Blast furnace layer lining erosion problem based on inverse the heat conduction model

SU Fu-yong; WEN Zhi

doi:10.13374/j.issn2095-9389.2017.04.013

Volume 39 Issue 4

Apr. 2017

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SU Fu-yong, WEN Zhi. Blast furnace layer lining erosion problem based on inverse the heat conduction model[J]. Chinese Journal of Engineering, 2017, 39(4): 574-580. doi: 10.13374/j.issn2095-9389.2017.04.013

Citation:

SU Fu-yong, WEN Zhi. Blast furnace layer lining erosion problem based on inverse the heat conduction model[J]. Chinese Journal of Engineering, 2017, 39(4): 574-580. doi: 10.13374/j.issn2095-9389.2017.04.013

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Blast furnace layer lining erosion problem based on inverse the heat conduction model

doi: 10.13374/j.issn2095-9389.2017.04.013

SU Fu-yong^,,
WEN Zhi

School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China

Received Date: 2016-08-11

Abstract

Abstract

A blast furnace lining mathematical model was established based on the inverse heat transfer problem. After determining the boundary conditions of the model, this inverse heat transfer problem is divided into three problems which are the direct problem, the sensitivity problem and the adjoint problem, and these were solved using the conjugate gradient method. The feasibility of this model was proved by the inversion results of different shape functions and then it was discussed that the initial guess shape and number of measurement points effect on the inversion results. The results show that the accuracy of the inverse solution is independent of the the initial guess shape, but the number of measurement points has some impact on these results, whereby the more points are measured, the better the curve features are captured. An accurate inverse solution can be obtained with fewer measurement points and an average relative error within 3%, even though the arrangement of more points can achieve a slightly better solution.
- lining erosion,
- boundary shape,
- inverse heat conduction problem,
- conjugate gradient method

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References(14)

References

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