Development of A New Technique for Modeling and Optimizing Manufacturing Errors for Cn Machine Tools

被引：0

作者：

Farouk, Messaoud ^{[1
]}

Mohamed, Rahou ^{[2
]}

Fethi, Sebaa ^{[1
]}

机构：

[1] Univ Technol, Dept Mech Engn, Lab Ingn Syst Mecan & Mat, BP 230, Tilimsen 13000, Algeria

[2] Higher Sch Appl Sci Tlemcen, Dept Mech Engn, BP 165 RP Bel Horizon, Tilimsen 13000, Algeria

来源：

JORDAN JOURNAL OF MECHANICAL AND INDUSTRIAL ENGINEERING | 2020年 / 14卷 / 04期

关键词：

Manufacturing tolerances; Goal programming; Machining errors; Cubic spline interpolation; Genetic algorithm; GEOMETRIC ERRORS; 5-AXIS MACHINE; NEURO-FUZZY; COMPENSATION; IDENTIFICATION; PREDICTION;

D O I：

暂无

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper presents a new technique for optimizing manufacturing tolerances. This technique is based on the combination of two methods, the goal programing method and the genetic algorithm. Firstly, cubic splines interpolation is used to describe machining errors by a set of cubic polynomials. Tool path error, table motion error and tool wear error are considered in this study. Then, based on the goal programming method, the optimization problem is established. In order to avoid weighting effects in the objective functions, we used a genetic Non-dominated Sorting Genetic Algorithm (NSGA) for the resolution of the objective programming problems. A description of optimization processes based on NSGA is presented, and some of the genetic operators are explained. As a result, zero percent rejection of machining parts are obtained by this method. In this study, only three type of machining errors are considered. (C) 2020 Jordan Journal of Mechanical and Industrial Engineering. All rights reserved

引用

页码：381 / 386

页数：6

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