Effects of surface orientation on nucleate boiling heat transfer in a pool of water under atmospheric pressure

Jung, Satbyoul; Kim, Hyungdae

doi:10.1016/j.nucengdes.2016.06.013

Cited by 34 publications

(4 citation statements)

References 18 publications

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“…The boiling HTC is reported to be influenced by several factors such as: surface abrasiveness [30], flow regime [24,31,32] and boiling surface orientation [33][34][35]. Taking into account the additional influence of a possible change in the boiling HTC, the current analysis considers three distinct cases.…”

Section: Theoretical Consideration and Zero-dimensional Modelmentioning

confidence: 99%

Theoretical and Numerical Analysis of Freezing Risk During LNG Evaporation Process

2019

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The liquid natural gas (LNG) boiling process concerns most LNG applications due to a need for regasification. Depending on the pressure, the equilibrium temperature of LNG is 112–160 K. The low boiling temperature of LNG makes the vaporization process challenging because of a large temperature difference between the heating medium and LNG. A significant risk included in the regasification process is related to the possibility of solid phase formation (freezing of the heating fluid). A solid phase formation can lead to an increase in pressure loss, deterioration in heat transfer, or even to the destruction of the heat exchanger. This prompts the need for a better understanding of the heat transfer during the regasification process to help avoid a solid phase formation. The present research is focused on the investigation of the mutual interactions between several parameters, which play a significant role in the regasification process. The research is based on a zero-dimensional (0D) model, which was validated through the comparison with a state-of-the-art Computational Fluid Dynamics (CFD) model. This made fast calculations and the study of the risk of freezing for a wide range of parameter space possible, including the LNG boiling regime. The boiling regime of LNG was shown to be a key factor in determining the risk of freezing.

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Section: Theoretical Consideration and Zero-dimensional Modelmentioning

confidence: 99%

Theoretical and Numerical Analysis of Freezing Risk During LNG Evaporation Process

2019

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“…Literatürde buhar kabarcığının dinamik hareketi ile ilgili birçok çalışmada buhar kabarcığı kopma çapı dairesel forma sahip buhar kabarcıklarının kopma anındaki çapı hesap edilerek gerçekleştirilmiştir. (Chen et al, 2017;Jung & Kim, 2016;Sathyabhama & Dinesh, 2017)…”

Section: Görüntü İşleme Tekniğiunclassified

Experimental Investigation of Heat Transfer Effects of Mechanical Agitation in Pool Boiling

Furkan

Sahin

Alic

et al. 2020

Isı Bilimi Ve Tekniği Dergisi

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Özet: Bu çalışmada, havuz kaynamada ısı transferini iyileştirme metotlarından biri olan mekanik çalkalamanın ısı transfer katsayısına etkisi deneysel olarak araştırılmıştır. Deneysel çalışma kapsamında bir deney düzeneği kurulmuştur. Deney akışkanı olarak saf su kullanılmıştır. Deneylerde havuz içerisinde mekanik çalkantı oluşturmak amacıyla farklı devir hızlarında çalışan bir adet 100 mm çapında aksiyel fan kanadı kullanılmıştır. Deneylerde 100 mm uzunluğunda 20 mm çapında silindirik çelik ısıtıcı kullanılmıştır. Deneyler havuz kaynamada en yüksek ısı transfer katsayılarının elde edildiği kabarcıklı kaynama bölgesinde (su için ∆T 5-30 ºC) gerçekleştirilmiştir. Deneyler 9 farklı ısıtıcı gücünde (17, 23, 29, 38, 47, 58, 70, 83 ve 94 kW/m 2) ve 5 farklı mekanik karıştırıcı devrinde (0, 55, 139, 205 ve 212 d/d) gerçekleştirilmiştir. Isı transferi katsayısının, ısıtıcı gücün ve mekanik karıştırıcının devir sayısının artmasıyla arttığı tespit edilmiştir. Isıtıcı gücün 17 kW/m 2 den 94 kW/m 2 ye yükseltilmesiyle (mekanik karıştırıcının 55 d/d da sabit tutulmuştur), ısı transferi katsayının yaklaşık %10 oranında arttığı belirlenmiştir. Düşük ısıtıcı gücünde (17 kW/m 2 'de), devir sayısının 0 d/d'dan 212 d/d'ya çıkartılmasıyla, ısı transferi katsayısının %190 oranında iyileştiği tespit edilmiştir.

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“…Hendricks and Sharp experimentally studied each individual bubbles using high speed camera, and they showed that the temperature drop was related to bubble growth Hendricks and Sharp (1964). The reference equation can be found in Jung and Kim (2016). As follows;…”

Section: Microlayer Evaporatingmentioning

confidence: 99%

Optimization of the Pool Boiling Heat Transfer in the Region of the Isolated Bubbles using the ABC Algorithm

Alic¹,

Çermik²,

Tokgöz³

et al. 2019

JAFM

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The region of the isolated bubble regime, in which the bubbling starts, is a very significant process for boiling heat transfer. In this study, Artificial Bee Colony algorithm (ABC), which is mainly based on the searching optimum foods sources for the bees, has been used for the optimization of the pool boiling heat transfer calculation. The ABC algorithm is very handy for numerical analysis. The ABC algorithm has been compared with a genetic algorithm as well as other well-known correlation models for pool boiling heat transfer calculation. The ABC algorithm is found to be useful for any boundary conditions. The boundary conditions have been changed in order to improve the results. Results show that the ABC algorithm works faster than the genetic algorithm for the given problem. The ABC algorithm also predicts less average absolute error when compared with other well-known correlations as well as the optimization using the genetic algorithm.

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Effects of surface orientation on nucleate boiling heat transfer in a pool of water under atmospheric pressure

Cited by 34 publications

References 18 publications

Theoretical and Numerical Analysis of Freezing Risk During LNG Evaporation Process

Theoretical and Numerical Analysis of Freezing Risk During LNG Evaporation Process

Experimental Investigation of Heat Transfer Effects of Mechanical Agitation in Pool Boiling

Optimization of the Pool Boiling Heat Transfer in the Region of the Isolated Bubbles using the ABC Algorithm

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