A novel method for design cases indexing and retrieval

Author

Xu-tang Zhang ; Xin Hou ; Tian-Guo Jin

Author_Institution

Sch. of Mechatron., Harbin Inst. of Technol., Harbin

fYear

2008

fDate

2-5 July 2008

Firstpage

1093

Lastpage

1097

Abstract

Case based design is an effective method to reuse existing resources in an enterprise. The similarity between 3D models of parts is measured by shape distribution method. Fuzzy c-means clustering algorithm is applied to classify products 3D models. The classes of 3D model form high dimension Euler space and the vector space model is used to represent the product case. The process to construct product case database and to retrieve the product is presented. Through experiments, it is proved that the method can promote the degree of automation and retrieval accuracy in Case based design when applying to special field.

Keywords

CAD; database indexing; fuzzy set theory; information retrieval; pattern classification; pattern clustering; product design; production engineering computing; solid modelling; Euler space; case based design; design case indexing; design case retrieval; fuzzy c-means clustering; part 3D model; product 3D model classification; product case database; product design; shape distribution method; vector space model; Artificial intelligence; Clustering algorithms; Design automation; Design methodology; Indexing; Information retrieval; Mechatronics; Shape measurement; Space technology; Spatial databases; 3D model clustering; case based design; shape matching; vector space model;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Intelligent Mechatronics, 2008. AIM 2008. IEEE/ASME International Conference on

Conference_Location

Xian

Print_ISBN

978-1-4244-2494-8

Electronic_ISBN

978-1-4244-2495-5

Type

conf

DOI

10.1109/AIM.2008.4601814

Filename

4601814