Simultaneous estimation of thermal properties of orthotropic material with non-intrusive measurement

Somasundharam, S.; Reddy, K. S.

doi:10.1016/j.ijheatmasstransfer.2018.05.061

Cited by 14 publications

(3 citation statements)

References 26 publications

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“…The Levenberg-Marquardt algorithm was also used by Somasundharam and Reddy for the simultaneous estimation of the principal thermal conductivities and heat capacity of a unidirectional fiber-reinforced carbon composite [138]. Their experimental setup consisted of a planar electrical heater sandwiched between two identical samples, whose temperatures were non-intrusively measured with an IR camera.…”

Section: Multidimensional Modelsmentioning

confidence: 99%

Modeling and Measuring Thermodynamic and Transport Thermophysical Properties: A Review

et al. 2022

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The present review describes the up-to-date state of the evaluation of thermophysical properties (TP) of materials with three different procedures: modeling (also including inverse problems), measurements and analytical methods (e.g., through computing from other properties). Methods to measure specific heat and thermal conductivity are described in detail. Thermal diffusivity and thermal effusivity are a combination of the previously cited properties, but also for these properties, specific measurement and calculation methods are reported. Experiments can be carried out in steady-state, transient, and pulse regimes. For modeling, special focus is given to the inverse methods and parameter estimation procedures, because through them it is possible to evaluate the thermophysical property, assuring the best practices and supplying the measurement uncertainty. It is also cited when the most common data processing algorithms are used, e.g., the Gauss–Newton and Levenberg–Marquardt least squares minimization algorithms, and how it is possible to retrieve values of TP from other data. Optimization criteria for designing the experiments are also mentioned.

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Section: Multidimensional Modelsmentioning

confidence: 99%

Modeling and Measuring Thermodynamic and Transport Thermophysical Properties: A Review

et al. 2022

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“…Recently, many researchers have presented techniques to simultaneously estimate temperature-dependent thermal properties, such as Sadeghi et al [8] who determined thermal conductivity and diffusivity of SiC samples by applying the microwave heating process, Zamel et al [9] who presented an improved firework algorithm to solve inverse problems allowing simultaneous estimation of properties of molten salt, and Öztürk et al [10] who presented a method to estimate thermal conductivity and specific heat temperature-dependent of thermal protective fabric with good results. Other studies were performed [11,12,13,14,15,16], but none of them included the possibility of estimating thermal properties of metals depending on temperature simultaneously. Moreover, the experimental apparatus for most of these techniques is usually expensive.…”

Section: Introductionmentioning

confidence: 99%

A Different Approach to Estimate Temperature-Dependent Thermal Properties of Metallic Materials

Carollo

Silva

2019

Materials

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Thermal conductivity, λ, and volumetric heat capacity, ρcp, variables that depend on temperature were simultaneously estimated in a diverse technique applied to AISI 1045 and AISI 304 samples. Two distinctive intensities of heat flux were imposed to provide a more accurate simultaneous estimation in the same experiment. A constant heat flux was imposed on the upper surface of the sample while the temperature was measured on the opposite insulated surface. The sensitivity coefficients were analyzed to provide the thermal property estimation. The Broydon-Fletcher-Goldfarb-Shanno (BFGS) optimization technique was applied to minimize an objective function. The squared difference objective function of the numerical and experimental temperatures was defined considering the error generated by the contact resistance. The temperature was numerically calculated by using the finite difference method. In addition, the reliability of the results was assured by an uncertainty analysis. Results showing a difference lower than 7% were obtained for λ and ρcp, and the uncertainty values were above 5%.

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“…Somasundharam and Reddy [96] characterised the thermal properties of an orthotropic material employing IR measurements. Mobtil et al [97] utilised IR thermography to inversely derive the heat transfer in transient conditions in a fin and tube heat exchanger.…”

Section: Experimental Characterisation Of Heat Exchangers | 19mentioning

confidence: 99%

Aerothermal Characterisation of Surface Heat Exchangers for Turbofans

Felgueroso Rodríguez

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Simultaneous estimation of thermal properties of orthotropic material with non-intrusive measurement

Cited by 14 publications

References 26 publications

Modeling and Measuring Thermodynamic and Transport Thermophysical Properties: A Review

Modeling and Measuring Thermodynamic and Transport Thermophysical Properties: A Review

A Different Approach to Estimate Temperature-Dependent Thermal Properties of Metallic Materials

Aerothermal Characterisation of Surface Heat Exchangers for Turbofans

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