A Calibration Integral Equation Method for Inverse Heat Conduction Problems With Nonlinear Back Surface Boundary Condition

Abstract The radiative heat transfer boundary condition typically occurs in high-temperature environments and is highly nonlinear. In these cases, noncontact measurements are usually utilized to substitute contact-based measurements that often interfere with the structure. This article proposes a linearization approach to derive a calibration integral equation for predicting surface heat flux based on temperature measurement on the back surface, where noncontact temperature measurement techniques can be effectively utilized. Our numerical simulations demonstrate that the relative root mean square errors of the predictions are only 2% when the linearization assumption is valid, making the approach highly suitable for certain engineering applications. Additionally, through an analysis of boundary conditions involving both heat convection and radiation, a criterion is proposed to ensure the feasibility of the linearization assumption.

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Publication Details

Journal
Journal of Thermal Science and Engineering Applications
Published
2025-05-30
DOI
https://doi.org/10.1115/1.4068805
Primary Topic
Numerical methods in inverse problems
Type
article
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article

A Calibration Integral Equation Method for Inverse Heat Conduction Problems With Nonlinear Back Surface Boundary Condition

Hongchu Chen, Rongshi Cheng, Taj Munir
Journal of Thermal Science and Engineering Applications
Numerical methods in inverse problems
article

A Calibration Integral Equation Method for Inverse Heat Conduction Problems With Nonlinear Back Surface Boundary Condition

Hongchu Chen, Rongshi Cheng, Taj Munir
article en

Abstract

Abstract The radiative heat transfer boundary condition typically occurs in high-temperature environments and is highly nonlinear. In these cases, noncontact measurements are usually utilized to substitute contact-based measurements that often interfere with the structure. This article proposes a linearization approach to derive a calibration integral equation for predicting surface heat flux based on temperature measurement on the back surface, where noncontact temperature measurement techniques can be effectively utilized. Our numerical simulations demonstrate that the relative root mean square errors of the predictions are only 2% when the linearization assumption is valid, making the approach highly suitable for certain engineering applications. Additionally, through an analysis of boundary conditions involving both heat convection and radiation, a criterion is proposed to ensure the feasibility of the linearization assumption.

Journal of Thermal Science and Engineering ApplicationsVol. 17(9)
Power+Energy (United States) (US), American Institute of Aeronautics and Astronautics (US), Zhejiang University (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 82%
Numerical methods in inverse problems
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A Calibration Integral Equation Method for Inverse Heat Conduction Problems With Nonlinear Back Surface Boundary Condition — Hongchu Chen, Rongshi Cheng, et al. · Journal of Thermal Science and Engineering Applications (2025) | TGRS Research Map | TGRS