Multiple performance characteristics optimization in the turning process of AISI H13 tool steel using Taguchi and fuzzy logic

Bobby O.P. Soepangkat, Bambang Pramujati, Bayu W. Karuniawan

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

Abstract

This paper presents the application of Taguchi's method of orthogonal array and signal to noise ratio with logical fuzzy reasoning for multiple output optimization of turning AISI H13 steel using carbide tool. The cutting parameters, i.e., cutting speed, feed rate, depth of cut and nose radius, are optimized with considerations of multiple performance characteristics such as cutting force, feed force, surface roughness and tool flank wear. Experimental results are provided to illustrate the effectiveness of this approach.

Original languageEnglish
Title of host publicationAdvances in Applied Mechanics and Materials
Pages583-588
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 logics
  • Multiple performance characteristics
  • Taguchi method
  • Turning

Fingerprint

Dive into the research topics of 'Multiple performance characteristics optimization in the turning process of AISI H13 tool steel using Taguchi and fuzzy logic'. Together they form a unique fingerprint.

Cite this