IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i3p355-d92896.html
   My bibliography  Save this article

Thermal Analysis of the Driving Component Based on the Thermal Network Method in a Lunar Drilling System and Experimental Verification

Author

Listed:
  • Dewei Tang

    (State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 15001, China)

  • Hong Xiao

    (State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 15001, China)

  • Fanrui Kong

    (State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 15001, China)

  • Zongquan Deng

    (State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 15001, China)

  • Shengyuan Jiang

    (State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 15001, China)

  • Qiquan Quan

    (State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 15001, China)

Abstract

The main task of the third Chinese lunar exploration project is to obtain soil samples that are greater than two meters in length and to acquire bedding information from the surface of the moon. The driving component is the power output unit of the drilling system in the lander; it provides drilling power for core drilling tools. High temperatures can cause the sensors, permanent magnet, gears, and bearings to suffer irreversible damage. In this paper, a thermal analysis model for this driving component, based on the thermal network method (TNM) was established and the model was solved using the quasi-Newton method. A vacuum test platform was built and an experimental verification method (EVM) was applied to measure the surface temperature of the driving component. Then, the TNM was optimized, based on the principle of heat distribution. Through comparative analyses, the reasonableness of the TNM is validated. Finally, the static temperature field of the driving component was predicted and the “safe working times” of every mode are given.

Suggested Citation

  • Dewei Tang & Hong Xiao & Fanrui Kong & Zongquan Deng & Shengyuan Jiang & Qiquan Quan, 2017. "Thermal Analysis of the Driving Component Based on the Thermal Network Method in a Lunar Drilling System and Experimental Verification," Energies, MDPI, vol. 10(3), pages 1-17, March.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:3:p:355-:d:92896
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/3/355/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/3/355/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Feng Chai & Yue Tang & Yulong Pei & Peixin Liang & Hongwei Gao, 2016. "Temperature Field Accurate Modeling and Cooling Performance Evaluation of Direct-Drive Outer-Rotor Air-Cooling In-Wheel Motor," Energies, MDPI, vol. 9(10), pages 1-17, October.
    2. Sung Chul Kim, 2013. "Thermal Performance of Motor and Inverter in an Integrated Starter Generator System for a Hybrid Electric Vehicle," Energies, MDPI, vol. 6(11), pages 1-18, November.
    3. Yingning Qiu & Wenxiu Zhang & Mengnan Cao & Yanhui Feng & David Infield, 2015. "An Electro-Thermal Analysis of a Variable-Speed Doubly-Fed Induction Generator in a Wind Turbine," Energies, MDPI, vol. 8(5), pages 1-17, April.
    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. Lijun Gao & Yunze Li & Huijuan Xu & Xin Zhang & Man Yuan & Xianwen Ning, 2019. "Numerical Investigation on Heat-Transfer and Hydromechanical Performance inside Contaminant-Insensitive Sublimators under a Vacuum Environment for Spacecraft Applications," Energies, MDPI, vol. 12(23), pages 1-21, November.

    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. Moo-Yeon Lee & Dong Hyun Lim & Sung Chul Kim, 2015. "Evaluation of the Effect of Operating Parameters on Thermal Performance of an Integrated Starter Generator in Hybrid Electric Vehicles," Energies, MDPI, vol. 8(8), pages 1-19, August.
    2. Jing Zhao & Wei Liu & Bin Li & Xiangdong Liu & Congzhe Gao & Zhongxin Gu, 2015. "Investigation of Electromagnetic, Thermal and Mechanical Characteristics of a Five-Phase Dual-Rotor Permanent-Magnet Synchronous Motor," Energies, MDPI, vol. 8(9), pages 1-31, September.
    3. Dmytro Konovalov & Ignat Tolstorebrov & Trygve Magne Eikevik & Halina Kobalava & Mykola Radchenko & Armin Hafner & Andrii Radchenko, 2023. "Recent Developments in Cooling Systems and Cooling Management for Electric Motors," Energies, MDPI, vol. 16(19), pages 1-31, October.
    4. Md Liton Hossain & Ahmed Abu-Siada & S. M. Muyeen, 2018. "Methods for Advanced Wind Turbine Condition Monitoring and Early Diagnosis: A Literature Review," Energies, MDPI, vol. 11(5), pages 1-14, May.
    5. Bishal Silwal & Peter Sergeant, 2018. "Thermally Induced Mechanical Stress in the Stator Windings of Electrical Machines," Energies, MDPI, vol. 11(8), pages 1-18, August.
    6. Yeongsu Bak & June-Seok Lee & Kyo-Beum Lee, 2016. "Balanced Current Control Strategy for Current Source Rectifier Stage of Indirect Matrix Converter under Unbalanced Grid Voltage Conditions," Energies, MDPI, vol. 10(1), pages 1-18, December.
    7. Dinh-Chung Phan & Shigeru Yamamoto, 2015. "Maximum Energy Output of a DFIG Wind Turbine Using an Improved MPPT-Curve Method," Energies, MDPI, vol. 8(10), pages 1-19, October.
    8. Colmenar-Santos, Antonio & Molina-Ibáñez, Enrique-Luis & Rosales-Asensio, Enrique & López-Rey, África, 2018. "Technical approach for the inclusion of superconducting magnetic energy storage in a smart city," Energy, Elsevier, vol. 158(C), pages 1080-1091.
    9. Mengnan Cao & Yingning Qiu & Yanhui Feng & Hao Wang & Dan Li, 2016. "Study of Wind Turbine Fault Diagnosis Based on Unscented Kalman Filter and SCADA Data," Energies, MDPI, vol. 9(10), pages 1-18, October.
    10. Zabdur Rehman & Kwanjae Seong, 2018. "Three-D Numerical Thermal Analysis of Electric Motor with Cooling Jacket," Energies, MDPI, vol. 11(1), pages 1-15, January.
    11. Yatai Ji & Paolo Giangrande & Vincenzo Madonna & Weiduo Zhao & Michael Galea, 2021. "Reliability-Oriented Design of Inverter-Fed Low-Voltage Electrical Machines: Potential Solutions," Energies, MDPI, vol. 14(14), pages 1-25, July.

    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:gam:jeners:v:10:y:2017:i:3:p:355-:d:92896. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.