Measurement Parameters Optimized for Sequential Multilateration in Calibrating a Machine Tool with a DOE Method

Improving volumetric error compensation is one of the machine tool user’s key objectives. Smart compensation is bound to calibration accuracy. Calibration quality depends largely on its setup factors. An evaluation criterion is thus required to test the quality of the compensation deduced from these...

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Main Authors: Fabien Ezedine, Jean-Marc Linares, Julien Chaves-Jacob, Jean-Michel Sprauel
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Applied Sciences
Subjects:
Online Access:http://www.mdpi.com/2076-3417/6/11/313
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author Fabien Ezedine
Jean-Marc Linares
Julien Chaves-Jacob
Jean-Michel Sprauel
author_facet Fabien Ezedine
Jean-Marc Linares
Julien Chaves-Jacob
Jean-Michel Sprauel
author_sort Fabien Ezedine
collection DOAJ
description Improving volumetric error compensation is one of the machine tool user’s key objectives. Smart compensation is bound to calibration accuracy. Calibration quality depends largely on its setup factors. An evaluation criterion is thus required to test the quality of the compensation deduced from these setup factors. The residual error map, which characterizes post-compensation machine errors, is therefore chosen and then needs to be evaluated. In this study, the translation axes of a machine tool were calibrated with a multilateration tracking laser interferometer. In order to optimize such measurements, the residual error map was then characterized by two appliances: a laser interferometer and the tracking laser already employed for the calibration, using for that purpose the sequential multilateration technique. This research work thus aimed to obtain a smart setup of parameters of machine tool calibration analyzing these two residual error maps through the Design Of Experiment (DOE) method. To achieve this goal, the first step was to define the setup parameters for calibrating a compact machine tool with a multilateration tracking laser. The second step was to define both of the measurement processes that are employed to estimate the residual error map. The third step was to obtain the optimized setup parameters using the DOE method.
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spelling doaj.art-feadd83152cf4470beeaa2a74f43c0cd2022-12-21T17:57:15ZengMDPI AGApplied Sciences2076-34172016-10-0161131310.3390/app6110313app6110313Measurement Parameters Optimized for Sequential Multilateration in Calibrating a Machine Tool with a DOE MethodFabien Ezedine0Jean-Marc Linares1Julien Chaves-Jacob2Jean-Michel Sprauel3Institute Movement Science, CNRS, ISM, Aix Marseille University, Marseille 13009, FranceInstitute Movement Science, CNRS, ISM, Aix Marseille University, Marseille 13009, FranceInstitute Movement Science, CNRS, ISM, Aix Marseille University, Marseille 13009, FranceInstitute Movement Science, CNRS, ISM, Aix Marseille University, Marseille 13009, FranceImproving volumetric error compensation is one of the machine tool user’s key objectives. Smart compensation is bound to calibration accuracy. Calibration quality depends largely on its setup factors. An evaluation criterion is thus required to test the quality of the compensation deduced from these setup factors. The residual error map, which characterizes post-compensation machine errors, is therefore chosen and then needs to be evaluated. In this study, the translation axes of a machine tool were calibrated with a multilateration tracking laser interferometer. In order to optimize such measurements, the residual error map was then characterized by two appliances: a laser interferometer and the tracking laser already employed for the calibration, using for that purpose the sequential multilateration technique. This research work thus aimed to obtain a smart setup of parameters of machine tool calibration analyzing these two residual error maps through the Design Of Experiment (DOE) method. To achieve this goal, the first step was to define the setup parameters for calibrating a compact machine tool with a multilateration tracking laser. The second step was to define both of the measurement processes that are employed to estimate the residual error map. The third step was to obtain the optimized setup parameters using the DOE method.http://www.mdpi.com/2076-3417/6/11/313machine toolcalibrationcompensationtracking lasersequential multilaterationerror map
spellingShingle Fabien Ezedine
Jean-Marc Linares
Julien Chaves-Jacob
Jean-Michel Sprauel
Measurement Parameters Optimized for Sequential Multilateration in Calibrating a Machine Tool with a DOE Method
Applied Sciences
machine tool
calibration
compensation
tracking laser
sequential multilateration
error map
title Measurement Parameters Optimized for Sequential Multilateration in Calibrating a Machine Tool with a DOE Method
title_full Measurement Parameters Optimized for Sequential Multilateration in Calibrating a Machine Tool with a DOE Method
title_fullStr Measurement Parameters Optimized for Sequential Multilateration in Calibrating a Machine Tool with a DOE Method
title_full_unstemmed Measurement Parameters Optimized for Sequential Multilateration in Calibrating a Machine Tool with a DOE Method
title_short Measurement Parameters Optimized for Sequential Multilateration in Calibrating a Machine Tool with a DOE Method
title_sort measurement parameters optimized for sequential multilateration in calibrating a machine tool with a doe method
topic machine tool
calibration
compensation
tracking laser
sequential multilateration
error map
url http://www.mdpi.com/2076-3417/6/11/313
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AT jeanmarclinares measurementparametersoptimizedforsequentialmultilaterationincalibratingamachinetoolwithadoemethod
AT julienchavesjacob measurementparametersoptimizedforsequentialmultilaterationincalibratingamachinetoolwithadoemethod
AT jeanmichelsprauel measurementparametersoptimizedforsequentialmultilaterationincalibratingamachinetoolwithadoemethod