Ground-Based Near-Space-Oriented Spray Cooling: Temperature Uniformity Analysis and Performance Prediction

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

doi:10.2514/1.t5547

Cited by 21 publications

(4 citation statements)

References 29 publications

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“…In addition, how to adjust the flow of the working medium according to the thermal load so that the temperature of electronic components can be controlled within the range need to be explored in the future. At the present, a machine learning (ML) algorithm has been successfully applied in the spray cooling field (Wang et al, 2019). Machine learning mainly uses the training dataset to train the neural network model where the pattern of the focused spray cooling system can be learnt.…”

Section: Perspectives Of Spray Cooling In the Aerospace Fieldmentioning

confidence: 99%

“…Researches showed that machine learning can provide accurate prediction for complex thermal-fluid system due to high reliability. Wang et al (2019) used a backpropagation neural network method to predict the thermal performance both in flash-boiling and subcooled regions with six parameters input and the error of ±7% was observed. Moreover, a transient thermal performance prediction was also developed using ML (Wang et al, 2021b) which paves the way for ML-based temperature control of spray cooling as computational capabilities have been sufficiently developed (Wang et al, 2022b;Cao et al, 2022).…”

Section: Perspectives Of Spray Cooling In the Aerospace Fieldmentioning

confidence: 99%

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Progress of aerospace-based spray cooling applications

Chen

2022

Front. Energy Res.

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Section: Perspectives Of Spray Cooling In the Aerospace Fieldmentioning

confidence: 99%

Section: Perspectives Of Spray Cooling In the Aerospace Fieldmentioning

confidence: 99%

Progress of aerospace-based spray cooling applications

Chen

2022

Front. Energy Res.

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“…In general, typical cooling techniques for electric machine applications are based on air cooling systems [9][10][11], phase-change material cooling systems [12,13] and liquid cooling systems [14][15][16][17][18]. Because liquids have a higher heat transfer capacity than air of the same mass, in applications where there is a large amount of heat generated continuously, the liquid cooling systems are more suitable than air cooling systems in terms of heat transfer performance and size of the cooling system.…”

Section: Introductionmentioning

confidence: 99%

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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“…In order to remove waste heat from the electrical rotating machine effectively and maintain the operating temperature in an acceptable range, various heat removal technologies are applied to the heat dissipation of the electrical rotating machine. In general, three common cooling methods for thermal management of the electrical rotating machine were studied: (1) air cooling [ 7 , 8 , 9 ], (2) PCM-based cooling [ 10 , 11 , 12 ], and (3) liquid cooling [ 13 , 14 , 15 , 16 , 17 ]. Nakahama et al [ 7 ] proposed a unidirectional cooling airflow for the thermal protection of an open-type motor that is installed in the electric vehicle.…”

Section: Introductionmentioning

confidence: 99%

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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Ground-Based Near-Space-Oriented Spray Cooling: Temperature Uniformity Analysis and Performance Prediction

Cited by 21 publications

References 29 publications

Progress of aerospace-based spray cooling applications

Progress of aerospace-based spray cooling applications

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

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

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