IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v239y2022ipes0360544221028553.html
   My bibliography  Save this article

Effects of pin fins and vortex generators on thermal performance in a microchannel with Al2O3 nanofluids

Author

Listed:
  • Wang, Jin
  • Yu, Kai
  • Ye, Mingzheng
  • Wang, Enyu
  • Wang, Wei
  • Sundén, Bengt

Abstract

This paper performs a comparative analysis to obtain the optimal cross-section shape and parameters of both pin fins and vortex generators. A novel combined structure with pin fins and vortex generators is proposed to enhance thermal performance of an integrated microchannel heat sink. Effects of nanoparticle diameter and volume fraction are investigated using Al2O3 nanofluid and DI-water as working fluid. Pin fins and vortex generators cause enhancements of flow disturbance and heat transfer on microchannel heat sinks. Results indicate that oval pin fins have better improvements of thermal/hydraulic performance compared to round and diamond pin fins. The oval pin fin with 0.4 mm spacing and 0.1 mm height presents the highest overall performance factor in the Reynolds number range of 340–640. Presence of vortices intensifies the mixing of the hot fluid near bottom surface and cold fluid near top surface. The optimal vortex generator with length of 0.08 mm and height of 0.06 mm provides a 30% increase in overall performance factor compared to the rectangular microchannel at Reynolds number of 340. Mechanism of heat transfer enhancement is analyzed by investigating flow velocity, temperature distribution and field synergy angle distribution in microchannels. Based on the field synergy principle, it is found that a small and uniformly distributed synergy angle is achieved in the integrated microchannel. According to comparisons of the overall performance factor and total thermal resistance, the optimal nanoparticle diameter and Al2O3 volume fraction of nanofluids are 20 nm and 4%, respectively.

