DFSS and Robust Optimization Tool for Multibody System with Random Variables
- Authors
- 김민수; 조희제; Lee, Soon-Geul; Choi, Jinhwan; 배대성
- Issue Date
- Jan-2007
- Publisher
- Journal of System Design and Dynamics
- Keywords
- DFSS; Optimization; Multibody; Meta-Model; Paper Feeding System
- Citation
- Journal of System Design and Dynamics, v.1, no.3, pp.583 - 592
- Journal Title
- Journal of System Design and Dynamics
- Volume
- 1
- Number
- 3
- Start Page
- 583
- End Page
- 592
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/43916
- DOI
- 10.1299/jsdd.1.583
- ISSN
- 18813046
- 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.
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Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF MECHANICAL ENGINEERING > 1. Journal Articles
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