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  BiermannHessRiesWagnerWibbekeOptimization.pdf (1.090Mb)
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Date
2015-02-17
Author
Biermann, DirkHess, StefanRies, AngelaWagner, TobiasWibbeke, Andrea
Subject
600  Technology  Funktioneller GradientenwerkstoffModellierungVersuchsplanungMehrkriterielle OptimierungPolymere
URI
doi:10.17170/kobra-202011192223

doi:10.1063/1.4873888
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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.
Citation
In: AIP Conference Proceedings  Volume 1593 / Issue 1 (2015-02-17) , S. 766-770 ; EISSN 1551-7616
Sponsorship
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/10.1063/1.4873888
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