微通道散热器快速热模型构建及试验验证

Establishment and Test Verification of Fast Thermal Model for Micro-channel Radiator

随着电子设备不断朝着集成化、微型化方向发展,电子设备的热流密度不断提高,微通道散热器得到越来越广泛的应用。文中针对微通道散热器仿真速度慢且难收敛等瓶颈问题,提出了一种基于神经网络的快速热模型构建方法。首先,通过对散热系统传热过程的理论推导分析,建立可准确表征传热过程的热网络模型;然后,基于神经网络算法建立快速热模型,并将模型定制化封装;最后,搭建热模型测试系统,设计验证样件,对所建立的快速热模型进行试验验证并予以校正。经对比验证,快速热模型的仿真与试验测试结果吻合度高,最大误差为7.82%,在工程设计可接受误差范围内;基于快速热模型进行仿真仅用时30s,仿真速度得到显著提高。

With the development of electronic devices towards integration and miniaturization,the heatflux density of the heat dissipation system of the electronic device keeps increasing,so the micro-channel radiator is more and more widely applied.Aiming at the problems that the simulation speed of micro-channel radiator is slow and difficult to converge,an establishment method of a fast thermal model based on neural network is proposed in this paper.First,a thermal network model that can accurately characterize the heat transfer process is established through the theoretical derivation and analysis of the heat transfer process of the heat dissipation system;then,a fast thermal model is established based on the neural network algorithm and the model is customized and packaged;finally,the fast thermal model is tested and adjusted through a thermal model test system and the verification prototype.Through comparative verification,the simulation results of the fast thermal model highly agree with the experimental test results,with the maximum error of 7.82%,which is within the acceptable error range of engineering design.The simulation based on the fast thermal model only spends 30 seconds,which demonstrates that this fast thermal model can significantly improve the simulation speed.