IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v87y2015icp173-181.html
   My bibliography  Save this article

A light lithium niobate transducer design and ultrasonic de-icing research for aircraft wing

Author

Listed:
  • Wang, Zhenjun
  • Xu, Yuanming
  • Gu, Yuting

Abstract

Due to the strong piezoelectric effect possessed by lithium niobate and the fact that the adhesive bond of ice–substrate interface is relatively weak in shear, an ultrasonic de-icing technique that uses lithium niobate to design a light transducer for aircraft wing de-icing is proposed in this paper. The main contents of this paper are as follows: Firstly, a light de-icing lithium niobate transducer is designed to affix on the inner surface of the leading edge at the locations, where highest amount of ice accretion on the outer surface occurs. Secondly, the outdoor wing de-icing experiments are conducted to determine the optimal ultrasonic de-icing frequency. Finally, the design scheme of light-weight supersonic generator installed in the aircraft is presented. Research results show that this de-icing technique for aircraft wing de-icing is feasible, promising for further investigation.

Suggested Citation

  • Wang, Zhenjun & Xu, Yuanming & Gu, Yuting, 2015. "A light lithium niobate transducer design and ultrasonic de-icing research for aircraft wing," Energy, Elsevier, vol. 87(C), pages 173-181.
    • Handle: RePEc:eee:energy:v:87:y:2015:i:c:p:173-181
    DOI: 10.1016/j.energy.2015.04.064
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215005198
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2015.04.064?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. Lu, Xiaolong & Zhang, Qi & Hu, Junhui, 2013. "A linear piezoelectric actuator based solar panel cleaning system," Energy, Elsevier, vol. 60(C), pages 401-406.
    2. Chan, Apple L.S. & Chow, Tin-Tai & Fong, Square K.F. & Lin, John Z., 2006. "Performance evaluation of district cooling plant with ice storage," Energy, Elsevier, vol. 31(14), pages 2750-2762.
    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. Wang, Zhenjun & Xu, Yuanming, 2015. "Review on application of the recent new high-power ultrasonic transducers in enhanced oil recovery field in China," Energy, Elsevier, vol. 89(C), pages 259-267.
    2. Wang, Yibing & Xu, Yuanming & Lei, Yuyong, 2018. "An effect assessment and prediction method of ultrasonic de-icing for composite wind turbine blades," Renewable Energy, Elsevier, vol. 118(C), pages 1015-1023.
    3. Wang, Zhenjun & Gu, Simin, 2018. "State-of-the-art on the development of ultrasonic equipment and key problems of ultrasonic oil prudction technique for EOR in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2401-2407.
    4. Wang, Yibing & Xu, Yuanming & Huang, Qi, 2017. "Progress on ultrasonic guided waves de-icing techniques in improving aviation energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 638-645.

