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Optimizing the rapid prototyping process by integrating the Taguchi method with the Gray relational analysis

Che Chung Wang (Shih‐Chien University, Taipei, Taiwan, Republic of China)
Ta‐Wei Lin (Production Management Department, Nankang, Taiwan, Republic of China)
Shr‐Shiung Hu (QA Department, Nankang, Taiwan, Republic of China)

Rapid Prototyping Journal

ISSN: 1355-2546

Article publication date: 2 October 2007

3498

Abstract

Purpose

The following research seeks to focus on optimizing the fused deposition modeling (FDM) process of RP systems.

Design/methodology/approach

Early stages of this study are based on the Taguchi method in establishing rapid prototyping building factors and their various levels. The ultimate tensile strength, dimension accuracy and surface roughness (SR), are analyzed. Through analysis of variance (ANOVA) and contribution approximation, significant building factors of each quality characteristic and optimal factors level combinations of each best quality characteristic are obtained. The main steps are setting the weight for each quality characteristic of the previous Taguchi method, obtaining the estimated multiple building quality characteristics through integrating the Gray theory, and obtaining a set of optimal building factors. Finally, the result is verified by the Gray theory and the technique for order preference by similarity to ideal solution (TOPSIS) evaluation method.

Findings

It is proven that optimal multiple quality characteristic combinations of building factors can be obtained by integrating the Gray theory and the Taguchi method. The result is further verified by the TOPSIS evaluation method, showing that the model can acquire multiple building quality characteristics of rapid prototyping.

Research limitations/implications

The method is only applied to FDM in this paper but a similar approach could be applied to other RP systems.

Practical implications

RP system use is limited by low product strength, bad SR, and the high dimension errors. This research demonstrates how optimizing the FDM process can improve this situation.

Originality/value

The originality of this paper lies in optimizing the rapid prototyping process by integrating the Taguchi method with the Gray relational analysis.

Keywords

Citation

Chung Wang, C., Lin, T. and Hu, S. (2007), "Optimizing the rapid prototyping process by integrating the Taguchi method with the Gray relational analysis", Rapid Prototyping Journal, Vol. 13 No. 5, pp. 304-315. https://doi.org/10.1108/13552540710824814

Publisher

:

Emerald Group Publishing Limited

Copyright © 2007, Emerald Group Publishing Limited

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