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A Concurrent Design Method for Multiple Cross-Sectional Automotive Body Frames Involving Discrete and Continuous Design Variables

Authors: Masataka Yoshimura; Shinji Nishiwaki; Kazuhiro Izui;

A Concurrent Design Method for Multiple Cross-Sectional Automotive Body Frames Involving Discrete and Continuous Design Variables

Abstract

As CAE (Computer Aided Engineering) applications become increasingly precise, the knowledge and technical skill required to operate such applications has become more highly specialized. However, such tools have not been utilized in the initial design process of mechanical products, where designers cannot construct detailed analytical models. This paper proposes a cross-sectional shape design optimization system that supports the initial design process for bar structures. The cross-sectional design problem is formulated as an eight-objective optimization problem that can be solved using genetic algorithms. A method for generating cross-sectional shapes satisfying designer-required characteristics is also proposed. These methods, which reduce the number of trial and error processes and product design failures, are expected to enable shortened product development lead-times.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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