Work

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

Year: 2024

Type: article

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.

Source: Engineering Technology & Applied Science Research

DOI: 10.48084/etasr.7953

Authors: Rupal Vyasa, Pragnesh Brahmbhatt, Chandrakant Sonawane, Nageswara R. Lakkimsetty, G. Pavithra

Institutions: Gujarat Technological University, Symbiosis International University, American University of Ras Al Khaimah, Dayananda Sagar College of Engineering

Language: English

Topic: Advanced machining processes and optimization

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $431

OpenAlex ID: W4403311627

FWCI: 0.54

Cites: 18

Cited by: 4

Related to: 10