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Modeling and Measuring Thermodynamic and Transport Thermophysical Properties: A Review

Author

Listed:
  • Giampaolo D’Alessandro

    (Department of Industrial and Information Engineering and Economics, University of L’Aquila, 67100 L’Aquila, Italy)

  • Michele Potenza

    (Department of Industrial Engineering, University of Rome “Tor Vergata”, 00133 Rome, Italy)

  • Sandra Corasaniti

    (Department of Industrial Engineering, University of Rome “Tor Vergata”, 00133 Rome, Italy)

  • Stefano Sfarra

    (Department of Industrial and Information Engineering and Economics, University of L’Aquila, 67100 L’Aquila, Italy)

  • Paolo Coppa

    (Department of Industrial Engineering, University of Rome “Tor Vergata”, 00133 Rome, Italy)

  • Gianluigi Bovesecchi

    (Department of Enterprise Engineering, University of Rome “Tor Vergata”, 00133 Rome, Italy)

  • Filippo de Monte

    (Department of Industrial and Information Engineering and Economics, University of L’Aquila, 67100 L’Aquila, Italy)

Abstract

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.

Suggested Citation

  • Giampaolo D’Alessandro & Michele Potenza & Sandra Corasaniti & Stefano Sfarra & Paolo Coppa & Gianluigi Bovesecchi & Filippo de Monte, 2022. "Modeling and Measuring Thermodynamic and Transport Thermophysical Properties: A Review," Energies, MDPI, vol. 15(23), pages 1-29, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8807-:d:980662
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    References listed on IDEAS

    as
    1. Giampaolo D’Alessandro & Filippo de Monte, 2020. "Multi-Layer Transient Heat Conduction Involving Perfectly-Conducting Solids," Energies, MDPI, vol. 13(24), pages 1-25, December.
    2. Na Li & Yang Wang & Qi Liu & Hao Peng, 2022. "Evaluation of Thermal-Physical Properties of Novel Multicomponent Molten Nitrate Salts for Heat Transfer and Storage," Energies, MDPI, vol. 15(18), pages 1-17, September.
    3. Giampaolo D’Alessandro & Filippo de Monte & Donald E. Amos, 2019. "Effect of Heat Source and Imperfect Contact on Simultaneous Estimation of Thermal Properties of High-Conductivity Materials," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-15, June.
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    Cited by:

    1. Gianluigi Bovesecchi & Paolo Coppa & Sandra Corasaniti & Girolamo Costanza & Michele Potenza & Maria Elisa Tata, 2023. "Experimental Tests of Conduction/Convection Heat Transfer in Very High Porosity Foams with Lattice Structures, Immersed in Different Fluids," Energies, MDPI, vol. 16(16), pages 1-15, August.

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