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随着FEM和CFD仿真手段的发展,利用仿真手段替代部分试模,预报试模的结果已成为可能。通过仿真手段可以模拟热压罐工艺过程中罐内的流场情况、温度场分布、预浸料的固化过程,以及最终工件的变形和残余应力等。而在进行了大量的虚拟仿真试验之后,则可利用神经网络建立热压罐工艺的知识库和专家系统,从而指导工装工件摆放、工装设计以及诸多工艺参数的优化,从根本上改变热压罐工艺方案的设计方式。
With the development of FEM and CFD simulation methods, it is possible to predict the results of trial-and-error by using simulation tools instead of part of the test patterns. The simulation method can simulate the flow field, the distribution of temperature field, the curing process of prepreg and the deformation and residual stress of the final workpiece during the autoclave process. After a large number of virtual simulation experiments, the neural network can be used to build the knowledge base and expert system of autoclave process, so as to guide the workpiece placement, tooling design and optimization of many process parameters to fundamentally change the hot pressing The design of can process scheme.