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VISUAL SIMULATION OF COLD ROLL-FORMING BASED ON OBJECT ORIENTED PROGRAMMING 被引量:1
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作者 ZhangLele TanNanlin +1 位作者 ZhangHuadi liucai 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2004年第1期70-72,共3页
To simulate the process of cold roll-forming process, a new method isadopted. The theoretical foundation of this method is an elastic-plastic large deformation splinefinite strip method based on object-oriented progra... To simulate the process of cold roll-forming process, a new method isadopted. The theoretical foundation of this method is an elastic-plastic large deformation splinefinite strip method based on object-oriented programming. Combined with the computer graphicstechnology, the visual simulation of cold roll-forming is completed and the system is established.By analyzing common channel steel, the process is shown and explained including theory method, modeland result display. So the simulation system is already a kind of mature and effective tool toanalyze the process of cold roll forming. 展开更多
关键词 Object-oriented programming Visual simulation Cold roll-forming Splinefinite strip method
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Effect of SEN Parameters on 3D Flow Field in Mould of Beam Blank Continuous Caster
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作者 YANGJian-wei DUYan-ping +2 位作者 SHIRong CUIXiao-chao liucai 《Journal of Iron and Steel Research(International)》 SCIE EI CAS CSCD 2004年第6期20-24,共5页
Due to the complexity of thickness and shape synthetical adjustment system and the difficulties to build a mathematical model, a thickness and shape synthetical adjustment scheme on DC mill based on dynamic nerve-fuzz... Due to the complexity of thickness and shape synthetical adjustment system and the difficulties to build a mathematical model, a thickness and shape synthetical adjustment scheme on DC mill based on dynamic nerve-fuzzy control was put forward, and a self-organizing fuzzy control model was established. The structure of the network can be optimized dynamically. In the course of studying, the network can automatically adjust its structure based on the specific questions and make its structure the optimal. The input and output of the network are fuzzy sets, and the trained network can complete the composite relation, the fuzzy inference. For decreasing the off-line training time of BP network, the fuzzy sets are encoded. The simulation results indicate that the self-organizing fuzzy control based on dynamic neural network is better than traditional decoupling PID control. 展开更多
关键词 dynamic BP network self-organizing fuzzy control encode DC mill thickness SHAPE synthetical adjustment
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