Parametric effects on pool boiling heat transfer and critical heat flux: A critical review

Name: Parametric effects on pool boiling heat transfer and critical heat flux: A critical review
Author: Emir, Tolga, Ourabi, H., Budaklı, M., Arık, Mehmet

İsim	Parametric effects on pool boiling heat transfer and critical heat flux: A critical review
Yazar	Emir, Tolga, Ourabi, H., Budaklı, M., Arık, Mehmet
Basım Tarihi:	2022-12
Basım Yeri	- ASME
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1043-7398
Kayıt Numarası	67ec50bc-00a5-4eed-a87d-b2644b9cd727
Lokasyon	Mechanical Engineering
Tarih	2022-12
Notlar	Deutsche Forschungsgemeinschaft ; EVATEG Research Center at Ozyegin University
Örnek Metin	Pool boiling heat transfer offers high-performance cooling opportunities for thermal problems of electronics limited with high heat fluxes. Therefore, many researchers have been extensively studying over the last six decades. This paper presents a critical literature review of various parametric effects on pool boiling heat transfer and critical heat flux (CHF) such as pressure, subcooling, surface topography, surface orientation, working fluid, and combined effects. To achieve an optimal heat removal solution for a particular problem, each of these parameters must be understood. The governing mechanisms are discussed separately, and various options related to the selection of appropriate working fluids are highlighted. A broad summary of correlations developed until now for predicting CHF is presented with their ranges of validity. While proposed correlations for predicting CHF have been quite promising, they still have a considerable uncertainty (625%). Finally, a correlation proposed by Professor Avram Bar-Cohen and his team (thermal management of electronics (TME) correlation) is compared with the experimental dataset published in previous studies. It shows that the uncertainty band can be further narrowed down to 612.5% for dielectric liquids by using TME correlation. Furthermore, this correlation has been enhanced to predict CHF values underwater above 50 W/cm2 by applying a genetic algorithm, and new perspectives for possible future research activities are proposed.
DOI	10.1115/1.4054184
Cilt	144

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Parametric effects on pool boiling heat transfer and critical heat flux: A critical review

Yazar Emir, Tolga, Ourabi, H., Budaklı, M., Arık, Mehmet

Basım Tarihi 2022-12

Basım Yeri - ASME

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1043-7398

Kayıt Numarası 67ec50bc-00a5-4eed-a87d-b2644b9cd727

Lokasyon Mechanical Engineering

Tarih 2022-12

Notlar Deutsche Forschungsgemeinschaft ; EVATEG Research Center at Ozyegin University

Örnek Metin Pool boiling heat transfer offers high-performance cooling opportunities for thermal problems of electronics limited with high heat fluxes. Therefore, many researchers have been extensively studying over the last six decades. This paper presents a critical literature review of various parametric effects on pool boiling heat transfer and critical heat flux (CHF) such as pressure, subcooling, surface topography, surface orientation, working fluid, and combined effects. To achieve an optimal heat removal solution for a particular problem, each of these parameters must be understood. The governing mechanisms are discussed separately, and various options related to the selection of appropriate working fluids are highlighted. A broad summary of correlations developed until now for predicting CHF is presented with their ranges of validity. While proposed correlations for predicting CHF have been quite promising, they still have a considerable uncertainty (625%). Finally, a correlation proposed by Professor Avram Bar-Cohen and his team (thermal management of electronics (TME) correlation) is compared with the experimental dataset published in previous studies. It shows that the uncertainty band can be further narrowed down to 612.5% for dielectric liquids by using TME correlation. Furthermore, this correlation has been enhanced to predict CHF values underwater above 50 W/cm2 by applying a genetic algorithm, and new perspectives for possible future research activities are proposed.

DOI 10.1115/1.4054184

Cilt 144