Optimisation of Process Parameters in Hard Turning of Aisi 5150 Steel by Anova
S. Veerendra Prasad1, B. V. R. Ravi Kumar2, V. V. Subba Rao3

1S. Veerendra Prasad, Assistant Professor, Department of Mechanical Engineering, Samskruti College of Engineering and Technology, Ghatkesar (Telangana), India.
2Dr. B. V. R. Ravi Kumar, Professor, Department of Mechanical Engineering, V. N. R. Vignana Jyothi Institute of Engineering and Technology, Bachupally, Hyderabad (Telangana), India.
3Dr. V. V. Subba Rao, Professor, Department of Mechanical Engineering, Jawaharlal Nehru Technological University, Kakinada (Andhra Pradesh), India.

Manuscript received on 24 September 2018 | Revised Manuscript received on 30 September 2018 | Manuscript published on 30 November 2018 | PP: 108-110 | Volume-7 Issue-4, November 2018 | Retrieval Number: E1808017519©BEIESP
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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: In the present study, an attempt has been made to hard turn AISI 5150 steel using uncoated TiC inserts. Round bar stock of AISI 5150 steel was hardened to 48 HRC by oil quenching. Three different process parameters Speed, feed and depth cut were chosen at three different levels. The parameter combinations were chosen according to L9 orthogonal array to limit the number of experiments to nine instead of twenty seven. ANOVA is performed on the results of surface finish obtained for 9 experiments parameter combination chosen. The percentage contribution of the factor feed towards the response i.e., surface roughness is 51.19%, followed by depth of cut 24.07% and finally by speed 15.01%.The main effect plots for means were generated between process parameters and surface roughness an optimum process parameters were chosen and confirmation experiment was performed on the selected optimum process parameters.
Keywords: AISI 5150 steel, ANOVA, Hard turning, Surface roughness.

Scope of the Article: Process and Workflow Management