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Computer Vision and Machine Learning Methods for Heat Transfer and Fluid Flow in Complex Structural Microchannels: A Review

Author

Listed:
  • Bin Yang

    (School of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China)

  • Xin Zhu

    (School of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China)

  • Boan Wei

    (School of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China)

  • Minzhang Liu

    (School of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China)

  • Yifan Li

    (School of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China)

  • Zhihan Lv

    (College of Art, Uppsala University, s-75105 Uppsala, Sweden)

  • Faming Wang

    (Department of Biosystems, Katholieke Universiteit Leuven, BE-3001 Leuven, Belgium)

Abstract

Heat dissipation in high-heat flux micro-devices has become a pressing issue. One of the most effective methods for removing the high heat load of micro-devices is boiling heat transfer in microchannels. A novel approach to flow pattern and heat transfer recognition in microchannels is provided by the combination of image and machine learning techniques. The support vector machine method in texture characteristics successfully recognizes flow patterns. To determine the bubble dynamics behavior and flow pattern in the micro-device, image features are combined with machine learning algorithms and applied in the recognition of boiling flow patterns. As a result, the relationship between flow pattern evolution and boiling heat transfer is established, and the mechanism of boiling heat transfer is revealed.

Suggested Citation

  • Bin Yang & Xin Zhu & Boan Wei & Minzhang Liu & Yifan Li & Zhihan Lv & Faming Wang, 2023. "Computer Vision and Machine Learning Methods for Heat Transfer and Fluid Flow in Complex Structural Microchannels: A Review," Energies, MDPI, vol. 16(3), pages 1-24, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1500-:d:1056090
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    References listed on IDEAS

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