Robust Design Based on Grey Correlation Analysis

Lian Xue; Le Le Dong

doi:10.4028/www.scientific.net/AMM.401-403.272

Paper Titles

Research on Grasping Force of New Type Pneumatic Flexible Finger
p.245

Research on Mechanism of Overland Flow Losses of Direct-Current Conduction Electromagnetic Pump for Casting
p.250

Research on Pitting Corrosion Fault Model of Vibrating Screens Rolling Element Bearing
p.254

Research on Structure and Kinematics of Hexapod Robot Based on the Pneumatic Flexible Joint
p.267

Robust Design Based on Grey Correlation Analysis
p.272

Sensibility Analysis and Structural Optimization Design of Vehicle Frame
p.276

Study of the Suitability between Artificial Cavity and Traffic Vessel
p.282

Study on High-Temperature Heat Harm Control Technology in Deep Mine
p.287

Study on the Abrasive Wear in a Ball Type Joint of Automotive Drive Shaft
p.291

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Robust Design Based on Grey Correlation Analysis

Robust Design Based on Grey Correlation Analysis

Abstract:

In this article, the grey correlation is regarded as the decision index of Multiple Quality Characteristics of the Robust designed by the grey system theory. Then using the Analysis of variance to get the factors of Significantly affecting the stability and the best parameter. At last advantage of the method is proved by examples. It proves that grey system theory in robust design is practical greatly.

You might also be interested in these eBooks

Frontiers of Manufacturing Science and Measuring Technology III

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

272-275

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.272

Citation:

Cite this paper

Online since:

September 2013

Authors:

Lian Xue, Le Le Dong

Keywords:

Analysis of Variance (ANOVA), Entropy Method, Grey Correlation, Robust Design

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] T.E. Murphy, K.L. Tsui, J.K. Allen: A Review of Robust Design Methods for Multiple Responses, Research in Engineering Design Vol. 15 (2005), pp.201-215.

DOI: 10.1007/s00163-004-0054-8

Google Scholar

[2] C.T. Su, L.I. Tong: Multi-Response Robust Design by Principal Component Analysis, Total Qual Manage Vol. 8 (1997), pp.409-416.

DOI: 10.1080/0954412979415

Google Scholar

[3] J. Joseph, J.R. Pignatiello: Strategies for Robust Multi-Response Quality Engineering, Eng. Res . Develop I.I. E Trans. Vol. 25 (1993), pp.5-15.

Google Scholar

[4] C.L. Lin, J.L. Lin, T.C. Ko: Optimization of The EDM Process Based on The Orthogonal Array with Fuzzy Logic and Grey Relational Analysis Method, International Journal of Advanced Manufacturing Technology, Vol. 19 (2002), pp.271-277.

DOI: 10.1007/s001700200034

Google Scholar

[5] K. Xin.: Robust Design Research Progress and Fuzzy Robust Design, Mechanical Design, Vol. 22 (2005) , pp.1-5.

Google Scholar

[6] R. Jeyapail, P. Shahabudeen, K. Krishnaiah: Quality Management Research by Considering Multi-Response Problems in The Taguchi Method--A Review, International Journal of Advanced Manufacturing Technology, Vol. 26 (2005), pp.1331-1337.

DOI: 10.1007/s00170-004-2102-y

Google Scholar

[7] F.Z. Zeng: Robustness of The Design Principle of Technical Methods Case (Weapon Industry Press, BeiJing 2004).

Google Scholar

[8] W.H. Qiu: Management Decision-Making and Application of Entropy Learning (Mechanical Industry Press, BeiJing 2002).

Google Scholar

[9] S.S. Mao, J.X. Zhou, Y. Chen: Experimental Design (China Statistics Press, Beijing 2006).

Google Scholar