Parametric investigation of film boiling heat transfer on the quenching of vertical rods in water pool

Ebrahim, Shikha A.; Chang, Sung‐Sik; Cheung, F. B.; Bajorek, Stephen M.

doi:10.1016/j.applthermaleng.2018.05.021

Cited by 56 publications

(19 citation statements)

References 14 publications

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“…The performance of the pool boiling is evaluated by the enhancement in CHF, HTC, T min , and vapor film thickness. In literature, the effects of the following parameters have been studied: substrate material [ 340 ], surface conditions and oxidation [ 341 , 342 ], system pressure [ 343 , 344 ], initial wall temperature [ 345 ], shape and dimension of the testing specimen [ 346 , 347 ], degrees of liquid subcooling [ 348 , 349 , 350 ], surface wettability and vapor–liquid contact angle [ 351 ], surface roughness and wickability [ 352 ], and type of quenchant such as water, oil, or nanofluids [ 353 , 354 ]. Recently, researchers have been focused on the effects of the later parameter on pool boiling heat transfer performance.…”

Section: Thermal Applicationsmentioning

confidence: 99%

Carbon-Based Nanofluids and Their Advances towards Heat Transfer Applications—A Review

et al. 2021

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Nanofluids have opened the doors towards the enhancement of many of today’s existing thermal applications performance. This is because these advanced working fluids exhibit exceptional thermophysical properties, and thus making them excellent candidates for replacing conventional working fluids. On the other hand, nanomaterials of carbon-base were proven throughout the literature to have the highest thermal conductivity among all other types of nanoscaled materials. Therefore, when these materials are homogeneously dispersed in a base fluid, the resulting suspension will theoretically attain orders of magnitude higher effective thermal conductivity than its counterpart. Despite this fact, there are still some challenges that are associated with these types of fluids. The main obstacle is the dispersion stability of the nanomaterials, which can lead the attractive properties of the nanofluid to degrade with time, up to the point where they lose their effectiveness. For such reason, this work has been devoted towards providing a systematic review on nanofluids of carbon-base, precisely; carbon nanotubes, graphene, and nanodiamonds, and their employment in thermal systems commonly used in the energy sectors. Firstly, this work reviews the synthesis approaches of the carbon-based feedstock. Then, it explains the different nanofluids fabrication methods. The dispersion stability is also discussed in terms of measuring techniques, enhancement methods, and its effect on the suspension thermophysical properties. The study summarizes the development in the correlations used to predict the thermophysical properties of the dispersion. Furthermore, it assesses the influence of these advanced working fluids on parabolic trough solar collectors, nuclear reactor systems, and air conditioning and refrigeration systems. Lastly, the current gap in scientific knowledge is provided to set up future research directions.

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Section: Thermal Applicationsmentioning

confidence: 99%

Carbon-Based Nanofluids and Their Advances towards Heat Transfer Applications—A Review

et al. 2021

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“…In the absence of the surface roughness value, the correlation predicted T min with relatively a higher MAE of 10.7% and RSME of 13.3%. Despite that Ebrahim et al (2018) showed a high dependency for surface roughness on the T min predictions, surface roughness data are scarce in the literature.…”

Section: Introductionmentioning

confidence: 97%

“…Thus, investigating the T min point is essential in areas such as metal heat treating, nuclear engineering industry, in a hypothetical large break lossof-coolant accident (LOCA), evaporators and compressors in the air conditioning systems, refrigeration systems, chemical processes, and oil systems (Pettersson et al, 2009;Ramesh and Prabhu, 2015). T min has been widely studied in terms of various parameters such as substrate material (Peterson and Bajorek, 2002), surface conditions and oxidation (Sinha, 2003;Lee et al, 2014), system pressure (Henry, 1974;Sakurai et al, 1984), flow condition (Groeneveld and Stewart, 1982;Carbajo, 1985), initial surface temperature (Kang et al, 2018), rod diameter (Sakurai et al, 1987;Jun-young et al, 2018), liquid subcooling (Adler, 1979;Freud et al, 2009), vapor-liquid contact angle (Ebrahim et al, 2018), surface roughness and microstructure (Peterson and Bajorek, 2002;Carey, 2020), and alternative quenching fluids (Shoji et al, 1990;Lee and Kim, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…The model not only covered a wide range of materials but also the effect of the coolant with an error of ±30%. Ebrahim et al (2018) developed an empirical correlation that involves the effect of liquid subcooling, surface roughness, and surface substrate material. The correlation was valid between 2 and 15 degrees of liquid subcooling, surface roughness between 0.3 and 0.9 µm, and wall thermal properties from 4.15 × 107 to 8.56 × 107 J-s/m 2 -K. When accounting for surface roughness, the results showed that the empirical correlation had an MAE of 1.5% and an RMSE of 9.3%.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of the Minimum Film Boiling Temperature of Quenching Vertical Rods in Water Using Random Forest Machine Learning Algorithm

