Effects of spray-deposited oxidized multi-wall carbon nanotubes and graphene on pool-boiling critical heat flux enhancement

Park, Sung-Seek; Kim, Yong Hwan; Jeon, Yong Han; Hyun, Myung Taek; Kim, Nam‐Jin

doi:10.1016/j.jiec.2014.09.041

Cited by 33 publications

(7 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

Boiling Heat Transfer Evaluation in Nanoporous Surface Coatings

et al. 2021

View full text Add to dashboard Cite

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.

show abstract

Section: Data Collectionmentioning

confidence: 99%

Boiling Heat Transfer Evaluation in Nanoporous Surface Coatings

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Park and his co-authors [171,172,173,174,175] examined the effect of flow and pool boiling on critical heat transfer using GE, GONs, Al 24.…”

Section: A C C E P T E D M a N U S C R I Pmentioning

confidence: 99%

“…The detail findings in the enhancement of boiling heat transfer coefficient to enhance the critical heat flux based on graphene nanofluids have been reported in Table 9. It can be seen from the investigation by researchers [169,170,156,171,172,173,174,175,176,177,178] on pool and flow boiling heat transfer that enhancement in CHF varies with increasing concentration of loading, contact angle and surface temperature. Additionally, surface modification plays a significant role in pool boiling CHF enhancement, which requires lower concentration of nanoparticle resulting in reduced deposition layers.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…DW, Boric acid, LiOH, TSP, and R-123 in different investigation, summarized in Table9. Park et al[174], examined the difference of CHF with MWCNTs and GE in pool-boiling CHF with spray-deposition. It was found that MWCNTs and GE based nanofluids had maximum pool-boiling CHF of 20% and 21.94% at 19.8 • and 21.7 • contact angles, respectively, with heat transfer surface, as shown in Figure…”

mentioning

confidence: 99%

See 1 more Smart Citation

A review on graphene based nanofluids: Preparation, characterization and applications

Arshad

Jabbal

Yan

et al. 2019

Journal of Molecular Liquids

165

View full text Add to dashboard Cite

A wide range of heat transfer systems require efficient heat transfer management from source to sink and vice versa. Over the last decade, graphene nanoparticles, matrix nanofluids have been one of the most investigated nanoparticles for a wide range of engineering applications. Graphene-based nanoparticles have several advantages over other nanoparticles: high stability, high thermal conductivity, low erosion and corrosion, and higher carrier mobility. Graphene-based nanofluids have found applications such as heat transfer, defect sensor, anti-infection therapy, energy harvesting systems, biomedical and cosmetics. With advancement of technology, more compact and efficient cooling media are needed to ensure efficiency and reliability of engineering systems and devices. This research study reports an overview of experimental and numerical investigations of graphene nanometer-sized particles with different base host fluids for major engineering applications of energy transfer systems and further thermophysical properties of graphene nanofluids.

show abstract

“…Results showed the highest performance for 3D microstructure surfaces for boiling heat transfer using PF5060 and deionized water. Park et al [190] applied spray coating of oxidized MWCNT and Gr coating, as shown in Figure 17. The contact angle on the substrate was noted to decrease with increasing spray coating time.…”

Section: Carbon Based Nanoparticles Coatingsmentioning

confidence: 99%

Micro-Nano Scale Surface Coating for Nucleate Boiling Heat Transfer: A Critical Review

2018

View full text Add to dashboard Cite

Nucleate boiling is a phase change heat transfer process with a wide range of applications i.e., steam power plants, thermal desalination, heat pipes, domestic heating and cooling, refrigeration and air-conditioning, electronic cooling, cooling of turbo-machinery, waste heat recovery and much more. Due to its quite broad range of applications, any improvement in this area leads to significant economic, environmental and energy efficiency outcomes. This paper presents a comprehensive review and critical analysis on the recent developments in the area of micro-nano scale coating technologies, materials, and their applications for modification of surface geometry and chemistry, which play an important role in the enhancement of nucleate boiling heat transfer. In many industrial applications boiling is a surface phenomenon, which depends upon its variables such as surface area, thermal conductivity, wettability, porosity, and roughness. Compared to subtractive methods, the surface coating is more versatile in material selection, simple, quick, robust in implementation and is quite functional to apply to already installed systems. The present status of these techniques for boiling heat transfer enhancement, along with their future challenges, enhancement potentials, limitations, and their possible industrial implementation are also discussed in this paper.

show abstract

Effects of spray-deposited oxidized multi-wall carbon nanotubes and graphene on pool-boiling critical heat flux enhancement

Cited by 33 publications

References 16 publications

Boiling Heat Transfer Evaluation in Nanoporous Surface Coatings

Boiling Heat Transfer Evaluation in Nanoporous Surface Coatings

A review on graphene based nanofluids: Preparation, characterization and applications

Micro-Nano Scale Surface Coating for Nucleate Boiling Heat Transfer: A Critical Review

Contact Info

Product

Resources

About