TY - GEN
T1 - A cooling capacity distribution method for liquid cooling cycle based on Co-simulation and optimization of AMESim and modeFRONTIER
AU - Haodong, Liu
AU - Sujun, Dong
AU - Hongsheng, Jiang
AU - Yunhua, Li
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/1
Y1 - 2021/8/1
N2 - The flow distribution of each branch of the aircraft's airborne liquid cooling cycle is a key issue to ensure refrigeration performance and improve energy utilization. Due to the correlation of multiple factors, the existing airborne liquid cooling cycle flow distribution method cannot achieve accurate flow distribution result. This paper takes the maximum maximum temperature of all equipment as the optimization goal, and the joint simulation-optimization of the AMESim software and the modeFRONTIER platform is used to solve the optimization design problem of the flow distribution scheme. The result shows that compared with traditional design methods, the use of simulation-based optimization design methods can give full play to the advantages of AMESim software in simulation and performance index calculation and modeFRONTIER software in searching for optimal allocation schemes. It can reduce the maximum temperature of each branch device and effectively improve the cooling effect.
AB - The flow distribution of each branch of the aircraft's airborne liquid cooling cycle is a key issue to ensure refrigeration performance and improve energy utilization. Due to the correlation of multiple factors, the existing airborne liquid cooling cycle flow distribution method cannot achieve accurate flow distribution result. This paper takes the maximum maximum temperature of all equipment as the optimization goal, and the joint simulation-optimization of the AMESim software and the modeFRONTIER platform is used to solve the optimization design problem of the flow distribution scheme. The result shows that compared with traditional design methods, the use of simulation-based optimization design methods can give full play to the advantages of AMESim software in simulation and performance index calculation and modeFRONTIER software in searching for optimal allocation schemes. It can reduce the maximum temperature of each branch device and effectively improve the cooling effect.
KW - AMESim
KW - Cooling capacity distribution
KW - Liquid cooling cycle
KW - Simulation based optimization
KW - modeFRONTIER
UR - https://www.scopus.com/pages/publications/85115447342
U2 - 10.1109/ICIEA51954.2021.9516133
DO - 10.1109/ICIEA51954.2021.9516133
M3 - 会议稿件
AN - SCOPUS:85115447342
T3 - Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
SP - 317
EP - 322
BT - Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
Y2 - 1 August 2021 through 4 August 2021
ER -