基于遗传算法的SOBER-SJ10池沸腾传热研究

Study on Performance of Pool Boiling Heat Transfer in SOBER-SJ10 Based on Genetic Algorithm

基于遗传算法构建了沸腾过程中加热固壁一维瞬态导热反问题计算方法,采用具有精确解的半无限瞬态导热问题构造了一个校核算例,验证了该算法具有较高的准确度和抗干扰能力,能够准确反演计算沸腾传热瞬态热流密度。基于该算法分析了SOBER-SJ10地面和空间实验中沸腾传热特性,结果表明微重力环境中单相传热被严重抑制,热流密度远小于地面数值;不同重力条件下核态沸腾传热曲线落在同一位置,显示出低热流密度时核态沸腾传热具有某种重力无关特征;但微重力条件下核态沸腾曲线起始于远低于地面的热流密度,同时在远比地面小的热流密度值时达到临界热流状态,并转变为过渡沸腾模式。

A genetic algorithm-based model is constructed for the one-dimensional transient inverse heat conduction problem inside heating solid wall during the boiling process.Based on this algorithm,the transient heat flux during boiling processes can be calculated with high accuracy and robustness,which is verified by a benchmark based on transient half-plane heat conduction problem with accurate solution.Data obtained from ground and space experiments in the project SOBER-SJ10 are analyzed.It is observed that single phase heat transfer in microgravity is severely suppressed with obviously lower heat fluxes than those on the ground.The nucleate boiling curves at different gravity conditions are overlapping,showing some gravity-independence of nucleate boiling heat transfer at low heat flux.Nucleate boiling curve in microgravity,however,begins from a location corresponding to a lower heat flux compared to that in normal gravity,while it ends at an obviously lower critical heat flux,at which the boiling mode changes from nucleate boiling to transitional boiling.