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Journal ArticleDOI

Use of the Taguchi Method and Grey Relational Analysis to Optimize Turning Operations with Multiple Performance Characteristics

C. L. Lin
- 28 Dec 2004 - 
- Vol. 19, Iss: 2, pp 209-220
TLDR
In this paper, an approach based on the Taguchi method with grey relational analysis for optimizing turning operations with multiple performance characteristics was proposed, including tool life, cutting force, and surface roughness.
Abstract
This article addresses an approach based on the Taguchi method with grey relational analysis for optimizing turning operations with multiple performance characteristics. A grey relational grade obtained from the grey relational analysis is used to solve the turning operations with multiple performance characteristics. Optimal cutting parameters can then be determined by the Taguchi method using the grey relational grade as the performance index. Tool life, cutting force, and surface roughness are important characteristics in turning. Using these characteristics, the cutting parameters, including cutting speed, feed rate, and depth of cut are optimized in the study. Experimental results have been improved through this approach.

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Journal ArticleDOI

Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis

TL;DR: In this paper, the authors investigated the optimization of CNC turning operation parameters for SKD11 (JIS) using the Grey relational analysis method and found the degree of influence for each controllable process factor onto individual quality targets.
Journal ArticleDOI

Multi-response optimization of minimum quantity lubrication parameters using Taguchi-based grey relational analysis in turning of difficult-to-cut alloy Haynes 25

TL;DR: In this paper, the authors presented an approach for optimization of machining parameters with multi-response outputs using design of experiment in turning using Taguchi's L9 orthogonal array.
Journal ArticleDOI

Use of the grey relational analysis to determine optimum laser cutting parameters with multi-performance characteristics

TL;DR: In this article, the laser cutting parameters such as laser power and cutting speed are optimized with consideration of multiple-performance characteristics, such as workpiece surface roughness, top kerf width and width of heat affected zone (HAZ).
Journal ArticleDOI

Optimization of Plasma Arc Welding Parameters by Using the Taguchi Method with the Grey Relational Analysis

TL;DR: In this paper, the optimal parameters process of plasma arc welding (PAW) by the Taguchi method with Grey relational analysis is studied, and the Grey relational grade is used to find optimal PAW parameters with multiple response performance characteristics.
Journal ArticleDOI

Analysis on Drilling of Glass Fiber–Reinforced Polymer (GFRP) Composites Using Grey Relational Analysis

TL;DR: In this article, the use of Grey relational analysis for optimizing the drilling parameters on the surface roughness and the thrust force in the drilling of GFRP composites was investigated, and the results showed that the machining performance in the composite machining process can be improved at optimal drilling conditions.
References
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Book

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TL;DR: Taguchi as discussed by the authors presented Taguchi Techniques for Quality Engineering (TQE), a technique for quality engineering in the field of high-level geometry. Technometrics: Vol. 31, No. 2, pp. 253-255.
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