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Monday, November 1, 2010

Curing temperature finite element analysis and optimization

As computer science and technology and the rapid development of numerical techniques, finite element analysis in the application of complex engineering structures showed more significant role. In this paper, 11.00R22.5 steel radial truck tire as the research object, the thermal parameters of the rubber to the determination of curing temperature finite element analysis, and feature points within the tire curing temperature measurement, comparative analysis of finite element analysis results show that the correct of, in this based on the tire curing process has been optimized to provide for improved tire curing process, and rubber formulation to provide a viable frame of reference. Laser-type thermal diffusion method of LFA447 instrument on the tire rubber material used in the thermal properties of the experimental data, regression analysis, the thermal diffusivity, thermal conductivity and specific heat with temperature relationship. Using differential calorimetry (DSC) techniques to measure the rubber vulcanization process of curing reaction heat, the tire curing temperature provide a basis for numerical simulation. Established 11.00R22.5 radial truck tire curing temperature field finite element analysis model. To verify the correctness of the model, the internal characteristics of the tire temperature test points, the experimental results and finite element analysis showed a good consistency, curing temperature field simulation technology that can reflect the actual situation of the tire curing. Using Arrhenius equation, tire curing degree, to improve the curing degree of uniformity of purpose, and orthogonal experimental design, neural network and genetic algorithm modeling and optimization technology, a tire curing optimization method. Foreign tire curing process to optimize the boundary conditions of temperature and steam to improve the degree of uniformity of the tire curing and shorten the curing time. 

Key words: tire; curing temperature; experimental analysis; numerical analysis; Optimization

 

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