A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors-Reference-Cited by-同舟云学术

A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors

Published:1996-12-01 Issue:4 Volume:118 Page:478-485
ISSN:1050-0472
Container-title:Journal of Mechanical Design
language:en
Short-container-title:

Author:

Chen Wei¹,Allen J. K.²,Tsui Kwok-Leung³,Mistree F.²

Affiliation:

1. Department of Mechanical Engineering, Clemson University, Clemson, SC

2. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia

3. School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia

Abstract

In this paper, we introduce a small variation to current approaches broadly called Taguchi Robust Design Methods. In these methods, there are two broad categories of problems associated with simultaneously minimizing performance variations and bringing the mean on target, namely, Type I—minimizing variations in performance caused by variations in noise factors (uncontrollable parameters). Type II—minimizing variations in performance caused by variations in control factors (design variables). In this paper, we introduce a variation to the existing approaches to solve both types of problems. This variation embodies the integration of the Response Surface Methodology (RSM) with the compromise Decision Support Problem (DSP). Our approach is especially useful for design problems where there are no closed-form solutions and system performance is computationally expensive to evaluate. The design of a solar powered irrigation system is used as an example.

Publisher

ASME International

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials

Link

http://asmedigitalcollection.asme.org/mechanicaldesign/article-pdf/118/4/478/5666678/478_1.pdf

Reference24 articles.

1. Bascaran, E., 1990, “A Conceptual Model for the Design of Thermal Systems: Concurrent Decisions in Designing for Concept,” Ph.D. Dissertation, Department of Mechanical Engineering, University of Houston, Houston, Texas.

2. Box G. , 1988, “Signal-to-Noise Ratios, Performance Criteria, and Transformations,” Technometrics, Vol. 30, No. 1, pp. 1–18.

3. Chen W. , AllenJ. K., and MistreeF., 1994, “Robust Concurrent Concept Selection and System Synthesis,” Advances in Design Automation, ASME DE-Vol. 69-1, pp. 141–149.

4. Chen, W., 1995, “Robust Concept Exploration Method for Configuring Complex Systems,” Ph.D. Dissertation, August 1995, Georgia Institute of Technology, Atlanta, GA.

5. Chen, W., Simpson, T. W., Allen, J. K., and Mistree, F., 1996a, “Using Design Capability Index for Satisfying a Ranged Set of Specifications,” 1996 ASME Design Automation, Conference, Irvine, California, August 1996. Paper Number 96-DETC/DAC-1090.

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