Inverse simulation and experimental verification of temperature-dependent thermophysical properties

Ngo, Thi-Thao; Huang, Jin-Huang; Wang, Chi-Chang

doi:10.1016/j.icheatmasstransfer.2015.12.016

Cited by 20 publications

(2 citation statements)

References 33 publications

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“…BFGS has, over time, demonstrated to be the most able among all quasi-Newton methods [34]. Also, this optimization technique has become widely used in general engineering problems, as well as in thermal property estimation [35][36][37]. The BFGS technique is an iterative and indirect search method.…”

Section: Thermal Properties Simultaneous Estimationmentioning

confidence: 99%

Contact resistance analysis applied to simultaneous estimation of thermal properties of metals

Ramos

Carollo

Silva

2020

Meas. Sci. Technol.

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This work aims to present a method for simultaneously estimating the thermal conductivity, k, and specific heat, c p , in samples of stainless steel 304 and cemented carbide by accounting the imperfect thermal contact at the heater-sample interface. A transient one-dimensional heat conduction model with constant thermal properties is used. The metallic sample is placed in the middle of a polyimide heater and a thermal insulator. A constant heat flux is applied on the specimen upside surface and a thermal insulation condition is maintained on the opposing surface, where a type T thermocouple measures the temperature response. Contact resistance is determined and accounted for as a reducing factor on heat flux. Instead of considering a lumped model, a microscopic approach of the contacting regions is used to describe both the surface roughness and the fluid gap. With the intention of guaranteeing simultaneous and reliable estimates for both thermal properties, sensitivity analysis is used to establish heat flux intensity, experiment duration, time step for data acquisition, and other characteristics of the experiments. To simultaneously achieve both thermal properties, the optimization method BFGS (Broyden-Fletcher-Goldfarb-Shanno) is employed to minimize a least-squares objective function comparing experientially measured and numerically calculated temperatures. The numerical solution for the transient conduction problem is determined with COMSOL, which solves the transient heat diffusion problem by discretizing it applying the finite element method (FEM). The linear system of equations is solved using the PARDISO solver and backward differentiation formula (BDF) method. Heat flux is estimated employing the sequential function specification method (SFSM) as a means of verifying the robustness of parameter estimation and experimental procedure. Moreover, uncertainty analysis is performed to confirm the quality of the results obtained. Finally, the uncertainty analysis outcomes and thermal properties estimated are compared with literature.

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Section: Thermal Properties Simultaneous Estimationmentioning

confidence: 99%

Contact resistance analysis applied to simultaneous estimation of thermal properties of metals

Ramos

Carollo

Silva

2020

Meas. Sci. Technol.

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“…In [6], the Levenberg-Marquardt algorithm was used to estimate the thermal conductivity and heat capacity of masonry walls given temperature and heat flux measurements on both sides of the wall. In [10], an experiment was conducted on a brass rod, and the temperature was measured at different places to estimate the thermal conductivity and heat capacity. The Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm was used to solve the inverse problem with the given temperature data.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Temperature-Dependent Thermal Conductivity and Heat Capacity Given Boundary Data

Sharahy,

Sawlan

2023

Computation

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This work aims to estimate temperature-dependent thermal conductivity and heat capacity given measurements of temperature and heat flux at the boundaries. This estimation problem has many engineering and industrial applications, such as those for the building sector and chemical reactors. Two approaches are proposed to address this problem. The first method uses an integral approach and a polynomial approximation of the temperature profile. The second method uses a numerical solver for the nonlinear heat equation and an optimization algorithm. The performance of the two methods is compared using synthetic data generated with different boundary conditions and configurations. The results demonstrate that the integral approach works in limited scenarios, whereas the numerical approach is effective in estimating temperature-dependent thermal properties. The second method is also extended to account for noisy measurements and a comprehensive uncertainty quantification framework is developed.

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Heat transfer characteristics of petroleum coke particle packed bed: An experimental and CFD simulation study

Huang,

Lu,

et al. 2024

Asia-Pacific J Chem Eng

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Due to the complexity of the internal pore structure of petroleum coke loose particle‐packed beds, measuring their thermal conductivity has always been a challenging problem. This work independently developed an experimental apparatus for testing the thermal conductivity of petroleum coke particle‐packed beds and constructed a forward calculation model for the heat transfer process, which was based on one‐dimensional unsteady heat transfer. Using the Sparse Nonlinear OPTimizer (SNOPT) algorithm, a mathematical relationship between the thermal conductivity λ of the coke bed, temperature T, and equivalent particle diameter dp was established through inverse modeling. Concurrently, a digital model of the petroleum coke particle packed bed was derived utilizing three‐dimensional computed tomography (CT) scanning technology, and a pore‐scale gas–solid radiation heat transfer model was formulated based on CFD simulation technology, thereby further elucidating the heat transfer mechanism within the petroleum coke particle packed bed. The research results indicate that the temperature predicted by the established thermal conductivity model aligns well with experimental data. Further CFD simulation studies demonstrate that a smaller particle size leads to a larger temperature difference between the wall and the center of the packed bed, while a higher gas velocity results in a smaller temperature difference, with a linear correlation observed between these two factors. At high temperatures, thermal radiation between particles in the porous petroleum coke‐packed bed plays a dominant role. The research outcomes can offer significant theoretical support for a profound analysis of the heat transfer behavior of petroleum coke‐packed beds within a vertical shaft calciner.

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Inverse simulation and experimental verification of temperature-dependent thermophysical properties

Cited by 20 publications

References 33 publications

Contact resistance analysis applied to simultaneous estimation of thermal properties of metals

Contact resistance analysis applied to simultaneous estimation of thermal properties of metals

Estimation of Temperature-Dependent Thermal Conductivity and Heat Capacity Given Boundary Data

Heat transfer characteristics of petroleum coke particle packed bed: An experimental and CFD simulation study

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