Knowledge-based modeling of manufacturing aspects in structural optimization problems

M. Huber; Ö Petersson; H. Baier

doi:10.4028/0-87849-385-9.111

Knowledge-based modeling of manufacturing aspects in structural optimization problems

M. Huber, Ö Petersson, H. Baier

Engineering and Design

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

In this paper we present a method for the multidisciplinary optimization of structures including qualitative expert knowledge. In addition to multi objective and discrete tasks, which are solved with a genetic algorithm, mainly expert knowledge and experience is available for certain influences in early design stages. Fuzzy Rule Based Systems (FRBS) provide a powerful tool to model such influences via qualitative human knowledge. Based on this idea, a method for building qualitative, knowledge based models has been developed at the institute and enhanced. As an example, structural components constructed from composite aluminum profiles with embedded continuous reinforcing elements have been optimized.

Original language	English
Title of host publication	Flexible Manufacture of Lightweight Frame Structures - Phase 2
Subtitle of host publication	Integration
Publisher	Trans Tech Publications
Pages	111-122
Number of pages	12
ISBN (Print)	0878493859, 9780878493852
DOIs	https://doi.org/10.4028/0-87849-385-9.111
State	Published - 2008

Publication series

Name	Advanced Materials Research
Volume	43
ISSN (Print)	1022-6680

Keywords

Design optimization
Fuzzy knowledge
Genetic algorithm
Manufacturing constraints
Reinforced aluminum profiles

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10.4028/0-87849-385-9.111

Cite this

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title = "Knowledge-based modeling of manufacturing aspects in structural optimization problems",

abstract = "In this paper we present a method for the multidisciplinary optimization of structures including qualitative expert knowledge. In addition to multi objective and discrete tasks, which are solved with a genetic algorithm, mainly expert knowledge and experience is available for certain influences in early design stages. Fuzzy Rule Based Systems (FRBS) provide a powerful tool to model such influences via qualitative human knowledge. Based on this idea, a method for building qualitative, knowledge based models has been developed at the institute and enhanced. As an example, structural components constructed from composite aluminum profiles with embedded continuous reinforcing elements have been optimized.",

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language = "English",

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Knowledge-based modeling of manufacturing aspects in structural optimization problems. / Huber, M.; Petersson, Ö; Baier, H.
Flexible Manufacture of Lightweight Frame Structures - Phase 2: Integration. Trans Tech Publications, 2008. p. 111-122 (Advanced Materials Research; Vol. 43).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this paper we present a method for the multidisciplinary optimization of structures including qualitative expert knowledge. In addition to multi objective and discrete tasks, which are solved with a genetic algorithm, mainly expert knowledge and experience is available for certain influences in early design stages. Fuzzy Rule Based Systems (FRBS) provide a powerful tool to model such influences via qualitative human knowledge. Based on this idea, a method for building qualitative, knowledge based models has been developed at the institute and enhanced. As an example, structural components constructed from composite aluminum profiles with embedded continuous reinforcing elements have been optimized.

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KW - Fuzzy knowledge

KW - Genetic algorithm

KW - Manufacturing constraints

KW - Reinforced aluminum profiles

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BT - Flexible Manufacture of Lightweight Frame Structures - Phase 2

PB - Trans Tech Publications

ER -

Knowledge-based modeling of manufacturing aspects in structural optimization problems

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