Thermal Optimization of Liquid Cooling System based on Multi-microchannel cold-plates in Servo Driver
Konferenz: MEMAT 2022 - 2nd International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology
07.01.2022 - 09.01.2022 in Guilin, China
Tagungsband: MEMAT 2022
Seiten: 4Sprache: EnglischTyp: PDF
Autoren:
Tao, Lin (School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, Guangxi, China)
Bao, Jiading; Zhang, Ping (School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, Guangxi, China)
Inhalt:
For fast and accurate analysis on the multi-source heat dissipation problem of servo-driven units in computer numerical control (CNC) system, a thermal optimization of liquid cooling system which incorporates microchannel cold-plates was discussed with the flow network model technology. In this study, heat dissipation performance parameters of microchannel cold-plates were analyzed through an experiment and a flow network model was built to simulate the liquid cooling system layout of multi-microchannel cold-plates. The liquid cooling system was optimized according to simulation results. The goal of optimization is to control flow rate of each microchannel cold-plate to assure that temperature of power semiconductor chip controlled within the allowance, thus solving the multi-source heat dissipation problem of servo driver.