Multi objective Optimization of Turning Process Parameters at Different Conditions of Coolant Flow Rate
K. Srinivas1, G. Gopinath2, A. Saikumar3, Md. Rafeeq Ur Rahman4, T. Venkateshwar Rao5
1K.Srinivas, Asst. Professor, Department of Mechanical Engineering JB Institute of Engineering & Technology, Hyderabad Telangana, India.
2G.Gopinath*, Asst. Professor, Department of Mechanical Engineering JB Institute of Engineering & Technology, Hyderabad Telangana, India.
3A. Saikumar, Asst. Professor, Department of Mechanical Engineering JB Institute of Engineering & Technology, Hyderabad Telangana, India.
4Md. Rafeeq Ur Rahman, Asst. Professor, Department of Mechanical Engineering JB Institute of Engineering & Technology, Hyderabad Telangana, India,
5T.Venkateshwar Rao, M. Tech Scholar, Department of Mechanical Engineering, JB Institute of Engineering & Technology, Hyderabad, Telangana, India.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3109-3113 | Volume-8 Issue-12, October 2019. | Retrieval Number: K15830981119/2019©BEIESP | DOI: 10.35940/ijitee.K1583.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: AA6064 is the most used nickel based super alloy. It is having high material strength, hardness and resistance to corrosion with good creep resistance. These properties in AA6064 is an attractive material and it is most commonly used in aerospace, gas turbine, marine and oil industries In this project machining of AA6064 is considered for the study. In these works three factors, cutting Speed (N), DOC (d), feed rate (f) are considered as parameters and their effect on metal removal rate (MRR) and surface roughness (SR) is studied through experimental investigation. The search for the optimal limited number of experimental runs, Taguchi’s orthogonal array L9 is used. In this three factors with three levels are considered to conduct the experiments and these experiments are conducted with three different conditions of coolant. Totally 27 experiments are conducted. Grey relational analysis employed to identify optimal combinational of process parameter values that minimize the surface roughness and maximize the metal removal rate.
Keywords: CNC Turning, MRR, SR, Coolant Flow Rate, Grey Relational Approach
Scope of the Article: Discrete Optimization