基于神经网络的新型车用管芯式散热器传热性能研究  

Study of Heat Transfer Performance for A New Automobile Tube-core Radiator Based on Neural Network

作　　者：班淑珍[1] 席明智[1] 韩俊峰[1] 

机构地区：[1]内蒙古工业大学能源与动力工程学院,内蒙古呼和浩特010062

出　　处：《机电产品开发与创新》2008年第5期60-61,30,共3页Development & Innovation of Machinery & Electrical Products

基　　金：内蒙古自治区自然科学基金(200308020209)

摘　　要：运用神经网络方法,构造了管芯式散热器传热性能预测模型,摆脱了复杂的仿真数值模拟,方法简单。将传热系数K的预测结果和实测结果对比,表明了该方法在散热器性能研究方面有较高精度,预测结果可靠。By using neural network method , a neural network model is set up for predicting the heat transfer performance of a new tube-core radiator, out of the complex numerical simulation. Compared the predicted result with the test result of the heat transfer coet^icient K, indicated this method have a high precision in predicting radiator heat transfer performance, the predicted result is rehable.

关 键 词：管芯式散热器 神经网络 传热性能 预测模型 

分 类 号：TH-39[机械工程]