Date
2015-02-17Metadata
Show full item record
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.
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/10.1063/1.4873888Citation
@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}
}
0500 Oax
0501 Text $btxt$2rdacontent
0502 Computermedien $bc$2rdacarrier
1100 2015$n2015
1500 1/eng
2050 ##0##http://hdl.handle.net/123456789/12061
3000 Biermann, Dirk
3010 Hess, Stefan
3010 Ries, Angela
3010 Wagner, Tobias
3010 Wibbeke, Andrea
4000 Optimization of thermomechanical processes for the functional gradation of polymers by means of advanced empirical modeling techniques / Biermann, Dirk
4030
4060 Online-Ressource
4085 ##0##=u http://nbn-resolving.de/http://hdl.handle.net/123456789/12061=x R
4204 \$dAufsatz
4170
5550 {{Funktioneller Gradientenwerkstoff}}
5550 {{Modellierung}}
5550 {{Versuchsplanung}}
5550 {{Mehrkriterielle Optimierung}}
5550 {{Polymere}}
7136 ##0##http://hdl.handle.net/123456789/12061
<resource xsi:schemaLocation="http://datacite.org/schema/kernel-2.2 http://schema.datacite.org/meta/kernel-2.2/metadata.xsd"> 2020-12-01T15:24:29Z 2020-12-01T15:24:29Z 2015-02-17 doi:10.17170/kobra-202011192223 http://hdl.handle.net/123456789/12061 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 eng Urheberrechtlich geschützt https://rightsstatements.org/page/InC/1.0/ functionally graded materials empirical modeling design and analyis of computer experiments multi-objective optimization polymers 600 Optimization of thermomechanical processes for the functional gradation of polymers by means of advanced empirical modeling techniques Aufsatz 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. open access Biermann, Dirk Hess, Stefan Ries, Angela Wagner, Tobias Wibbeke, Andrea doi:10.1063/1.4873888 Funktioneller Gradientenwerkstoff Modellierung Versuchsplanung Mehrkriterielle Optimierung Polymere publishedVersion EISSN 1551-7616 Issue 1 AIP Conference Proceedings 766-770 Volume 1593 false </resource>
The following license files are associated with this item:
:Urheberrechtlich geschützt