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首页> 外文期刊>International Journal of Heat and Mass Transfer >Prediction of time-varying heat flux along a hollow cylindrical tube wall using recursive input estimation algorithm and thermal resistance network method
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Prediction of time-varying heat flux along a hollow cylindrical tube wall using recursive input estimation algorithm and thermal resistance network method

机译：递归输入估计算法和热阻网络法预测空心圆柱管壁的时变热通量

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摘要

In this study, a model using the thermal resistance network method and the recursive input estimation algorithm was developed to analyze two-dimensional inverse heat conduction problems. The recursive input estimation algorithm consisted of the Kalman filter and the real-time least squares. A two-layered hollow cylindrical tube was assumed with the convection heat transfer boundary condition at the outer wall of the tube. Using the model developed in this study, an unknown time-varying heat flux at the inner wall of the tube was predicted from the known temperatures at some positions on the outer wall of the tube in the longitudinal direction. In the process of predicting the unknown heat flux, the temperature distribution in the two-layered hollow cylindrical tube wall was also obtained. The present model was able to accurately predict the unknown time-varying heat flux profiles of square waves or sinusoidal-like waves with and without spatial variations in the longitudinal direction.
机译：在这项研究中，建立了一个使用热阻网络方法和递归输入估计算法的模型来分析二维逆热传导问题。递归输入估计算法由卡尔曼滤波器和实时最小二乘法组成。假设有一个两层空心圆柱管，在管的外壁处具有对流传热边界条件。使用在这项研究中开发的模型，从管子外壁沿纵向的某些位置的已知温度预测了管子内壁的未知时变热通量。在预测未知热通量的过程中，还获得了两层空心圆柱管壁的温度分布。本模型能够准确预测方波或类似正弦波的未知时变热通量分布图，纵向和横向都没有空间变化。

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