DocumentCode :
1931764
Title :
Study on Integrated Fixture Design System
Author :
Chen, Guang-feng ; Sun, Yi-ze ; Liu, Wen-Jian
Author_Institution :
Donghua Univ., Shanghai
Volume :
4
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
2362
Lastpage :
2367
Abstract :
This paper presents a fixture design system which integrates generative and variant fixture design systems. A new approach for case base variant fixture design is proposed. An effective fixture similarity measure is introduced by combining template retrieval and nearest neighbour algorithm. Adaptation case modification method is provided. Element selection automation is realized by RBR and db-search program. A case study is presented to illustrate the issues and show the effectiveness of the presented system.
Keywords :
CAD/CAM; assembling; content-based retrieval; fixtures; inference mechanisms; content based retrieval; db-search program; element selection automation; fixture assembly; integrated fixture design system; nearest neighbour algorithm; rule based reasoning; template retrieval; variant fixture design; Algorithm design and analysis; Artificial intelligence; Clamps; Cybernetics; Design automation; Educational institutions; Fixtures; Job design; Machine learning; Mechanical engineering; CBR; Fixture design; Fixture planning; Fuzzy evaluation method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370540
Filename :
4370540
Link To Document :
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