Optimization of cutting parameters for machining time in turning process

International Conference on Mechanical Engineering, Automation and Control Systems 2017

机械制造;无线电电子学;计算机科学

Mavliutov, A.R.^1 ; Zlotnikov, E.G.^1

Saint-Petersburg Mining University, 21st line 2, Saint-Petersburg

199106, Russia^1

关键词: Augmented Lagrangians;    Cutting parameters;    Interior point algorithm;    Interior-point method;    MATLAB environment;    Non-linear constraints;    Production rates;    Simplex algorithm;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/327/4/042069/pdf
DOI  :  10.1088/1757-899X/327/4/042069

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

This paper describes the most effective methods for nonlinear constraint optimization of cutting parameters in the turning process. Among them are Linearization Programming Method with Dual-Simplex algorithm, Interior Point method, and Augmented Lagrangian Genetic Algorithm (ALGA). Every each of them is tested on an actual example-the minimization of production rate in turning process. The computation was conducted in the MATLAB environment. The comparative results obtained from the application of these methods show: The optimal value of the linearized objective and the original function are the same. ALGA gives sufficiently accurate values, however, when the algorithm uses the Hybrid function with Interior Point algorithm, the resulted values have the maximal accuracy.