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

Dewei Tang, Hong Xiao, Fanrui Kong, Zongquan Deng, Shengyuan Jiang and Qiquan Quan
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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

Energies, 2017, vol. 10, issue 3, 1-17

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.

Keywords: lunar sampling; rotary motor; planetary reducer; thermal analysis; thermal network method (TNM); experimental verification (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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