    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. Sayegh, M.A. & Danielewicz, J. & Nannou, T. & Miniewicz, M. & Jadwiszczak, P. & Piekarska, K. & Jouhara, H., 2017. "Trends of European research and development in district heating technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1183-1192.
    2. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
    3. Barth, Florian & Schüppler, Simon & Menberg, Kathrin & Blum, Philipp, 2023. "Estimating cooling capacities from aerial images using convolutional neural networks," Applied Energy, Elsevier, vol. 349(C).
    4. Wang, Lixiao & Jing, Z.X. & Zheng, J.H. & Wu, Q.H. & Wei, Feng, 2018. "Decentralized optimization of coordinated electrical and thermal generations in hierarchical integrated energy systems considering competitive individuals," Energy, Elsevier, vol. 158(C), pages 607-622.
    5. Al-Shannaq, Refat & Young, Brent & Farid, Mohammed, 2019. "Cold energy storage in a packed bed of novel graphite/PCM composite spheres," Energy, Elsevier, vol. 171(C), pages 296-305.
    6. Valerie Eveloy & Dereje S. Ayou, 2019. "Sustainable District Cooling Systems: Status, Challenges, and Future Opportunities, with Emphasis on Cooling-Dominated Regions," Energies, MDPI, vol. 12(2), pages 1-64, January.
    7. Rafi Zahedi & Parisa Ranjbaran & Gevork B. Gharehpetian & Fazel Mohammadi & Roya Ahmadiahangar, 2021. "Cleaning of Floating Photovoltaic Systems: A Critical Review on Approaches from Technical and Economic Perspectives," Energies, MDPI, vol. 14(7), pages 1-25, April.
    8. Powell, Kody M. & Kim, Jong Suk & Cole, Wesley J. & Kapoor, Kriti & Mojica, Jose L. & Hedengren, John D. & Edgar, Thomas F., 2016. "Thermal energy storage to minimize cost and improve efficiency of a polygeneration district energy system in a real-time electricity market," Energy, Elsevier, vol. 113(C), pages 52-63.
    9. Abdulsalam S. Alghamdi & AbuBakr S. Bahaj & Luke S. Blunden & Yue Wu, 2019. "Dust Removal from Solar PV Modules by Automated Cleaning Systems," Energies, MDPI, vol. 12(15), pages 1-21, July.
    10. Lee, Wen-Shing & Chen, Yi -Ting & Wu, Ting-Hau, 2009. "Optimization for ice-storage air-conditioning system using particle swarm algorithm," Applied Energy, Elsevier, vol. 86(9), pages 1589-1595, September.
    11. Chi-Chun Lo & Shang-Ho Tsai & Bor-Shyh Lin, 2016. "Ice Storage Air-Conditioning System Simulation with Dynamic Electricity Pricing: A Demand Response Study," Energies, MDPI, vol. 9(2), pages 1-16, February.
    12. Shan, Kui & Fan, Cheng & Wang, Jiayuan, 2019. "Model predictive control for thermal energy storage assisted large central cooling systems," Energy, Elsevier, vol. 179(C), pages 916-927.
    13. Tan, Hongbo & Li, Yanzhong & Tuo, Hanfei & Zhou, Man & Tian, Baocong, 2010. "Experimental study on liquid/solid phase change for cold energy storage of Liquefied Natural Gas (LNG) refrigerated vehicle," Energy, Elsevier, vol. 35(5), pages 1927-1935.
    14. Guelpa, Elisa & Verda, Vittorio, 2019. "Thermal energy storage in district heating and cooling systems: A review," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    15. Chen, Jinxin & Pan, Guobing & Ouyang, Jing & Ma, Jin & Fu, Lei & Zhang, Libin, 2020. "Study on impacts of dust accumulation and rainfall on PV power reduction in East China," Energy, Elsevier, vol. 194(C).
    16. Neri, Manfredi & Guelpa, Elisa & Verda, Vittorio, 2022. "Design and connection optimization of a district cooling network: Mixed integer programming and heuristic approach," Applied Energy, Elsevier, vol. 306(PA).
    17. Heine, Karl & Tabares-Velasco, Paulo Cesar & Deru, Michael, 2023. "Optimizing mixed cool thermal storage systems across a connected community," Energy, Elsevier, vol. 285(C).
    18. Luerssen, Christoph & Gandhi, Oktoviano & Reindl, Thomas & Sekhar, Chandra & Cheong, David, 2020. "Life cycle cost analysis (LCCA) of PV-powered cooling systems with thermal energy and battery storage for off-grid applications," Applied Energy, Elsevier, vol. 273(C).
    19. Powell, Kody M. & Sriprasad, Akshay & Cole, Wesley J. & Edgar, Thomas F., 2014. "Heating, cooling, and electrical load forecasting for a large-scale district energy system," Energy, Elsevier, vol. 74(C), pages 877-885.
    20. Gowtham Vedulla & Anbazhagan Geetha & Ramalingam Senthil, 2022. "Review of Strategies to Mitigate Dust Deposition on Solar Photovoltaic Systems," Energies, MDPI, vol. 16(1), pages 1-28, December.

    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:87:y:2015:i:c:p:173-181. 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.