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