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ABSTRACT
Machining of present days superior engineering materials is still a challenging task before industries, as conventional machining processes have proven to be inefficient to process these materials. In order to meet challenges, numerous processes with innovative mechanism of material removal have come into existence. Electrical discharge machining (EDM) is one among many such processes that has got wide attention. However, EDM results in very poor material removal and requires very high specific energy as compared to conventional machining processes. Electrical arc machining (EAM) is a process, which is very similar to EDM but results in very high material removal rate (MRR).
In the present research, an innovative process known as vibration-assisted electrical arc machining has been developed. The process has been used to machine aluminium-boron carbide metal matrix composite. Peak current, frequency of vibration and dielectric flushing velocity has been considered as input control factors to evaluate MRR and surface roughness (SR). An artificial intelligence (AI)-based approach has been applied for single objective optimisation for MRR and SR. The AI-based approach results in an improvement of approximately 230 and 50% in MRR and SR, respectively.
Disclosure statement
No potential conflict of interest was reported by the authors.
Additional information
Notes on contributors
Shrihar Pandey
Mr. Shrihar Pandey did his B.Tech. from Vindhya Institute of Technology and Science Satna (M.P.), India and M.Tech. from National Institute of Technology, Jalandhar, Punjab, India. Presently he is pursuing his Ph.D. from AKS University, Satna (M.P.).
Pankaj Kumar Shrivastava
Dr. Pankaj Kumar Shrivastava did his M.Tech. from IIT Delhi, New Delhi, India and Ph.D. from National Institute of Technology, Allahabad (U.P), India. Presently he is working as Professor in the department of Mechanical Engineering, AKS University, Satna (M.P.), India. He has about 14 years of teaching experience at various Institutes in India. He is life time member of Institution of Engineers (India). His area of interest is electrical discharge machining, nonconventional machining processes, design of experiment applications in manufacturing processes and applications of artificial intelligence in advanced machining processes. He is a member of editorial boards of some refereed international journals and also reviewer of many refereed international journals of repute.
Shivam Dangi
Shivam Dangi did his B.Tech. from AKS University, Satna (M.P.), India. Presently he is pursuing his M.Tech. from AKS University, Satna (M.P.).
Pushpendra Singh
Dr. Pushpendra Singh did his M.Tech. as well as Ph.D. from RGPV, Bhopal (M.P.), India. Presently he is working as Assistant Professor in Rajkiya Engineering College, Banda-210201, Uttar Pradesh, India.