DocumentCode
2249099
Title
A NN-based expert system for the forging design of steering knuckles
Author
Cheng, Lianjun ; Zhao, Guoqun ; Zou, Rongguo ; Zhang, Tiezhu
Author_Institution
Sch. of Mech. & Electron. Eng., Qingdao Univ., Qingdao, China
fYear
2011
fDate
17-19 Sept. 2011
Firstpage
352
Lastpage
355
Abstract
Basic architecture, knowledge express and reasoning mode of the NN-based (neural network based) expert system are studied in this paper. The design theories, experience knowledge of the forging process and artificial intelligence technology are unified to develop the FDesign-SK (Expert system for the forging design of the steering knuckle) software. The experiential knowledge extracted from kinds of forging samples of steering knuckles is stored in this system. The framework of the system is modularization, which makes the interface operate easily. FDesign-SK is a system of opening design and good self-training function. Therefore, the training samples could be expanded to improve forecast accuracy and stability of the system. The forging design of steering knuckles assisted with FDesign-SK could shorten development period, lower cost and reduce workload of the designer.
Keywords
automobile industry; automotive components; expert systems; forging; neural nets; steering systems; FDesign-SK; NN-based expert system; artificial intelligence; basic architecture; forging design; knowledge express; neural network; reasoning mode; steering knuckles; Artificial neural networks; Biological neural networks; Cognition; Expert systems; Process design; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Cybernetics and Intelligent Systems (CIS), 2011 IEEE 5th International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-61284-199-1
Type
conf
DOI
10.1109/ICCIS.2011.6070354
Filename
6070354
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