Suggested Citation

  • Wang, Jin & Yu, Kai & Ye, Mingzheng & Wang, Enyu & Wang, Wei & Sundén, Bengt, 2022. "Effects of pin fins and vortex generators on thermal performance in a microchannel with Al2O3 nanofluids," Energy, Elsevier, vol. 239(PE).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pe:s0360544221028553
    DOI: 10.1016/j.energy.2021.122606
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221028553
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.122606?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ting, Tiew Wei & Hung, Yew Mun & Guo, Ningqun, 2014. "Entropy generation of nanofluid flow with streamwise conduction in microchannels," Energy, Elsevier, vol. 64(C), pages 979-990.
    2. Liu, Huan-ling & Shi, Hang-bo & Shen, Han & Xie, Gongnan, 2019. "The performance management of a Li-ion battery by using tree-like mini-channel heat sinks: Experimental and numerical optimization," Energy, Elsevier, vol. 189(C).
    3. Karasu, Seçkin & Altan, Aytaç & Bekiros, Stelios & Ahmad, Wasim, 2020. "A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series," Energy, Elsevier, vol. 212(C).
    4. Mahian, Omid & Mahmud, Shohel & Heris, Saeed Zeinali, 2012. "Analysis of entropy generation between co-rotating cylinders using nanofluids," Energy, Elsevier, vol. 44(1), pages 438-446.
    5. Ebrahimi, Amin & Rikhtegar, Farhad & Sabaghan, Amin & Roohi, Ehsan, 2016. "Heat transfer and entropy generation in a microchannel with longitudinal vortex generators using nanofluids," Energy, Elsevier, vol. 101(C), pages 190-201.
    6. Badescu, Viorel, 2015. "Optimal profile of heat transfer pin fins under technological constraints," Energy, Elsevier, vol. 93(P2), pages 2292-2298.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ye, Mingzheng & Du, Jianqiang & Wang, Jin & Chen, Lei & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír, 2022. "Investigation on thermal performance of nanofluids in a microchannel with fan-shaped cavities and oval pin fins," Energy, Elsevier, vol. 260(C).
    2. Zhang, Tianyi & Chen, Lei & Wang, Jin, 2023. "Multi-objective optimization of elliptical tube fin heat exchangers based on neural networks and genetic algorithm," Energy, Elsevier, vol. 269(C).
    3. Varbanov, Petar Sabev & Wang, Bohong & Ocłoń, Paweł & Radziszewska-Zielina, Elżbieta & Ma, Ting & Klemeš, Jiří Jaromír & Jia, Xuexiu, 2023. "Efficiency measures for energy supply and use aiming for a clean circular economy," Energy, Elsevier, vol. 283(C).
    4. Močnik, Urban & Čikić, Ante & Muhič, Simon, 2024. "Numerical and experimental analysis of fluid flow and flow visualization at low Reynolds numbers in a dimple pattern plate heat exchanger," Energy, Elsevier, vol. 288(C).
    5. Stanislav Kotšmíd & Zuzana Brodnianská, 2022. "The Effect of Diameter and Position of Transverse Cylindrical Vortex Generators on Heat Transfer Improvement in a Wavy Channel," Mathematics, MDPI, vol. 10(23), pages 1-22, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sheikholeslami, Mohsen & Ganji, Davood Domiri, 2014. "Ferrohydrodynamic and magnetohydrodynamic effects on ferrofluid flow and convective heat transfer," Energy, Elsevier, vol. 75(C), pages 400-410.
    2. Manikandan, S. & Rajan, K.S., 2015. "MgO-Therminol 55 nanofluids for efficient energy management: Analysis of transient heat transfer performance," Energy, Elsevier, vol. 88(C), pages 408-416.
    3. Qian, Jiaxin & Wu, Jiahui & Yao, Lei & Mahmut, Saniye & Zhang, Qiang, 2021. "Comprehensive performance evaluation of Wind-Solar-CCHP system based on emergy analysis and multi-objective decision method," Energy, Elsevier, vol. 230(C).
    4. Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
    5. Rajpal, Sheetal & Lakhyani, Navin & Singh, Ayush Kumar & Kohli, Rishav & Kumar, Naveen, 2021. "Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    6. Hasankhani, Arezoo & Hakimi, Seyed Mehdi, 2021. "Stochastic energy management of smart microgrid with intermittent renewable energy resources in electricity market," Energy, Elsevier, vol. 219(C).
    7. Jia, Wenlong & Yang, Fan & Li, Changjun & Huang, Ting & Song, Shuoshuo, 2021. "A unified thermodynamic framework to compute the hydrate formation conditions of acidic gas/water/alcohol/electrolyte mixtures up to 186.2 MPa," Energy, Elsevier, vol. 230(C).
    8. Karasu, Seçkin & Altan, Aytaç, 2022. "Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization," Energy, Elsevier, vol. 242(C).
    9. Anuar Jamaludin & Roslinda Nazar & Ioan Pop, 2019. "Mixed Convection Stagnation-Point Flow of a Nanofluid Past a Permeable Stretching/Shrinking Sheet in the Presence of Thermal Radiation and Heat Source/Sink," Energies, MDPI, vol. 12(5), pages 1-20, February.
    10. Zhou, Yuzhou & Zhao, Jiexing & Zhai, Qiaozhu, 2021. "100% renewable energy: A multi-stage robust scheduling approach for cascade hydropower system with wind and photovoltaic power," Applied Energy, Elsevier, vol. 301(C).
    11. Ziya Sogut, M., 2021. "New approach for assessment of environmental effects based on entropy optimization of jet engine," Energy, Elsevier, vol. 234(C).
    12. Asad Ullah & Nahid Fatima & Khalid Abdulkhaliq M. Alharbi & Samia Elattar & Ikramullah & Waris Khan, 2023. "A Numerical Analysis of the Hybrid Nanofluid (Ag+TiO 2 +Water) Flow in the Presence of Heat and Radiation Fluxes," Energies, MDPI, vol. 16(3), pages 1-15, January.
    13. Hu, Rongchun & Zhang, Dongxu & Gu, Xudong, 2022. "Reliability analysis of a class of stochastically excited nonlinear Markovian jump systems," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    14. Li, Niansi & Liu, Xiaoyong & Yu, Bendong & Li, Liang & Xu, Jianqiang & Tan, Qiong, 2021. "Study on the environmental adaptability of lithium-ion battery powered UAV under extreme temperature conditions," Energy, Elsevier, vol. 219(C).
    15. Firoozzadeh, Mohammad & Shiravi, Amir Hossein & Lotfi, Marzieh & Aidarova, Saule & Sharipova, Altynay, 2021. "Optimum concentration of carbon black aqueous nanofluid as coolant of photovoltaic modules: A case study," Energy, Elsevier, vol. 225(C).
    16. Mwesigye, Aggrey & Meyer, Josua P., 2017. "Optimal thermal and thermodynamic performance of a solar parabolic trough receiver with different nanofluids and at different concentration ratios," Applied Energy, Elsevier, vol. 193(C), pages 393-413.
    17. Mehrpooya, Mehdi & Ansarinasab, Hojat & Mousavi, Seyed Ali, 2021. "Life cycle assessment and exergoeconomic analysis of the multi-generation system based on fuel cell for methanol, power, and heat production," Renewable Energy, Elsevier, vol. 172(C), pages 1314-1332.
    18. Marquina, Jesús & Colinet, María José & Pablo-Romero, María del P., 2021. "The economic value of olive sector biomass for thermal and electrical uses in Andalusia (Spain)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    19. Sheikholeslami, M. & Gorji-Bandpy, M. & Ganji, D.D., 2013. "Numerical investigation of MHD effects on Al2O3–water nanofluid flow and heat transfer in a semi-annulus enclosure using LBM," Energy, Elsevier, vol. 60(C), pages 501-510.
    20. Feng, Ping & Li, Xiaoyang & Wang, Jinyu & Li, Jie & Wang, Huan & He, Lu, 2021. "The mixtures of bio-oil derived from different biomass and coal/char as biofuels: Combustion characteristics," Energy, Elsevier, vol. 224(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:239:y:2022:i:pe:s0360544221028553. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.