Eventos Anais de eventos
COBEM 2019
25th International Congress of Mechanical Engineering
Multi-objective optimization of cutting parameters in the SAE 4340 steel turning process
Submission Author:
Augusto Campidelli , MG
Co-Authors:
Augusto Campidelli, Marco Antonio Bonelli Junior, Bernardo Murta, Bruno Silva de Lima
Presenter: Augusto Campidelli
doi://10.26678/ABCM.COBEM2019.COB2019-0293
Abstract
In recent years, maximizing production efficiency in machining operations has been an important topic in the manufacturing industry. To achieve this goal, organizations usually increase the production rate, decrease the operational costs and improve the production quality. These activities can be affected by different factors such as machine tool conditions, cutting tool geometry, workpiece material and cutting parameters. Among these factors, the cutting parameters present important influence on the operation quality and are easily manipulated by the user. Therefore, the determination of optimal values for these parameters is important for planning an economically competitive process. In the light of these facts, this paper addresses the problem of multi-objective optimization of the SAE 4340 steel turning process. The objective functions seek a minimum cutting tool wear and a maximum material removal rate, subject to the constraints imposed by the cutting temperature and workpiece surface roughness. To solve this optimization problem, the generalized reduced gradient method and particle swarm optimization method were used. Despite the distinct nature of the techniques employed, both were able to converge to the optimal solution of the problem.
Keywords
Turning, Optimization, Cutting parameters, reduced gradient, Particle Swarm Optimization
