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Evaluating CNC Milling Performance for Machining AISI 316 Stainless Steel with Carbide Cutting Tool Insert

Equbal A 1 , Equbal MA 2 , Equbal MI 3 , Ravindrannair P 4 , Khan ZA 1 , Badruddin IA 5 Show all authors , Kamangar S 5 , Tirth V 5 , Javed S 5 , Kittur MI 6

Affiliations 

  • 1 Department of Mechanical Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia, New Delhi 110025, India
  • 2 Department of Mechanical Engineering, Cambridge Institute of Technology, Ranchi 835213, India
  • 3 Mechanical Engineering Section, University Polytechnic, Aligarh Muslim University, Aligarh 202001, India
  • 4 Department of Automobile Engineering, MVSR Engineering College, Hyderabad 501510, India
  • 5 Mechanical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
  • 6 Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
Materials (Basel), 2022 Nov 15;15(22).
PMID: 36431537 DOI: 10.3390/ma15228051

Abstract

The present study investigates the CNC milling performance of the machining of AISI 316 stainless steel using a carbide cutting tool insert. Three critical machining parameters, namely cutting speed (v), feed rate (f) and depth of cut (d), each at three levels, are chosen as input machining parameters. The face-centred central composite design (FCCCD) of the experiment is based on response surface methodology (RSM), and machining performances are measured in terms of material removal rate (MRR) and surface roughness (SR). Analysis of variance, response graphs, and three-dimensional surface plots are used to analyse experimental results. Multi-response optimization using the data envelopment analysis based ranking (DEAR) approach is used to find the ideal configuration of the machining parameters for milling AISI 316 SS. The variables v = 220 m/min, f = 0.20 mm/rev and d = 1.2 mm were obtained as the optimal machine parameter setting. Study reveals that MRR is affected dominantly by d followed by v. For SR, f is the dominating factor followed by d. SR is found to be almost unaffected by v. Finally, it is important to state that this work made an attempt to successfully machine AISI 316 SS with a carbide cutting tool insert, to investigate the effect of important machining parameters on MRR and SR and also to optimize the multiple output response using DEAR method.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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