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Performance analysis of a self-driven adaptive cold-plate, an experimental approach

  • Ji Xiang Wang
  • , Hong Sheng Zhang
  • , Yun Ze Li*
  • , Sheng Nan Wang
  • , Ya Nan Zhang
  • , Ming Liang Zhong
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Effective thermal management system is critical for the safety, maintainability and reliability of the operation of space vehicles. The objective of the present study is to improve the current space-based active fluid loop (AFL). A self-driven adaptive cold-plate (SDACP) was proposed in this paper. The innovation relies on a novel energy-saving wax-actuated thermal switch assembly (TSA) which is highly integrated and competent in fulfilling multiple missions including temperature sensing, mechanical manipulation and flow regulation, decreasing the required power input in temperature control process and thus enhancing the overall operating economy. Ground-based validation experiments were organized to evaluate its temperature control precisions. Comparative studies were conducted at the same time to investigate the influence of the physical properties of actuators using different waxes on the thermal control performances.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1503-1508
Number of pages6
ISBN (Electronic)9781509020652
DOIs
StatePublished - 26 Sep 2016
Event2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 - Banff, Canada
Duration: 12 Jul 201615 Jul 2016

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2016-September

Conference

Conference2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
Country/TerritoryCanada
CityBanff
Period12/07/1615/07/16

Keywords

  • Thermal management
  • active fluid loop
  • self-adaptive control
  • space application
  • wax

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