Teaching-Learning Based Optimization (Tlbo) For the Process Parameters During Turning of Die Steel
Viyat Varun Upadhyay1, Anuj Kumar2, Vikas Sharma3
1Viyat Varun Upadhyay, Department of Mechanical Engineering, GLA University, Mathura (U.P), India.
2Anuj Kumar, Department of Mechanical Engineering, GLA University, Mathura (U.P), India.
3Vikas Kumar, Department of Mechanical Engineering, GLA University, Mathura (U.P), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 143-146 | Volume-8 Issue-6, April 2019 | Retrieval Number: E3065038519/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Die steel is extensively used in making die in automobile and aircraft industry. The objective of this work is to optimize the surface roughness. TLBO is used as the optimization technique for finding the suitable cutting parameter for the machining of die steel. Experiments were conducted using full factorial design. In this work effect of input parameters on surface roughness has been calculated. As turning of die steel using carbide insert is a majorly used machining operation, the result of this study would significantly contribute in optimizing the input machining parameters.
Keyword: TLBO, Die Steel.
Scope of the Article: Manufacturing Processes