Optimum combination of machining parameters during drilling of Aluminium 7075 alloys using Grey based Taguchi approach

  • Reddy Sreenivasulu Department of Mechanical Engineering , R. V. R. & J. C. College of Engineering (Autonomous), Guntur, Andhra Pradesh, India https://orcid.org/0000-0002-7442-7141
  • Ch. Srinivasa Rao Department of Mechanical Engineering, University College of Engineering (Autonomous), Andhra University, Visakhapatnam, India https://orcid.org/0000-0002-9683-8339
Keywords: Drilling, Burr size, Surface roughness, Roundness error, Thrust force, Torque, Taguchi method, Grey relational analysis

Abstract

From ancient days to till today manufacturing industries, especially making of holes on the parts during drilling process for precision assembling of parts facing problems with burr formation. Drilling operation is one of the finishing operation in the production cycle, removing of burrs during drilling process is a time consuming and non-value added process to the manufacturing sector. So reducing the size of burrs is the main aim of the present study. In the present work, optimization of burr size is considered during drilling of aluminium 7075 alloy. From Grey relational grades of responses selected optimal combination of parameters to attain multiple performance characteristics of responses with a corresponding higher grey relational grade. For identifying the most significant input parameters that influence the output responses ANOVA is conducted. Finally, observations reveals that feed rate, point and clearance angles are the most influential factors on burr size and also experimental results divulge that the lower the thrust force causes to decrease the burr height. The proposed approach is helpful to the budding entrepreneurs in the related areas to select optimal combination of drilling parameters to attain multiple performance characteristics of responses especially in burr size to prevent the post finishing operations. 

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Author Biographies

Reddy Sreenivasulu, Department of Mechanical Engineering , R. V. R. & J. C. College of Engineering (Autonomous), Guntur, Andhra Pradesh, India

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Reddy Sreenivasulu is Assistant Professor in the department of Mechanical Engineering, R.V.R & J.C College of Engineering (A) Guntur, Andhra Pradesh, India. He received Ph.D degree from Andhra University, Visakhapatnam in the year 2018, M.E degree from the Osmania University, Hyderabad in the year 2003 and B.Tech Mechanical Engineering from Regional Engineering College Warangal in the year 1997. He has 19 years of teaching experience. His area of research interest includes design of experiments, robotics, modeling and analysis of manufacturing processes and optimization. He has published more than 60 research papers in the international journal/conferences proceedings and acting as a reviewer for a peer reviewed referred journals.

Ch. Srinivasa Rao, Department of Mechanical Engineering, University College of Engineering (Autonomous), Andhra University, Visakhapatnam, India

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Ch. Srinivasa Rao is a professor in Mechanical Engineering Department of Andhra University College of Engineering, Visakhapatnam. He guided more than 10 research scholars and several Post Graduate students in various domains of Mechanical Engineering. He published more than 150 national and International journals with high eminence.

Published
2020-12-10
How to Cite
Sreenivasulu, R. and Rao, C. (2020) “Optimum combination of machining parameters during drilling of Aluminium 7075 alloys using Grey based Taguchi approach”, Journal of Mechanical and Energy Engineering, 4(3), pp. 227-238. doi: 10.30464/jmee.2020.4.3.227.
Section
Mechanical Engineering