Optimization of Cutting Parameters to Minimize Surface Roughness in the Hard Turning Process using Particle Swarm Optimization Algorithm
| Author(s) | : | Dipeshkumar Bansilal Trivedi |
| Institution | : | Mechanical Engineering Department, Government Engineering College, Godhra, Gujarat, India |
| Published In | : | Vol. 4, Issue 12 — December 2017 |
| Page No. | : | 216-221 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Surface finish plays an important role in the manufacturing industries as it impacts on safety and reliabilityof the components being manufactured. Therefore, it is evident that the parametric optimization is important. In thispresent study, an advanced optimization technique called Particle Swarm Optimization (PSO) is used in the parametricoptimization of the hard turning of EN-31 steel. Cutting parameters such as cutting speed, feed rate, depth of cut andnose radius are optimized for the surface roughness as an objective function. The results verified the effectiveness of PSOoptimization algorithm on the hard turning process parameters.
Dipeshkumar Bansilal Trivedi, “Optimization of Cutting Parameters to Minimize Surface Roughness in the Hard Turning Process using Particle Swarm Optimization Algorithm”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 12, pp. 216-221, December 2017.
