Title :
Mixed inference combining CBR and RBR in the intellectualized CAD system of automotive welding jig
Author :
Zhang, Junhua ; Yao, Chunling
Author_Institution :
Sch. of Electromech. & Automotive Eng., Yantai Univ., Yantai, China
Abstract :
A knowledge-based intellectualized CAD system of automotive welding jig is proposed firstly. And then the repository that consists of process repository and design repository including design rule repository, module repository and case repository is discussed. So the method of object-oriented knowledge representation is used to construct the repository. The mixed inference combining CBR (Case-Based Reasoning) and RBR (Rule-Based Reasoning) is applied to the intellectualized design of the automotive welding jig. As a result, the knowledge-based intellectualized CAD system of automotive welding jig is developed. The initial intellectualized design of automotive welding jigs on single work station can be completed using the system.
Keywords :
CAD; automotive engineering; case-based reasoning; design engineering; production engineering computing; welding; automotive welding jig; case repository; case-based reasoning; design rule repository; intellectualized design; knowledge-based intellectualized CAD system; mixed inference combining; module repository; object-oriented knowledge representation; process repository; rule-based reasoning; Automotive engineering; Clamps; Databases; Educational institutions; Libraries; Welding; Automotive Welding Jig; CAD; CBR; RBR; Repository;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5620184
