Porous anodic alumina coating for optimisation of pool-boiling performance

Nazari, A.; Saedodin, Seyfolah

doi:10.1080/02670844.2016.1199187

Cited by 12 publications

(4 citation statements)

References 28 publications

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“…In this study, the authors collected test results from several sources in the literature [14,16,[18][19][20][21][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]. These works report the pool boiling performance of different working fluids such as water, dielectric liquids, and liquid nitrogen subject to different types of nanoporous coated surfaces.…”

Section: Data Collectionmentioning

confidence: 99%

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Boiling Heat Transfer Evaluation in Nanoporous Surface Coatings

et al. 2021

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The present study develops a deep learning method for predicting the boiling heat transfer coefficient (HTC) of nanoporous coated surfaces. Nanoporous coated surfaces have been used extensively over the years to improve the performance of the boiling process. Despite the large amount of experimental data on pool boiling of coated nanoporous surfaces, precise mathematical-empirical approaches have not been developed to estimate the HTC. The proposed method is able to cope with the complex nature of the boiling of nanoporous surfaces with different working fluids with completely different thermophysical properties. The proposed deep learning method is applicable to a wide variety of substrates and coating materials manufactured by various manufacturing processes. The analysis of the correlation matrix confirms that the pore diameter, the thermal conductivity of the substrate, the heat flow, and the thermophysical properties of the working fluids are the most important independent variable parameters estimation under consideration. Several deep neural networks are designed and evaluated to find the optimized model with respect to its prediction accuracy using experimental data (1042 points). The best model could assess the HTC with an R2 = 0.998 and (mean absolute error) MAE% = 1.94.

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Section: Data Collectionmentioning

confidence: 99%

“…Range of the considered parameters[14,16,[18][19][20][21][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39].…”

mentioning

confidence: 99%

Boiling Heat Transfer Evaluation in Nanoporous Surface Coatings

et al. 2021

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“…that influence CHF and BHTC. There are several techniques to modify these properties like porous coating [7,12,19,26,33,45,47,52,55,65,67,74], nanotexture [14,27,28,38,40,44,50,73], nanowire [34,35,49,58,59,70,71], microstructures [69], microchannels [20,21,25,51,60,63], pin-fin [22,32,54], nanoparticle deposition [1-3, 8, 18, 53] etc.…”

Section: Introductionmentioning

confidence: 99%

Pool Boiling Heat Transfer on a Micro‐Structured Copper Oxide Surface with Varying Wettability

et al. 2022

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Copper surface is modified to copper oxide surface for high heat flux electronics applications. Copper oxide surface is prepared by chemical etching using NaOH and (NH 4 ) 2 S 2 O 8 . A pool boiling experiment is conducted to investigate the critical heat flux (CHF) and boiling heat transfer coefficient (BHTC). The results indicate that BHTC of all copper oxide surfaces are enhanced remarkably. Bubble dynamics are also analyzed by means of a high-speed camera. Bubble visualization demonstrates that the active nucleation sites for the copper oxide surfaces are higher than the bare copper surface.

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“…A progressive crystallization of TiO 2 can be observed as samples are anodised. By altering anodisation parameters such as voltage and electrolyte composition, an anodic film can be formed on the titanium substrate [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Effect of Pulsed Current Frequency and Anodisation Time on Surface Properties of Electropolished and Nonelectropolished Titanium Substrates

Marba

Regone²,

Codaro

et al. 2018

International Journal of Corrosion

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Surface characteristics of anodic films formed on electropolished and nonelectropolished titanium substrates have been evaluated using different sets of anodisation parameters at room temperature. Surfaces were analysed by light microscopy, Raman spectroscopy, scanning electron microscopy, and X-ray diffraction. The formation of TiO2 anatase phase was only detected on nonelectropolished substrates and there seems to be a larger amount of anatase as samples are anodised; consequently, the smallest crystals were obtained at the highest frequency of pulsed current. EIS results showed that there is no difference in the degree of compactness along the layer thickness.

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Porous anodic alumina coating for optimisation of pool-boiling performance

Cited by 12 publications

References 28 publications

Boiling Heat Transfer Evaluation in Nanoporous Surface Coatings

Boiling Heat Transfer Evaluation in Nanoporous Surface Coatings

Pool Boiling Heat Transfer on a Micro‐Structured Copper Oxide Surface with Varying Wettability

Effect of Pulsed Current Frequency and Anodisation Time on Surface Properties of Electropolished and Nonelectropolished Titanium Substrates

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