Energy optimisation for the combination of turning and drilling features using differential evolution

  • Luoke Hu
  • , Pai Zheng
  • , Peiji Liu
  • , Shun Jia
  • , Wei Cai
  • , Kangkang Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Cutting parameter optimisation is an effective way to realise energy-efficient machining. In previous studies, the cutting parameters of machining features of turning, milling, grinding, drilling, hobbing, and threading were optimised to decrease energy consumed by machine tools, and considerable energy savings were achieved. However, the energy consumption (EC) for each feature was separately optimised without systematic consideration of the negative effects on the EC for other features. The total EC for all features together probably increases. Hence, the trade-off amongst the reductions of EC for each feature needs to be jointly optimised. In our study, the external turning and drilling features are selected as examples to be combined. As a key novel contribution, we propose the integrated dimensional and cutting parameter optimisation problem about minimising the EC of Machine Tools for the combination of Turning and Drilling features (EMT-TD). In terms of optimisation, differential evolution (DE) is adopted to minimise the EMT-TD. According to case studies, DE obtained the optimal solutions within a computation time of 1 second. The optimal solutions achieved savings of 5.41%, 10.85%, and 7.19% of EMT-TD and savings of 2.23%, 5.90%, and 2.73% of machining time for three typical cases, respectively.

Original languageEnglish
Pages (from-to)125846-125865
Number of pages20
JournalEnvironmental Science and Pollution Research
Volume30
Issue number60
DOIs
Publication statusPublished - Dec 2023

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

Keywords

  • Combination of features
  • Cutting parameters
  • Differential evolution
  • Energy optimisation
  • Machine tool
  • Sustainable machining

ASJC Scopus subject areas

  • Environmental Chemistry
  • Pollution
  • Health, Toxicology and Mutagenesis

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