Solving Task of Multi-Intelligence Agents on Energy Model with Spline Finite Strip Method in Cold Forming

2013 ◽  
Vol 401-403 ◽  
pp. 882-885
Author(s):  
Jun Cai Zhang

Spline finite strip method is the basic theory to analyze the cold-bending formation. Based on principle of virtual work by spline finite strip method, energy model of strip element was established. The qualitative forming factors which are difficult to quantify, and the constraint conditions to form model were given into information description. Combing with specialist experience, solving task system of multi-Agent was established. By amending the Agent of knowledge containers and social relationships, every random factor influencing on forming quality effected objectively in the multi-Agent systems based on the changing environment. Then, the formation of dynamic task is solved. This work can provide theoretical guidance for complex design of steel in roll pass.

2013 ◽  
Vol 662 ◽  
pp. 657-660
Author(s):  
Jun Cai Zhang ◽  
Qing Guo Chen

Spline finite strip is the common theoretical analysis method to sheet materials. On the mechanism of cold forming, using spline finite strip theory, characteristic line connection and characteristic finite strip are to build on the reasonableness. Ignored a number of uncertainties, avoided "massive" data, this model simplifies the boundary conditions, improving the system agility. The qualitative factors which are difficult to establish mathematical expression in forming, and the constraint conditions to form model, were tranformed into information description. Combing with specialist experience, solving task system of multi-Agent was established. Then, the dynamic task can be solved by intelligent Agent. This work can provide theoretical guidance for research to sheet materials forming.


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