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DFSS and Robust Optimization Tool for Multibody System with Random Variables

Title
DFSS and Robust Optimization Tool for Multibody System with Random Variables
Author
배대성
Keywords
DFSS; Optimization; Multibody; Meta-Model; Paper Feeding System
Issue Date
2007-01
Publisher
Journal of System Design and Dynamics
Citation
Journal of System Design and Dynamics, v. 1, No. 3, Page. 583-592
Abstract
This study presents the DFSS optimization for the dynamic responses of a paper feeding mechanism. The flexible paper is idealized as a series of rigid bars connected by revolute joints and rotational spring dampers. In this mechanism, a paper is fed by a contact and friction mechanism on rollers or guides. The design objective is to minimize the slip amounts between paper and mechanisms and satisfy the 6-sigma constraint for the nip forces of rollers. In order to avoid the difficulty of design sensitivity analysis and overcome the numerical noise, a meta-model based optimization is employed. In this approach, first, the space filling methods and the classical DOE methods are used to generate sampling points. Second, the meta-models are constructed from the Kriging, RBF and RSM methods. Finally, a well-developed numerical optimizer sequentially solves the approximate optimization problem. In the numerical test, the DFSS for the paper feeding mechanism problem, having 8-random design variables, is solved in only 23 analyses.
URI
https://www.jstage.jst.go.jp/article/jsdd/1/3/1_3_583/_article/-char/ja/https://repository.hanyang.ac.kr/handle/20.500.11754/106190
ISSN
1881-3046
DOI
10.1299/jsdd.1.583
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > MECHANICAL ENGINEERING(기계공학과) > Articles
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