利用CFD模拟和ANN模型对A357铝合金大型复杂构件淬火槽内介质流场分布的优化设计

摘要

Based on the computational fluid dynamics (CFD) method,a quenching tank with two agitator systems and two flow-equilibrating devices was selected to simulate flow distribution using Fluent software.A numerical example was used to testify the validity of the quenching tank model.In order to take tank parameters (agitation speed,position of directional flow baffle and coordinate position in quench zone) into account,an approach that combines the artificial neural network (ANN) with CFD method was developed to study the flow distribution in the quenching tank.The flow rate of the quenching medium shows a very good agreement between the ANN predicted results and the Fluent simulated data.Methods for the optimal design of the quenching tank can be used as technical support for industrial production.%基于计算流体动力学(CFD)的方法,建立具有两个搅拌系统和两个稳流装置的淬火槽模型,使用Fluent软件对槽内介质的流场分布进行模拟计算.采用文献中的淬火槽内介质流场模拟及实验验证了研究模型的有效性.为了综合考虑搅拌速度、定向流挡板的位置及槽内有效淬火区的位置等因素对介质流场的影响,采用CFD方法与人工神经网络(ANN)相结合的方法对淬火槽内流场的分布进行了研究.结果表明,人工神经网络预测的槽内介质流场大小与Fluent模拟结果非常吻合.这种淬火槽的优化设计方法,可对实际工业生产提供技术支持.