采用共轭梯度法,给出二维变几何域下的热流反演算法,并对算法的有效性和稳定性进行验证.结果显示:测点数目对反演结果有较大影响,测点数目的选取和热流的空间变化剧烈程度有关;反演初值的选取对反演结果,尤其是末时段,会有较大影响,应尽可能选择传热过程末时刻热流作为反演初值.
Conjugate gradient method (CGM) is developed for the estimation of surface heat flux in two-dimensional variable geometry heat conduction problem from temperature measurements. In typical exemplified ease, it is shown that CGM is feasible and robust. Further studies reveal that estimated results are influenced by number of measurement points and initial estimation. The number of measurement points are related to intensity of heat flux spatial variation. And the final heat flux should be chosen as the initial estimation.