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Evaluation of control strategies in forming processes

Calmano, Stefan and Hesse, Daniel and Hoppe, Florian and Groche, Peter
Qin, Y. and Dean, T. A. and Lin, J. and Yuan, S. J. and Vollertsen, F. (eds.) (2015):
Evaluation of control strategies in forming processes.
edp science, In: MATEC Web of Conferences (Tagungsband der 4. International Conference on New Forming Technology, ICNFT 2015), [Conference or Workshop Item]

Abstract

Products of forming processes are subject to quality fluctuations due to uncertainty in semi-finished part properties as well as process conditions and environment. An approach to cope with these uncertainties is the implementation of a closed-loop control taking into account the actual product properties measured by sensors or estimated by a mathematical process model. Both methods of uncertainty control trade off with a financial effort. In case of sensor integration the effort is the cost of the sensor including signal processing as well as the design and manufacturing effort for integration. In case of an estimation model the effort is mainly determined by the time and knowledge needed to derive the model, identify the parameters and implement the model into the PLC. The risk of mismatch between model and reality as well as the risk of wrong parameter identification can be assumed as additional uncertainty (model uncertainty). This paper evaluates controlled and additional uncertainty by taking into account process boundary conditions like the degree of fluctuations in semi-finished part properties. The proposed evaluation is demonstrated by the analysis of exemplary processes.

Item Type: Conference or Workshop Item
Erschienen: 2015
Editors: Qin, Y. and Dean, T. A. and Lin, J. and Yuan, S. J. and Vollertsen, F.
Creators: Calmano, Stefan and Hesse, Daniel and Hoppe, Florian and Groche, Peter
Title: Evaluation of control strategies in forming processes
Language: English
Abstract:

Products of forming processes are subject to quality fluctuations due to uncertainty in semi-finished part properties as well as process conditions and environment. An approach to cope with these uncertainties is the implementation of a closed-loop control taking into account the actual product properties measured by sensors or estimated by a mathematical process model. Both methods of uncertainty control trade off with a financial effort. In case of sensor integration the effort is the cost of the sensor including signal processing as well as the design and manufacturing effort for integration. In case of an estimation model the effort is mainly determined by the time and knowledge needed to derive the model, identify the parameters and implement the model into the PLC. The risk of mismatch between model and reality as well as the risk of wrong parameter identification can be assumed as additional uncertainty (model uncertainty). This paper evaluates controlled and additional uncertainty by taking into account process boundary conditions like the degree of fluctuations in semi-finished part properties. The proposed evaluation is demonstrated by the analysis of exemplary processes.

Publisher: edp science
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institut für Produktionstechnik und Umformmaschinen (PtU)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 805: Control of Uncertainty in Load-Carrying Structures in Mechanical Engineering
Zentrale Einrichtungen
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
DFG-Collaborative Research Centres (incl. Transregio)
Event Title: MATEC Web of Conferences (Tagungsband der 4. International Conference on New Forming Technology, ICNFT 2015)
Date Deposited: 14 Oct 2015 12:57
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