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2015-02-17Metadata
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Aufsatz
Optimization of thermomechanical processes for the functional gradation of polymers by means of advanced empirical modeling techniques
Abstract
In this paper, an optimization procedure for complex manufacturing processes is presented. The procedure is based on advanced empirical modeling techniques and will be presented in two parts. The first part comprises the selection and generation of the empirical surrogate models. The process organization and the design of experiments are taken into account. In order to analyze and optimize the processes based on the empirical models, advanced methods and tools are presented in the second part. These tools include visualization methods and a sensitivity and robustness analysis. Moreover, the obtained surrogate models are used for a model-based multi-objective optimization in order to explore the gradation potential of the processes. The procedure is applied to two thermo-mechanical processes for the functional gradation of polymers - a monoxiale stretching of polycarbonate films and a compression moulding process for polypropylene sheets.
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This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in AIP Conference Proceedings 1593, 766 (2014) and may be found at https://doi.org/10.1063/1.4873888Citation
@article{doi:10.17170/kobra-202011192223,
author={Biermann, Dirk and Hess, Stefan and Ries, Angela and Wagner, Tobias and Wibbeke, Andrea},
title={Optimization of thermomechanical processes for the functional gradation of polymers by means of advanced empirical modeling techniques},
journal={AIP Conference Proceedings},
year={2015}
}
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3010 Ries, Angela
3010 Wagner, Tobias
3010 Wibbeke, Andrea
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5550 {{Funktioneller Gradientenwerkstoff}}
5550 {{Modellierung}}
5550 {{Versuchsplanung}}
5550 {{Mehrkriterielle Optimierung}}
5550 {{Polymere}}
7136 ##0##http://hdl.handle.net/123456789/12061
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