Optimization of magnetic field assisted finishing process during nanofinishing of titanium alloy (grade-5) implant using soft computing approaches

ABSTRACT

The present study explores the potential of magnetic field assisted finishing (MFAF) in precise finishing of femoral knee implant made of bio-titanium alloy at the nanometric level. The process parameters, viz. rotational speed of tool, feed rate and carbonyl iron particle (CIP) concentration of MFAF have significant influence on the final surface topography of implants and thus selection of optimal set of their values is a difficult but an important task. In the present work, central composite rotatable design of response surface methodology is considered for nanofinishing of titanium alloy based femoral knee implants. Based on the experimental results, a polynomial regression prediction model for surface roughness is established in terms of MFAF process parameters. The fuzzy logic model with the help of ANOVA analysis is employed to analyze the effect of individual and interaction of parameters on surface roughness of implants. Finally, for further optimizing the final surface roughness of knee implant and determining the best settings of MFAF parameters, an improved salp swarm algorithm (ISSA) is proposed by introducing two important enhancements in basic SSA. The results reveal that SSA and ISSA metaheuristics achieved an improvement in final surface finish of knee implant by 4.04% and 14.24%, respectively, in comparison to default experimental trials during finishing.

KEYWORDS:

• Nanofinishing
• femoral knee implant
• magnetic field assisted finishing process
• fuzzy logic
• improved salp swarm algorithm

Acknowledgments

The authors acknowledge Science & Engineering Research Board (SERB), New Delhi, India, for their financial support for project no. EEQ/2017/000597 entitled “Fabrication of Prosthetic Implants and further Nanofinishing Using Magnetic Field Assisted Finishing (MFAF) Process”.

Disclosure statement

The authors declare that they have no conflict of interest.

Additional information

Funding

This work was supported by the Science & Engineering research board (SERB), New Delhi, India [EEQ/2017/000597].

Notes on contributors

Anwesa Barman

Anwesa Barman: Dr. Anwesa Barman has completed his Ph.D. from IIT Guwahati in the field of Nanofinishing of freeform surface using magnetic field assisted finishing (MFAF) process. She is a passionate mechanical engineer focusing on design and analysis for product development using FEA and CAD tools along with soft computing and optimization. She is active reviewer of many SCI/scopus Journals. Currently, she is working as an Assistant Professor in Department of Mechanical Engineering, Manipal University Jaipur.

Manas Das

Manas Das: Dr. Manas Das is working as an Associate Professor in Mechanical Engineering department at IIT Guwahati. He did his bachelors of engineering from Jadavpur University in 2001. He has completed his Ph.D. from IIT Kanpur in Manufacturing science. He was awarded with “AM Strickland Prize” in 2012.He has authored more than 60 articles in reputed Journals and conferences. He is also active reviewer of many SCI Journals. His research interest includes advanced finishing, micromaching, tribology etc.

Vimal Kumar Pathak

Vimal Kumar Pathak: Dr. Vimal Kumar Pathak is currently working as an Assistant Professor in the Department of Mechanical Engineering at the School of Automobile, Mechanical & Mechatronics Engineering in Manipal University Jaipur. He has been awarded Ph.D. from MNIT Jaipur in the field of integration of Reverse engineering, GD&T and additive manufacturing. His major areas of research include Optimization, Artificial intelligence techniques, Metrology, Additive manufacturing, He has authored more than 50 articles in reputed Journals and conferences. He is currently reviewer of many SCI Journals.