Multi Response Optimization of Setting Input Variables for Getting Better Product Quality in Machining of Magnesium AM60 by Grey Relation Analysis and ANOVA

  • S. P. Sundar Singh Sivam Deptartment of Mechanical Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, India
  • Sathiya Moorthy Karuppaiah Department of Mechanical Engineering, SRM University, India
  • Bhaskar Karthik Yedida Deptartment of Mechanical Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, India
  • Jai Ram Atluri Deptartment of Mechanical Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, India
  • Shubhang Mathur Deptartment of Mechanical Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, India

Abstract

This study presents the optimization of Machining parameters on AM60 Mg alloy manufactured by Gravity Die Casting and with responses supported orthogonal array with Grey relation analysis. Focuses on the optimization of Machining input parameters using the technique to get minimum surface roughness, Minimum Tool Wear, Cutting Time, Power Requirement, Torque and Maximum MRR. A number of Machining trails were conducted based on the L9 orthogonal array on CNC machine. The experiments were performed on AM60 alloy using cutting tool of an ISO 460.1-1140-034A0-XM GC3 of 12,16 and 25 mm diameter with cutting point 140 degrees, throughout the experimental work under different cutting conditions. Grey relation analysis & ANOVA were used to work out the fore most important parameters Cutting speed, feed rate, Depth of Cut and Tool Diameter which affects the Response. The expected response and measured response are fairly close. The given model could be used to select the level of Machining parameters.

Keywords: Mg Alloy, Different Cutting conditions, Grey Relation Analysis and ANOVA
Published online
2018-02-26
How to Cite
Sivam, S. P. S. S., Karuppaiah, S., Yedida, B., Atluri, J. and Mathur, S. (2018) “Multi Response Optimization of Setting Input Variables for Getting Better Product Quality in Machining of Magnesium AM60 by Grey Relation Analysis and ANOVA”, Periodica Polytechnica Mechanical Engineering, 62(2), pp. 118-125. doi: https://doi.org/10.3311/PPme.11034.
Section
Articles