Expert system for simulation of metal sheet stamping

2009 ◽  
Vol 25 (4) ◽  
pp. 405-410 ◽  
Author(s):  
C. Álvarez-Caldas ◽  
A. Quesada ◽  
A. Gauchía ◽  
J. L. San Román
2011 ◽  
Vol 322 ◽  
pp. 98-101 ◽  
Author(s):  
Hong Ying Gong ◽  
Jin Yan Wang ◽  
Zhong Hua Zhao

Metal sheet Stamping forming is an important material forming process, especially in the automobile industry. Using the advanced FEM simulation technology, precise analysis of the metal sheet stamping forming process becomes possible, which provides the scientific evaluation of the process design and die design in sheet stamping forming. So the paper chooses a topical auto drawing part-auto indoor-still part and applied the CR340LA steel to have stamping numerical simulation test by the numerical simulation analyzing software-Dynaform. In the stamping numerical simulation test, the best binder holder force values, stamping speed values and the spring back forecast results are got. Then the springback forecast results of the numerical simulation analysis tests are applied to the actual production to overcoming the spring back effectively, and the successful products are got.


Author(s):  
A Gauchía ◽  
C Álvarez-Caldas ◽  
A Quesada ◽  
J L San Román

1993 ◽  
Vol 2 (4) ◽  
pp. 223 ◽  
Author(s):  
Wang Chengen ◽  
Zhu Jianying ◽  
Wei Zhongxin
Keyword(s):  

1987 ◽  
Vol 26 (01) ◽  
pp. 13-23 ◽  
Author(s):  
H. W. Gottinger

AbstractThe purpose of this paper is to report on an expert system in design that screens for potential hazards from environmental chemicals on the basis of structure-activity relationships in the study of chemical carcinogenesis, particularly with respect to analyzing the current state of known structural information about chemical carcinogens and predicting the possible carcinogenicity of untested chemicals. The structure-activity tree serves as an index of known chemical structure features associated with carcinogenic activity. The basic units of the tree are the principal recognized classes of chemical carcinogens that are subdivided into subclasses known as nodes according to specific structural features that may reflect differences in carcinogenic potential among chemicals in the class. An analysis of a computerized data base of known carcinogens (knowledge base) is proposed using the structure-activity tree in order to test the validity of the tree as a classification scheme (inference engine).


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