A Near-space-oriented Large-space Spray Cooling System: Temperature Uniformity Analysis and Performance Prediction Using Neural Network

Wang, Ji‐Xiang; Li, Yunze; Li, Guangchao; Yu, Xi-Kui; Ji, Xin-Yan

doi:10.2514/6.2018-4182

2018 Joint Thermophysics and Heat Transfer Conference 2018

DOI: 10.2514/6.2018-4182

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A Near-space-oriented Large-space Spray Cooling System: Temperature Uniformity Analysis and Performance Prediction Using Neural Network

Ji‐Xiang Wang

Yunze Li

Guangchao Li

et al.

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Cited by 2 publications

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Numerical Investigation on the Thermal Performance of Nanofluid-Based Cooling System for Synchronous Generators

Xiong

et al. 2019

Entropy

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This paper presents a nanofluid-based cooling method for a brushless synchronous generator (BLSG) by using Al2O3 lubricating oil. In order to demonstrate the superiority of the nanofluid-based cooling method, analysis of the thermal performance and efficiency of the nanofluid-based cooling system (NBCS) for the BLSG is conducted along with the modeling and simulation cases arranged for NBCS. Compared with the results obtained under the base fluid cooling condition, results show that the nanofluid-based cooling method can reduce the steady-state temperature and power losses in BLSG and decrease the temperature settling time and changing ratio, which demonstrate that both steady-state and transient thermal performance of NBCS are improved as nanoparticle volume fraction (NVF) in nanofluid increases. Besides, although the input power of cycling pumps in NBCS has ~30% increase when the NVF is 10%, the efficiency of the NBCS has a slight increase because the 4.1% reduction in power loss of BLSG is bigger than the total incensement of input power of the cycling pumps. The results illustrate the superiority of the nanofluid-based cooling method, and it indicates that the proposed method has a broad application prospect in the field of thermal control of onboard synchronous generators with high power density.

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Numerical Investigation on the Thermal Performance of Nanofluid-Based Cooling System for Synchronous Generators

Xiong

et al. 2019

Entropy

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On Heat Transfer Performance of Cooling Systems Using Nanofluid for Electric Motor Applications

Deriszadeh

Monte

2020

Entropy

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This paper studies the fluid flow and heat transfer characteristics of nanofluids as advance coolants for the cooling system of electric motors. Investigations are carried out using numerical analysis for a cooling system with spiral channels. To solve the governing equations, computational fluid dynamics and 3D fluid motion analysis are used. The base fluid is water with a laminar flow. The fluid Reynolds number and turn-number of spiral channels are evaluation parameters. The effect of nanoparticles volume fraction in the base fluid on the heat transfer performance of the cooling system is studied. Increasing the volume fraction of nanoparticles leads to improving the heat transfer performance of the cooling system. On the other hand, a high-volume fraction of the nanofluid increases the pressure drop of the coolant fluid and increases the required pumping power. This paper aims at finding a trade-off between effective parameters by studying both fluid flow and heat transfer characteristics of the nanofluid.

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A Near-space-oriented Large-space Spray Cooling System: Temperature Uniformity Analysis and Performance Prediction Using Neural Network

Cited by 2 publications

References 21 publications

Numerical Investigation on the Thermal Performance of Nanofluid-Based Cooling System for Synchronous Generators

Numerical Investigation on the Thermal Performance of Nanofluid-Based Cooling System for Synchronous Generators

On Heat Transfer Performance of Cooling Systems Using Nanofluid for Electric Motor Applications

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