DocumentCode :
2259031
Title :
Fuzzy modeling to conceptual design of mechanisms based on axiomatic design
Author :
Cai, Chi-Lan ; Bai, Yue-wei ; He, Ya-Fei ; Zhang, Zhi-Ming
Author_Institution :
Sch. of Mech. & Electr. Eng., Shanghai Second Polytech. Univ., Shanghai, China
fYear :
2009
fDate :
24-27 Sept. 2009
Firstpage :
1
Lastpage :
7
Abstract :
This paper aims to study new effective modeling and reasoning techniques, concept evaluation approaches in conceptual design of mechanisms. First, the axiomatic design (AD), set theory and fuzzy logic are introduced and their relationships are analyzed from the viewpoint of application in conceptual design of mechanisms. Second, the problem space and solution space are formalized based on set theory and AD, which can be regarded as the underlying representation of design knowledge. Then the automated mapping from functional domain to physical domain is proposed. Finally, fuzzy logic based problem formulation and evaluation to reflect the imprecise nature of objectives is presented. The modeling and reasoning technique, concept evaluation approach can improve the efficiency of conceptual design of mechanisms and give new insight to realization of automated conceptual design of mechanisms.
Keywords :
fuzzy logic; inference mechanisms; knowledge representation; problem solving; set theory; axiomatic design; concept evaluation approach; design knowledge representation; effective modeling study; functional domain; fuzzy logic; fuzzy modeling; mechanisms conceptual design; physical domain automated mapping; problem space; reasoning technique; set theory; solution space; Computer aided instruction; Design engineering; Explosions; Fuzzy logic; Helium; Kinematics; Matrix decomposition; Process design; Prototypes; Set theory; Fuzzy logic; axiomatic design; conceptual design; fuzzy modeling; representation model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2009. NLP-KE 2009. International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-4538-7
Electronic_ISBN :
978-1-4244-4540-0
Type :
conf
DOI :
10.1109/NLPKE.2009.5313738
Filename :
5313738
Link To Document :
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