Optimization of Cutting Parameters for Various Work-Tool Combinations in Turning Operation: An Experimental Investigation

  • G. Bharath Reddy Asst. Professor, CVR College of Engineering/Mechanical Department, Hyderabad, India
  • G. Naveen Kumar Assoc. Professor, CVR College of Engineering/Mechanical Department, Hyderabad, India

Abstract

In the present research work the output responses Material Removal Rate (MRR) and Surface Roughness (SR) are studied and analyzed by varying the turning parameters like cutting speed, feed and depth of cut. The conventional turning of Stainless steel, Normalized steel and Aluminium work materials is carried out by using different cutting tool inserts. The data was compiled into MINITAB ® 17 for analysis. Design of Experiments (DOE) was conducted to analyze the impact of cutting parameters on the Material Removal Rate (MRR) and Surface Roughness (SR) by using Taguchi method. By conducting Analysis of Variance (ANOVA) the results are optimized to determine minimum surface roughness and maximum MRR. Response Surface Optimizer was used for obtaining optimum settings to carry out the machining operations effectively.

Published
2018-09-04
Issue
Vol 14 (2018): CVR Journal of Science and Technology
Section
Articles

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