摘要
搭建高温瞬态热特性实验装置,测量获取某纳米复合隔热材料在290~1 090 K温度范围内的高温瞬态热特性数据。基于辐射与导热耦合传热模型和群体智能优化的遗传算法,建立随温度变化等效导热系数的辨识模型。通过数值实验验证了辨识模型的可靠性。结合真实实验测量所得高温瞬态热特性数据,辨识获取材料在290~1 090 K温度范围内的等效导热系数,介于0.027~0.043 W/(m·K),随温度升高呈非线性上升趋势。
An experimental apparatus was built to measure transient thermal characteristics of nanocomposite thermal insulation within a temperature range between 290 and 1 090 K. An inverse method was developed to retrieve the temperature-dependent effective thermal conductivity based on transient temperature measurements. It was achieved by combining a forward model for solving combined conduction and radiation and an optimization method based on genetic algorithm（GA）.The method was validated by numerical experiments. The temperature-dependent effective thermal conductivities of nanocomposite thermal insulation at normal pressure were retrieved by solving the inverse method. The retrieved value increased from 0. 027 to 0. 043 W/（m·K） as temperature increased from 290 to 1 090 K.
出处
《中国科学院大学学报（中英文）》
CSCD
北大核心
2018年第2期216-221,共6页
Journal of University of Chinese Academy of Sciences
基金
国家自然科学基金(51536001
51676055)资助
关键词
纳米复合隔热材料
等效导热系数
辨识
高温实验
nanocomposite thermal insulation
effective thermal conductivity
inverse identification
high temperature experiment
