Multiple performance optimization in the wire EDM process of SKD61 tool steel using Taguchi grey relational analysis and fuzzy logic

Nuraini Lusi, O. P.S. Bobby, Bambang Pramujati, H. C.Kis Agustin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

This paper propose the optimization of the wire electrical discharge machining (WEDM) process of SKD61 tool steel (AISI H13). The use of the Taguchi method combined with grey relational analysis and fuzzy logic has been applied for optimization of multiple quality characteristics. The WEDM machining parameters (arc on time, on time, open voltage, off time and servo voltage) were optimized with considerations of multiple performance characteristics, i.e., MRR, SR and kerf. Arc on time was set at two different levels while the other four were set at three different levels. Based on Taguchi method, an L18 mixed-orthogonal array was chosen for the experiments. Experimental results have shown that machining performance characteristics of WEDM process can be improved effectively through the combination of Taguchi method and greyfuzzy logic.

Original languageEnglish
Title of host publicationAdvances in Applied Mechanics and Materials
Pages523-528
Number of pages6
DOIs
Publication statusPublished - 2014
EventInternational Conference on Mechanical Engineering, ICOME 2013 - Mataram, Lombok, Indonesia
Duration: 19 Sept 201321 Sept 2013

Publication series

NameApplied Mechanics and Materials
Volume493
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

ConferenceInternational Conference on Mechanical Engineering, ICOME 2013
Country/TerritoryIndonesia
CityMataram, Lombok
Period19/09/1321/09/13

Keywords

  • Fuzzy logic
  • Grey relational analysis
  • SKD61
  • Taguchi
  • WEDM

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