Yau – volume: 49/1 start-page: 395 year: 2000 ident: 10.1016/S0007-8506(07)60616-7_bib4 article-title: Assessment of Uncertainties in Dimensional Metrology by Monte Carlo Simulation publication-title: Annals of the CIRP doi: 10.1016/S0007-8506(07)62973-4 contributor: fullname: Schwenke |
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| SubjectTerms | Chemical and Process Engineering Coordinate measuring machine Engineering Sciences Mechanical engineering Mechanics Statistical Uncertainty |
| Title | Uncertainties in CMM Measurements, Control of ISO Specifications |
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