2019
DOI: 10.1016/j.applthermaleng.2019.04.077
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Real-time reconstruction of the time-dependent heat flux and temperature distribution in participating media by using the Kalman filtering technique

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Cited by 24 publications
(3 citation statements)
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“…This method replaces the continuous solution domain with a finite number of grid nodes, replacing the differential in the heat conduction equation with the difference quotient of the function values at the grid nodes, thus, discretizing the continuous equation. The time term is discretized in forward difference form and the spatial term is discretized in central difference form for the computational domain, as shown in Equations ( 7)- (10).…”
Section: Finite Difference Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…This method replaces the continuous solution domain with a finite number of grid nodes, replacing the differential in the heat conduction equation with the difference quotient of the function values at the grid nodes, thus, discretizing the continuous equation. The time term is discretized in forward difference form and the spatial term is discretized in central difference form for the computational domain, as shown in Equations ( 7)- (10).…”
Section: Finite Difference Methodsmentioning
confidence: 99%
“…For example, Dong et al combined the Broyden combination method with SFSM to reconstruct the temperature field during the heating of billets [9]. The literature [10,11] applied the Kalman technique to the study of inverse heat conduction problems. In response to the low accuracy of the first-order linearized approximation of the Kalman technique, an unscented Kalman filter (UKF) was proposed and combined with unscented Rauch-Tung-Striebel smoother (URTSS) to be applied to non-linear inverse heat conduction problems.…”
Section: Introductionmentioning
confidence: 99%
“…In order to improve the realtime performance of thermal boundary estimation, Xiong et al [6] proposed the sequential function specification method and finite volume method to predict the convective heat transfer coefficients of fluids in two-dimensional pipes in real time. Qi et al [7,8] proposed an unscented Kalman filter (UKF) and applied it to nonlinear inverse heat conduction Energies 2023, 16, 225 2 of 14 problems with an unscented smoother. Many scholars use the method of neural networks to solve the IHCP.…”
Section: Introductionmentioning
confidence: 99%