Investigation on the Multi-Objective Optimization of Machining Parameters and Prediction for EN Series Materials

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.

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Publication Details

Journal
Engineering Technology & Applied Science Research
Published
2024-10-09
DOI
https://doi.org/10.48084/etasr.7953
Citations
3
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
1.05
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article

Investigation on the Multi-Objective Optimization of Machining Parameters and Prediction for EN Series Materials

Rupal Vyasa, G Pavithra, Chandrakant Sonawane, Nageswara R. Lakkimsetty et al.
3 citations
Engineering Technology & Applied Science Research
Manufacturing Process and Optimization
1.05
article

Investigation on the Multi-Objective Optimization of Machining Parameters and Prediction for EN Series Materials

Rupal Vyasa, G Pavithra, Chandrakant Sonawane, Nageswara R. Lakkimsetty, Pragnesh K. Brahmbhatt
article en
3 citations

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.

Engineering Technology & Applied Science ResearchVol. 14(5)
Symbiosis International University (IN), Gujarat Technological University (IN), American University of Ras Al Khaimah (AE), Dr. Hari Singh Gour University (IN)
Decent work and economic growth
Openalex Percentile: Top 20%
Manufacturing Process and Optimization
1.05
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Investigation on the Multi-Objective Optimization of Machining Parameters and Prediction for EN Series Materials — Rupal Vyasa, G Pavithra, et al. · Engineering Technology & Applied Science Research (2024) | TGRS Research Map | TGRS