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

Jun Cai Zhang

doi:10.4028/www.scientific.net/AMM.401-403.882

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Solving Task of Multi-Intelligence Agents on...

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

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

882-885

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.882

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Online since:

September 2013

Authors:

Jun Cai Zhang

Keywords:

Cold Forming, Energy Model of Strip Element, Multi-Intelligence Agent, Pass Design, Task Solving

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References

[1] Lele Zhang. Study on Simulation Technology of Roll Forming Pipe System Based on Spline Finite Strip Method, Doctoral Thesis.

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