基于智能与仿真技术的非线性润滑系统研究

采用智能控制与软件仿真技术研究非线性气-液两相流润滑系统.利用Navier-Stocks方程建立描述系统中流体运动特性的非线性偏微分控制方程组,并利用有限体积方法对其进行离散,获得了描述系统运动规律的数学模型及边界条件.基于CFD计算流体动力学,以及RBP径向基函数神经网络算法,建立系统的仿真模型,应用该模型对系统的工作特性进行仿真研究,并与实验结果进行对比.结果表明:2种模型都能很好地仿真系统的工作特性,其结果与实验测得的结果基本一致,为系统的实际应用提供了理论研究依据.

Study on the Nonlinear Lubrication System Based on Intelligent Control and Software Simulation Technologies

The nonlinear gas-liquid two phase flow lubrication system was studied using intelligent control and software simulation technologies.The nonlinear partial differential control equations describing the fluid movement characteristics of the system were set up utilizing Navier-Stocks equation,and were dispersed utilizing the finite volume method with the purpose of describing the mathematical model and boundary condition of the system motion.Based on CFD computational fluid dynamics and RBF(radial basis function)neural network,the simulation model of the system was built to study the performance characteristics of the system,and the simulated results were compared with the experimental results.The results show that both of the models can realize good simulation of the system performance characteristics,the results of which are almost the same as those got from experiments.It provides a theoretical basis for the actual application of the system.