Machinability analysis and hybrid optimization during wet turning of SS304 using coated tools

Neeraj Sharma, Kapil Gupta

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


In this work, SS304 has been machined using tungsten carbide tool inserts coated with multilayer of TiN/TiAlN under conventional wet cooling condition. Experiments have been conducted based on Taguchi robust technique with L9 orthogonal array. Effects of three important machining parameters cutting speed (CS), feed (F), and depth of cut (DC) on machinability aspects i.e. surface roughness (Ra) and material removal rate (MRR) have been investigated. Further, grey relational technique integrated with genetic algorithm (GA) was used for simultaneous optimization of MRR and Ra. It was observed that the optimized machining parameter setting for MRR and Ra is CS: 170 m/min; F: 0.2 mm/rev; and DC: 0.5 mm. The optimum values of MRR and Ra are 81.39 g/min and 3.14 μm respectively.

Original languageEnglish
Pages (from-to)2112-2116
Number of pages5
JournalMaterials Today: Proceedings
Publication statusPublished - 2019
Event2019 International Conference on Modern Trends in Manufacturing Technologies and Equipment, ICMTMTE 2019 - Sevastopol, Russian Federation
Duration: 9 Sept 201913 Sept 2019


  • Coating
  • Machinability
  • Stainless steel
  • Surface roughness
  • Tool wear

ASJC Scopus subject areas

  • General Materials Science


Dive into the research topics of 'Machinability analysis and hybrid optimization during wet turning of SS304 using coated tools'. Together they form a unique fingerprint.

Cite this