Transactions of the Indian Institute of Metals

, Volume 72, Issue 1, pp 191–204 | Cite as

An Efficient Approach to Optimize Wear Behavior of Cryogenic Milling Process of SS316 Using Regression Analysis and Particle Swarm Techniques

  • M. C. Karthik Rao
  • Rashmi L. MalghanEmail author
  • S. ArunKumar
  • Shrikantha S. Rao
  • Mervin A. Herbert
Technical Paper


The present work is an endeavor to carry out a machining using LN2 in face milling operations and to produce the milling samples with excellent wear resistance property. The output response (wear rate) depends on appropriate choice of speed, feed, and depth of cut. The experimental data are conducted (collected) for SS316 as per central composite design. The present work exemplifies an employment of conventional and nonconventional strategies for optimizing the milling factors of cryogenically treated samples in face milling to achieve the desired wear (response). The results of nonlinear regression (desirability strategy) and nonconventional [particle swarm optimization, (PSO)] optimization techniques are compared, and PSO is found to outperform the desirability function approach. The present work even highlights the effect and results of LN2 on wear in contrast to wet condition.


Cryogenic Optimization Conventional Nonconventional Milling Central composite design Desirability Particle swarm optimization Wear 



I would like to thank NITK, Surathkal, for providing facilities to carry out my research work.


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Copyright information

© The Indian Institute of Metals - IIM 2018

Authors and Affiliations

  • M. C. Karthik Rao
    • 1
  • Rashmi L. Malghan
    • 2
    Email author
  • S. ArunKumar
    • 3
  • Shrikantha S. Rao
    • 1
  • Mervin A. Herbert
    • 1
  1. 1.Department of Mechanical EngineeringNITKSurathkalIndia
  2. 2.Department of Computer Science EngineeringMadanapalle Institue of Technology and ScienceMadanapalleIndia
  3. 3.Department of Mechatronics Engineering, Manipal Institute of TechnologyManipal Academy of Higher EducationManipalIndia

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