Research on the Thermal Field and Active Water Cooling System Design of an Air-Core Compulsator

2011 ◽  
Vol 39 (1) ◽  
pp. 257-262 ◽  
Author(s):  
Shumei Cui ◽  
Weiduo Zhao ◽  
Shaopeng Wu
Keyword(s):  
System Design ◽  
Thermal Field ◽  
Cooling System ◽  
Water Cooling ◽  
Air Core ◽  
Water Cooling System

Precise simulation analysis of the thermal field in mass concrete with a pipe water cooling system

2015 ◽  
Vol 78 ◽  
pp. 449-459 ◽  
Author(s):  
Xinghong Liu ◽  
Chao Zhang ◽  
Xiaolin Chang ◽  
Wei Zhou ◽  
Yonggang Cheng ◽  
...  
Keyword(s):  
Thermal Field ◽  
Simulation Analysis ◽  
Cooling System ◽  
Mass Concrete ◽  
Water Cooling ◽  
Pipe Water ◽  
Precise Simulation ◽  
Water Cooling System

Multi-Objective Optimization Analysis of Motor Cooling System in Articulated Dump Truck

2011 ◽  
Vol 383-390 ◽  
pp. 4715-4720
Author(s):  
Yan Zhang ◽  
Yan Hua Shen ◽  
Wen Ming Zhang
Keyword(s):  
Field Distribution ◽  
Cooling System ◽  
Dump Truck ◽  
Water Cooling ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Pareto Optimal Set ◽  
Temperature And Pressure ◽  
Water Cooling System ◽  
Optimal Set

In order to ensure the reliable and safe operation of the electric driving motor of the articulated dump truck, water cooling system is installed for each motor. For the best performance of the water cooling system, not only the heat transfer should be enhanced to maintain the motor in relatively low temperature, but also the pressure drop in the water cooling system should be reduced to save energy by reducing the power consumption of the pump. In this paper, the numerical simulation of the cooling progress is completed and the temperature and pressure field distribution are obtained. The multi-objective optimization model is established which involves the cooling system structure, temperature field distribution and pressure field distribution. To improve the computational efficiency, the surrogate model of the simulation about the cooling process is established based on the Response Surface Methodology (RSM). After the multi-objective optimization, the Pareto optimal set is obtained. The proper design point, which could make the average temperature and pressure drop of the cooling system relative desirable, is chosen from the Pareto optimal set.

Design and Development of Water Cooling System for Copper Mold

2021 ◽  
pp. 911-919
Author(s):  
Shashikant S. Jadhav ◽  
Avinash K. Parkhe ◽  
Subhash V. Jadhav ◽  
Samadhan J. Shinde
Keyword(s):  
Cooling System ◽  
Water Cooling ◽  
Copper Mold ◽  
Design And Development ◽  
Water Cooling System

scholarly journals Aurantimonas frigidaquae sp. nov., isolated from a water-cooling system

2008 ◽  
Vol 58 (5) ◽  
pp. 1142-1146 ◽  
Author(s):  
M. S. Kim ◽  
K. T. Q. Hoa ◽  
K. S. Baik ◽  
S. C. Park ◽  
C. N. Seong
Keyword(s):  
Cooling System ◽  
Water Cooling ◽  
Water Cooling System
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