本文分析了典型热防护绝热材料氧化铝纤维内部的传热方式及传热反问题。氧化铝纤维内部的传热主要以固体纤维导热、纤维孔隙气体导热和辐射传热为主。本文以气-固耦合导热模型和辐射模型为依据,利用数值方法求解了氧化铝纤维内部的温度场,并拟合得出耦合气体导热,固体导热和辐射三种方式的有效热导率。本文利用遗传算法求解氧化铝纤维的稳态传热反问题,根据氧化铝纤维的温度数据,优化得到有效热导率的预测值,并与参考值进行对比,结果表明在一定进化代数内优化误差随进化代数的增加而减小。 This paper analyzes the heat transfer and heat transfer problems of the typical thermal insulation material alumina fiber. The heat transfer inside the alumina fiber mainly takes the heat conduction of the solid fiber, the thermal conductivity of the fiber pore gas and the radiation heat transfer. Based on the gas-solid coupling thermal model and the radiation model, the temperature field inside the alumina fiber is solved numerically and the effective thermal conductivity of the coupled gas thermal conductivity, solid thermal conductivity and radiation are obtained. In this paper, genetic algorithm is used to solve the inverse problem of steady state heat transfer of alumina fibers. Based on the temperature data of alumina fibers, the predicted values ​​of effective thermal conductivity are optimized and compared with the reference values. The results show that the error is optimized within a certain evolutionary algebra Decrease with the increase of evolutionary algebra.