Affiliation of Author(s):航空学院
Journal:IET Conf Publ
Abstract:Nowadays, the method of evenly distributed temperature is often used to forecast the anti-icing thermal load on anti-icing surface, and results obtained by this method are often too large. In order to reduce the total anti-icing thermal load, the distribution of heating power on anti-icing surface need to be studied. In this paper, genetic algorithm has been used to optimize the distribution of heating power on electro-thermal anti-icing surface of a component for purpose of minimizing the total heating power. Then the total heating power has dropped dramatically than those where the temperature is evenly distributed on the surface. © 2018 IET Conference Publications. All rights reserved.
Translation or Not:no
Date of Publication:2018-01-01
Co-author:Wu, Yunan,Chen weijian,Liang, Qingsen,Ma, Kechang
Correspondence Author:Wu, Yunan,zdl
Date of Publication:2018-01-01