Investigation on the Multi-Objective Optimization of Machining Parameters and Prediction for EN Series Materials
Received: 27 May 2024 | Revised: 18 June 2024 | Accepted: 30 June 2024 | Online: 7 October 2024
Corresponding author: Rupal Vyasa
Abstract
To meet the requirements of modern Computerized Numerical Control (CNC) turning processes, it is necessary to improve efficiency, precision and surface quality while reducing negative effects such as vibration and cutting force. In an attempt to minimize vibration, surface roughness, and cutting force at the same time, this study optimizes machining settings in CNC turning of EN8. Manufacturers can find the optimal parameters by using a multi-objective optimization strategy. According to the conducted experimental validation, by reducing vibration, improving surface roughness, and minimizing cutting forces, the adjusted parameters can significantly increase productivity and quality in CNC turning operations. This research contributes to the ongoing effort to improve machining processes to meet various performance goals, for industries that rely on CNC turning.
Keywords:
multi objective optimization, EN, materials, Analysis of Variance (ANOVADownloads
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Copyright (c) 2024 Rupal Vyasa, Pragnesh Brahmbhatt, Chandrakant Sonawane, Nageswara R. Lakkimsetty, G. Pavithra
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