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Multi-Objective Optimization of a Heat Sink for the Thermal Management of a Peltier-Cell-Based Biomedical Refrigerator

Author

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  • Lorenzo Gragnaniello

    (Carpitech Srl, Via Coroglio 54, 80124 Napoli, Italy)

  • Marcello Iasiello

    (Dipartimento di Ingegneria Industriale, Università degli Studi di Napoli Federico II, P. Le Tecchio 80, 80125 Napoli, Italy)

  • Gerardo Maria Mauro

    (Dipartimento di Ingegneria, Università degli Studi del Sannio, Piazza Roma 21, 82100 Benevento, Italy)

Abstract

Both storage and transport of medical products remains a challenging task because of many variables as well as infrastructures, territory, and so on. Among these variables, monitoring the medical products temperature is fundamental to guarantee their safety. On the other hand, for sectors like aerospace delivery, weight has a crucial role too. For such applications and especially for strongly variable external temperatures, Peltier cells might be employed for either cooling or heating medical products to be stored. Accordingly, this study addresses the optimization of a heat sink for the thermal management of a Peltier-cell-based biomedical refrigerator. In detail, a brute-force multi-objective optimization of an impinging-flow finned heat sink for the Peltier cell is carried out here. Thermal resistance, weight, and pressure drop are chosen as the three-objective functions to be minimized, with both geometrical and volumetric flow rate as design variables. The results present a very large bunch of optimal solutions to design such devices. With the utopia optimum criterion, R th = 0.159 °C/W, m sink = 0.550 kg, and Δ p = 14.99 Pa are obtained. Finally, both multiple-linear regression and artificial neural networks are employed to relate design variables with the objective functions, in order to provide the final user with a practical tool for the optimal design of such devices.

Suggested Citation

  • Lorenzo Gragnaniello & Marcello Iasiello & Gerardo Maria Mauro, 2022. "Multi-Objective Optimization of a Heat Sink for the Thermal Management of a Peltier-Cell-Based Biomedical Refrigerator," Energies, MDPI, vol. 15(19), pages 1-12, October.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7352-:d:935049
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    References listed on IDEAS

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    1. Yonathan Heredia-Aricapa & Juan M. Belman-Flores & Jorge A. Soria-Alcaraz & Vicente Pérez-García & Francisco Elizalde-Blancas & Jorge A. Alfaro-Ayala & José Ramírez-Minguela, 2022. "Multi-Objective Optimization of a Multilayer Wire-on-Tube Condenser: Case Study R134a, R600a, and R513A," Energies, MDPI, vol. 15(17), pages 1-14, August.
    2. Krzysztof Grygierek & Joanna Ferdyn-Grygierek, 2018. "Multi-Objective Optimization of the Envelope of Building with Natural Ventilation," Energies, MDPI, vol. 11(6), pages 1-17, May.
    3. Ana Cristina Ferreira & Angela Silva & José Carlos Teixeira & Senhorinha Teixeira, 2020. "Multi-Objective Optimization of Solar Thermal Systems Applied to Portuguese Dwellings," Energies, MDPI, vol. 13(24), pages 1-23, December.
    4. Gilbert De Mey & Andrzej Kos & Krzysztof Górecki, 2022. "Optimal Temperature Regulation of Integrated Circuits with Peltier Heat Pumps," Energies, MDPI, vol. 15(3), pages 1-12, February.
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    Cited by:

    1. Ying Guan & Hongjiang Cui & Jiyou Fei, 2023. "Study on Optimization of Copper to Aluminum for Locomotive Finned Tube Radiator," Energies, MDPI, vol. 16(5), pages 1-13, February.

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