DocumentCode :
1960072
Title :
Research on Evaluation of Parts Manufacturability Based on Feature
Author :
QingMing, Fan ; Geng, Liu ; Hongjun, Liu
Author_Institution :
Sch. of Mechatron., Northwestern Polytech. Univ., Xi´´an
Volume :
3
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
477
Lastpage :
480
Abstract :
Part manufacturability based on feature was analyzed in detail. A system framework of design for manufacturing (DFM) was proposed. An evaluation system for part manufacturability feature-based and a definition model of part feature-based were established. The evaluation method for part manufacturability feature-based is intended to present in this paper. Author points out that the evaluation is typical decision making process of multiple levels. Two methods are proposed that are qualitative evaluation of product machinability base on rule of manufacturing restriction and quantitative evaluation of product machinability base on fuzzy judge of integrative and solutions are given. Using above research method, product design can be guided according to feedback information by evaluating the part manufacturability. Finally an example of rabbet-feature manufacturability of a turbine blade was given to show the method available and practicable.
Keywords :
blades; decision making; design for manufacture; machinability; machinery production industries; turbines; decision making process; design for manufacturing; fuzzy judge; parts manufacturability; product machinability; rabbet-feature manufacturability; turbine blade; Blades; Computer aided manufacturing; Concurrent engineering; Design automation; Design for manufacture; Manufacturing processes; Mechatronics; Product design; Shape; Virtual manufacturing; Evaluation; feature technology; manufacturability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.1220
Filename :
4722387
Link To Document :
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