A fuzzy-AHP comprehensive evaluation method for optimization design of machine tool

Author

Wang, Jinsheng ; Yao, Chunyan ; Zhang, Zhengwei

Author_Institution

Dept. of Mech. Eng., Taizhou Vocational & Tech. Coll., Taizhou, China

fYear

2010

fDate

26-28 June 2010

Firstpage

2652

Lastpage

2656

Abstract

The Analytic Hierarchy Process (AHP) can determine the weights of all assessment factors. The fuzzy-AHP comprehensive evaluation model is built in this paper to translate the multi-objective design problem into a single objective design problem. This paper takes the example for the column of XK717 CNC milling machine. The hierarchical structure is established and the weights of all assessment factors are calculated. The structural parameters of a column are taken as the design variables. The orthogonal array is designed by Taguchi method. The X, Y, Z displacements and the first three natural frequencies are calculated by the finite element method. The comprehensive scores are calculated by a fuzzy-AHP comprehensive evaluation model. The optimum combination of structural parameters is obtained and the result is satisfactory. It shows that the fuzzy-AHP comprehensive evaluation model is an effective method.

Keywords

Taguchi methods; decision making; finite element analysis; fuzzy set theory; milling machines; optimisation; Taguchi method; analytic hierarchy process; finite element method; fuzzy AHP comprehensive evaluation method; machine tool; milling machine; multiobjective design; optimization design; orthogonal array; structural parameter; Computer numerical control; Design automation; Design methodology; Design optimization; Machine tools; Machining; Manufacturing automation; Mechanical engineering; Metalworking machines; Structural engineering; comprehensive evaluation; dynamic design; fuzzy-AHP; machine tool; optimization design;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-7737-1

Type

conf

DOI

10.1109/MACE.2010.5536658

Filename

5536658