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Energy efficiency optimization of turning conditions using taguchi method grey analysis

  • Jihong Yan*
  • , Lin Li
  • *Corresponding author for this work

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

Abstract

Reducing energy usage is an essential consideration in sustainable manufacturing. This paper presents a multi-objective optimization model based on the trade-offs between sustainability, productivity and machining quality, which aims for reducing the cutting energy in machining processes. Three objectives, surface roughness, material removal rate and energy consumption, are simultaneously optimized. Additionally, a method to determine the weight factors is proposed to calculate grey relational grade of multiple responses. Experiment used Taguchi design method was performed to verify the optimization model and promising results reducing the energy consumption of machining processes were achieved.

Original languageEnglish
Title of host publicationApplied Sciences and Engineering
Pages316-320
Number of pages5
DOIs
StatePublished - 2012
Externally publishedYes
EventInternational Conference on Mechanical Science and Engineering, ICMSE 2012 - Beijing, China
Duration: 20 Jul 201222 Jul 2012

Publication series

NameApplied Mechanics and Materials
Volume197
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

ConferenceInternational Conference on Mechanical Science and Engineering, ICMSE 2012
Country/TerritoryChina
CityBeijing
Period20/07/1222/07/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Energy consumption
  • Grey relational analysis
  • Optimization
  • Sustainable machining
  • Taguchi method

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