Effective application of turning technology necessities the determination of optimal turning process parameter values. Turning process optimization is an active field of research where different optimization algorithms and methods are being applied to solve different single and multi-objective optimization problems. This paper focuses on some aspects of turning optimization regarding the analysis of main parameters values that can be achieved on a given lathes as well as suggesting the application of discrete optimization methods, i.e. brute-force iterative search algorithm and its hybridization with the epsilon-constraint method for solving and multi-objective turning optimization problems, i.e. Pareto optimization problems. The optimization solutions obtained by previous researchers using different optimization algorithms and optimization solutions obtained by the proposed optimization approach were compared and discussed.
Production and Computer-Aided Technologies