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Optimization of Multi-Performance Characteristics for a Hybrid Process of EDM and AJM Using Grey Relational Analysis

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Abstract:

The aim of this study is to optimize the process variables of a novel hybrid process of electrical discharge machining (EDM) and abrasive jet machining (AJM) using grey relational analysis. The multi-performance characteristics associated with the developed hybrid process such as the material removal rate (MRR), electrode wear rate (EWR), and surface roughness (SR) were explored through an experimental study according to an L18 orthogonal array based on the Taguchi experimental design method. The experimental results confirmed the multi-performance characteristics of the developed hybrid process would clearly be improved through optimizing the process variables using grey relational analysis.

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Periodical:

Applied Mechanics and Materials (Volumes 789-790)

Pages:

100-104

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.789-790.100

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Online since:

September 2015

Authors:

Yan Cherng Lin*, Jung Chou Hung, A Cheng Wang, Han Ming Chow

Keywords:

AJM, EDM, Grey Relational Analysis, Hybrid Process, Taguchi Method

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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