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Numerical investigation for optimizing segmented micro-channel heat sink by Taguchi-Grey method

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  • Naqiuddin, Nor Haziq
  • Saw, Lip Huat
  • Yew, Ming Chian
  • Yusof, Farazila
  • Poon, Hiew Mun
  • Cai, Zuansi
  • Thiam, Hui San

Abstract

The scale-down trend increases the chips’ density and the high power handling capability generates unnecessary heat which can disrupt the reliability of the electronic devices. Therefore, various types of cooling solution have been proposed to enhance heat dissipation from the electronic devices. One of the solution is using inexpensive straight-channel heat sink. However, the presence of large temperature gradient between the upstream and downstream in the straight-channel can shorten the life span of the device and subsequently reduce the reliability. In this study, a novel segmented micro-channel is introduced to improve the thermal performance of the straight-channel heat sink. Computational fluid dynamic analysis are performed to investigate the performance of the micro-channel heat sink. The bottom of the heat sink is subjected to a constant heat flux condition and water is used as a coolant. Following that, Taguchi-grey method is applied to optimize the design of the segmented micro-channel. The effect of fin width, fin length, fin transverse distance, number of segments, channel width and mass flow rate on the specific performance, variation of temperature and pressure drop are investigated. The results indicate that a three segments of segmented micro-channel, fin width-1 mm, fin length-2 mm, fin transverse distance-5 mm and channel width-1 mm have successfully enhance the heat transfer performance with minimum pressure drop. It is also found that the optimized micro-channel heat sink is able to cool the chip with heat flux of 800 W to 56.6 °C and pumping power of 0.13 W using 15 gs−1 of water.

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  • Naqiuddin, Nor Haziq & Saw, Lip Huat & Yew, Ming Chian & Yusof, Farazila & Poon, Hiew Mun & Cai, Zuansi & Thiam, Hui San, 2018. "Numerical investigation for optimizing segmented micro-channel heat sink by Taguchi-Grey method," Applied Energy, Elsevier, vol. 222(C), pages 437-450.
    • Handle: RePEc:eee:appene:v:222:y:2018:i:c:p:437-450
    DOI: 10.1016/j.apenergy.2018.03.186
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    2. Muhsin Kılıç & Sevgül Gamsız & Zehra Nihan Alınca, 2023. "Comparative Evaluation and Multi-Objective Optimization of Cold Plate Designed for the Lithium-Ion Battery Pack of an Electrical Pickup by Using Taguchi–Grey Relational Analysis," Sustainability, MDPI, vol. 15(16), pages 1-28, August.
    3. Bademlioglu, A.H. & Canbolat, A.S. & Kaynakli, O., 2020. "Multi-objective optimization of parameters affecting Organic Rankine Cycle performance characteristics with Taguchi-Grey Relational Analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    4. Wang, Jian & Kong, Hui & Xu, Yaobin & Wu, Jinsong, 2019. "Experimental investigation of heat transfer and flow characteristics in finned copper foam heat sinks subjected to jet impingement cooling," Applied Energy, Elsevier, vol. 241(C), pages 433-443.

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