DocumentCode
479749
Title
Intelligent Design of Series Product Based on Template Case
Author
Yixiang Fang ; Enfu Liu ; Jiangyan Jin ; Lanzhi Gu ; Zheng, Jinduo
Author_Institution
Coll. of Mech. & Electron. Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang
Volume
1
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
243
Lastpage
250
Abstract
The application of CAD and artificial intelligence technology, which adopts reasonable CBR realization mode, meets industry practice and design habit of designer, and can support product design process effectively, and is a very practical realization way of automotive and rapid design of series product. It is a very important research of CAD and artificial intelligence technology to improve practicality and effectiveness of CBR. In view of structure and design characteristics of series mechanical product, Combining CBR technology with product design process and adopting the oncology and object-oriented method, the product template case based on design unit and integrated knowledge model are constructed. According to the template case of specific mechanical product, the principle of case retrieve and reuse is defined, and design process model and process navigation mechanism of specific product are built. Intelligent design of series product based on template case is realized.
Keywords
CAD; artificial intelligence; case-based reasoning; object-oriented methods; product design; production engineering computing; CAD; artificial intelligence; case based reasoning; intelligent design; object-oriented method; product template case; series product; Artificial intelligence; Chemical technology; Design automation; Educational institutions; Mechanical products; Navigation; Object oriented modeling; Pharmaceutical technology; Process design; Product design; CBR; Design unit; Intelligent design; Series mechanical product; Template case;
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.2008.672
Filename
4721735
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