Multivariate SPC for total inertial tolerancing

This paper presents a joint use of the T2 chart and total inertial tolerancing for process control. Here, we will show an application of these approaches in the case of the machining of mechanical workpieces using a cutting tool. When a cutting tool in machining impacts...

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Main Authors: Pillet M., Boukar A., Pairel E., Rizzon B., Boudaoud N., Cherfi Z.
Format: Article
Language:English
Published: EDP Sciences 2013-01-01
Series:International Journal of Metrology and Quality Engineering
Subjects:
Online Access:https://doi.org/10.1051/ijmqe/2013055
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author Pillet M.
Boukar A.
Pairel E.
Rizzon B.
Boudaoud N.
Cherfi Z.
author_facet Pillet M.
Boukar A.
Pairel E.
Rizzon B.
Boudaoud N.
Cherfi Z.
author_sort Pillet M.
collection DOAJ
description This paper presents a joint use of the T2 chart and total inertial tolerancing for process control. Here, we will show an application of these approaches in the case of the machining of mechanical workpieces using a cutting tool. When a cutting tool in machining impacts different manufactured dimensions of the workpiece, there is a correlation between these parameters when the cutting tool has maladjustment due to bad settings. Thanks to total inertial steering, the correlation structure is known. This paper shows how T2 charts allow one to take this correlation into account when detecting the maladjustment of the cutting tool. Then the total inertial steering approach allows one to calculate the value of tool offsets in order to correct this maladjustment. We will present this approach using a simple theoretical example for ease of explanation.
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spelling doaj.art-e6029375a6b943baa8cf71a4be8db1682022-12-21T22:42:00ZengEDP SciencesInternational Journal of Metrology and Quality Engineering2107-68392107-68472013-01-014316917510.1051/ijmqe/2013055ijmqe130055Multivariate SPC for total inertial tolerancingPillet M.0Boukar A.1Pairel E.2Rizzon B.3Boudaoud N.4Cherfi Z.5SYMME Laboratory – Université de SavoieSYMME Laboratory – Université de SavoieSYMME Laboratory – Université de SavoieSYMME Laboratory – Université de SavoieROBERVAL Laboratory, UMR CNRS 6253, Université de Technologie de CompiègneROBERVAL Laboratory, UMR CNRS 6253, Université de Technologie de CompiègneThis paper presents a joint use of the T2 chart and total inertial tolerancing for process control. Here, we will show an application of these approaches in the case of the machining of mechanical workpieces using a cutting tool. When a cutting tool in machining impacts different manufactured dimensions of the workpiece, there is a correlation between these parameters when the cutting tool has maladjustment due to bad settings. Thanks to total inertial steering, the correlation structure is known. This paper shows how T2 charts allow one to take this correlation into account when detecting the maladjustment of the cutting tool. Then the total inertial steering approach allows one to calculate the value of tool offsets in order to correct this maladjustment. We will present this approach using a simple theoretical example for ease of explanation.https://doi.org/10.1051/ijmqe/2013055MachiningadjustmentT2multivariateinertial tolerancing
spellingShingle Pillet M.
Boukar A.
Pairel E.
Rizzon B.
Boudaoud N.
Cherfi Z.
Multivariate SPC for total inertial tolerancing
International Journal of Metrology and Quality Engineering
Machining
adjustment
T2
multivariate
inertial tolerancing
title Multivariate SPC for total inertial tolerancing
title_full Multivariate SPC for total inertial tolerancing
title_fullStr Multivariate SPC for total inertial tolerancing
title_full_unstemmed Multivariate SPC for total inertial tolerancing
title_short Multivariate SPC for total inertial tolerancing
title_sort multivariate spc for total inertial tolerancing
topic Machining
adjustment
T2
multivariate
inertial tolerancing
url https://doi.org/10.1051/ijmqe/2013055
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AT boukara multivariatespcfortotalinertialtolerancing
AT pairele multivariatespcfortotalinertialtolerancing
AT rizzonb multivariatespcfortotalinertialtolerancing
AT boudaoudn multivariatespcfortotalinertialtolerancing
AT cherfiz multivariatespcfortotalinertialtolerancing