2021

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A great amount of research is focused, nowadays, on experimental, theoretical, and numerical analysis of transient pool boiling. Knowing the minimum film boiling temperature (Tmin) for rods with different substrate materials that are quenched in distilled water pools at various system pressures is known to be a complex and highly non-linear process. This work aims to develop a new correlation to predict the Tmin in the above process: Random forest machine learning technique is applied to predict the Tmin. The approach trains a machine learning algorithm using a set of experimental data collected from the literature. Several parameters such as liquid subcooling temperature (Tsub), fluid to the substrate material thermophysical properties (βf/βw), and system saturated pressure (Psat) are collected and used as inputs, whereas Tmin is measured and used as the output. Computational results show that the algorithm achieves superior results compared to other correlations reported in the literature.

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“…Furthermore, investigating the reduction in the number of publications between the years 2011 to 2013, the authors have found that during the aforementioned period, researchers have focused essentially on improving the HE designs and the use of renewable sources for providing thermal energy to the system (e.g., solar or biomass). Additionally, the employment of nanofluids has extended beyond that of HEs to applications such as air purification systems [25], quenching media [26][27][28], liquid fuels enhancement [29], medical treatment [30], magnetic sealing [31], nano-lubricants [32,33], and many other usages. This paper will provide an overview of the operating principles of HEs together with a summary of the development of the design of HEs to incorporate the more efficient usage of nanofluids as working media.…”

Section: Introductionmentioning

confidence: 99%

On the Role of Nanofluids in Thermal-hydraulic Performance of Heat Exchangers—A Review

et al. 2020

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Heat exchangers are key components in many of the devices seen in our everyday life. They are employed in many applications such as land vehicles, power plants, marine gas turbines, oil refineries, air-conditioning, and domestic water heating. Their operating mechanism depends on providing a flow of thermal energy between two or more mediums of different temperatures. The thermo-economics considerations of such devices have set the need for developing this equipment further, which is very challenging when taking into account the complexity of the operational conditions and expansion limitation of the technology. For such reasons, this work provides a systematic review of the state-of-the-art heat exchanger technology and the progress towards using nanofluids for enhancing their thermal-hydraulic performance. Firstly, the general operational theory of heat exchangers is presented. Then, an in-depth focus on different types of heat exchangers, plate-frame and plate-fin heat exchangers, is presented. Moreover, an introduction to nanofluids developments, thermophysical properties, and their influence on the thermal-hydraulic performance of heat exchangers are also discussed. Thus, the primary purpose of this work is not only to describe the previously published literature, but also to emphasize the important role of nanofluids and how this category of advanced fluids can significantly increase the thermal efficiency of heat exchangers for possible future applications.

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Parametric investigation of film boiling heat transfer on the quenching of vertical rods in water pool

Cited by 56 publications

References 14 publications

Carbon-Based Nanofluids and Their Advances towards Heat Transfer Applications—A Review

Carbon-Based Nanofluids and Their Advances towards Heat Transfer Applications—A Review

Prediction of the Minimum Film Boiling Temperature of Quenching Vertical Rods in Water Using Random Forest Machine Learning Algorithm

On the Role of Nanofluids in Thermal-hydraulic Performance of Heat Exchangers—A Review

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