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Comparative assessment of cooling conditions, including MQL technology on machining factors in an environmentally friendly approach

  • Mourad Nouioua*
  • , Mohamed Athmane Yallese
  • , Riad Khettabi
  • , Salim Belhadi
  • , Tarek Mabrouki
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Manufacturers need to continuously improve productivity and reduce the most disadvantages. In the current work, an experimental study has been carried out in order to evaluate the influence of different cutting parameters on the various machining factors such as surface roughness, cutting force, cutting power, metal removal rate, and tool wear during turning of X210Cr12 steel using a multilayer-coated tungsten carbide insert with various nose radii (r). Tests are designed according to Taguchi’s L18 (21 × 34) orthogonal array. ANOVA has been performed to determine the effect of the cutting conditions, and mathematical models have been developed through response surface methodology (RSM). The results indicate that the feed rate and the tool nose radius are the main affecting factors on surface roughness while both tangential force and cutting power are affected mainly by the depth of cut followed by the feed rate and the nose radius. Other special tests of long term have been established in order to study the wear evolution and consequently to determine the tool life. The results indicate also that minimum quantity lubrication (MQL) leads to an important improvement in terms of the cutting tool life by a gain of 23~40% compared to wet and dry machining. It has been found that the MQL is an interesting way to minimize lubrication cost and protect operator health and the environment while keeping better machining quality.

Original languageEnglish
Pages (from-to)3079-3094
Number of pages16
JournalInternational Journal of Advanced Manufacturing Technology
Volume91
Issue number9-12
DOIs
StatePublished - 1 Aug 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017, Springer-Verlag London.

UN SDGs

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

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • ANOVA
  • Green process
  • MQL
  • Surface roughness
  • Taguchi design
  • Tool wear

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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