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Development of a Stress Factor as an Indicator for Stress-Based Payment Models for Machine Tools

Kohn, Oliver ; Stanula, Patrick ; Lang, Enno ; Weigold, Matthias ; Metternich, Joachim
eds.: Behrens, Bernd-Arno ; Brosius, Alexander ; Drossel, Welf-Guntram ; Hintze, Wolfgang ; Ihlenfeldt, Steffen ; Nyhuis, Peter (2021)
Development of a Stress Factor as an Indicator for Stress-Based Payment Models for Machine Tools.
doi: 10.1007/978-3-030-78424-9_27
Conference or Workshop Item, Bibliographie

Abstract

Pay-per-use models for machine tools based on the operating hours neither include the load nor the actualwear of components, although themachining process has a strong impact on the wear of components and consequently on the residual value of the machine tool. This requires a characteristic indicator for the implementation of stress-based data driven payment models for machine tools, which correlates with the degradation process during operation. Also, the indicator has to be responsive from the beginning of the lifecycle of a component and not from the point where a significant change of the condition or potential failure is detected. Therefore, this paper presents an approach to determine the degradation of a machine tool based on the calculation of the wear reserve for most relevant components. Since data driven modeling of the degradation process demands an enormous amount of data, this approach considers the fatigue theory and the calculated life including the actual load during the machining process. This concept provides transparency in the usage of machine tools and allows to implement a stress-based payment model.

Item Type: Conference or Workshop Item
Erschienen: 2021
Editors: Behrens, Bernd-Arno ; Brosius, Alexander ; Drossel, Welf-Guntram ; Hintze, Wolfgang ; Ihlenfeldt, Steffen ; Nyhuis, Peter
Creators: Kohn, Oliver ; Stanula, Patrick ; Lang, Enno ; Weigold, Matthias ; Metternich, Joachim
Type of entry: Bibliographie
Title: Development of a Stress Factor as an Indicator for Stress-Based Payment Models for Machine Tools
Language: English
Date: 20 September 2021
Place of Publication: Berlin
Publisher: Springer
Book Title: Production at the Leading Edge of Technology - Proceedings of the 11th Congress of the German Academic Association for Production Technology (WGP), Dresden, September 2021
Series: Lecture Notes in Production Engineering
DOI: 10.1007/978-3-030-78424-9_27
Abstract:

Pay-per-use models for machine tools based on the operating hours neither include the load nor the actualwear of components, although themachining process has a strong impact on the wear of components and consequently on the residual value of the machine tool. This requires a characteristic indicator for the implementation of stress-based data driven payment models for machine tools, which correlates with the degradation process during operation. Also, the indicator has to be responsive from the beginning of the lifecycle of a component and not from the point where a significant change of the condition or potential failure is detected. Therefore, this paper presents an approach to determine the degradation of a machine tool based on the calculation of the wear reserve for most relevant components. Since data driven modeling of the degradation process demands an enormous amount of data, this approach considers the fatigue theory and the calculated life including the actual load during the machining process. This concept provides transparency in the usage of machine tools and allows to implement a stress-based payment model.

Uncontrolled Keywords: Machine tools, Wear, Remaining useful life, Pay-per-stress 1 Introduction
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > Management of Industrial Production
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > TEC Manufacturing Technology
Date Deposited: 21 Sep 2021 06:01
Last Modified: 04 Nov 2021 12:47
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