High precision grey-box model for compensation of thermal errors on five-axis machines

Gebhardt, Michael; Mayr, Josef; Furrer, Nils; Widmer, Tobias; Weikert, Sascha; Knapp, Wolfgang

doi:10.1016/j.cirp.2014.03.029

Cited by 53 publications

(19 citation statements)

References 4 publications

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“…3, the measurement cycle to determine the relevant thermal position and orientation errors E X0B , E Z0B and E B0B in B-axis coordinate system is shown exemplarily. An overview of thermal position and orientation errors of machine tools is given in [10]. In each axis position the measurement uncertainty is virtually simulated using the Monte-Carlo procedure.…”

Section: Repeatability [Mm]mentioning

confidence: 99%

Automated thermal main spindle & B-axis error compensation of 5-axis machine tools

Mayr

Müller²,

Weikert

2016

CIRP Annals

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Section: Repeatability [Mm]mentioning

confidence: 99%

Automated thermal main spindle & B-axis error compensation of 5-axis machine tools

Mayr

Müller²,

Weikert

2016

CIRP Annals

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“…Several compensation models have been developed to reduce the thermal errors arising when running the machine tools [1,17]. Gebhardt et al [6] use a gray box model to compensate thermal errors of five-axis machine tools consisting of a system of differential equations.…”

Section: Introductionmentioning

confidence: 99%

Thermal error compensation of rotary axes and main spindles using cooling power as input parameter

Mayr

Egeter

Weikert

et al. 2015

Journal of Manufacturing Systems

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“…Consequently, temperature variations are not depreciable but assumable. However, temperature influence is deeply studied in order to reduce it [29,30]. This one is not considered in the verification process proposed but it is minimized.…”

Section: Verification Of Machine Tool Using Api Motorized Retroreflecmentioning

confidence: 99%

Adequacy of Technical and Commercial Alternatives Applied to Machine Tool Verification Using Laser Tracker

et al. 2016

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Besides presenting a volumetric verification technique that allows characterization of the different geometric errors of a machine tool (MT) depending on its kinematic chain and geometry through a kinematic model, this paper investigates the influence of measurement tools and techniques available on the final accuracy of the MT. Volumetric verification based on a laser tracker (LT) relates the coordinates of the tool with the coordinates of the LT, including it into the kinematic model. Using a non-lineal optimization process, approximation functions that characterize the joint influence of MT geometric errors are obtained. However, measurement data will be affected by previous compensation of the MT, the accuracy of the measurement system, LT measurement technology, the type of retroreflector used, and techniques used to improve data accuracy, among other sources of errors. This paper studies the adequacy of different commercial alternatives such as: retroreflectors, LTs from different manufacturers, etc., that can be applied in MT verification using a long-range MT. As the accuracy is strongly affected by the uncertainty of its angular encoders, the multilateration technique tries to improve data accuracy using only LT radial information. Nonetheless, a new bundle adjustment which uses radial and angular information is presented in current metrology software. This paper studies both techniques and analyzes their adequacy for MT verification too.

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High precision grey-box model for compensation of thermal errors on five-axis machines

Cited by 53 publications

References 4 publications

Automated thermal main spindle & B-axis error compensation of 5-axis machine tools

Automated thermal main spindle & B-axis error compensation of 5-axis machine tools

Thermal error compensation of rotary axes and main spindles using cooling power as input parameter

Adequacy of Technical and Commercial Alternatives Applied to Machine Tool Verification Using Laser Tracker

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