Physics-informed machine learning-aided framework for prediction of minimum film boiling temperature

Deep learning predicts boiling heat transfer

(2021) Youngjoon Suh et al.   Scientific Reports

Improved departure from nucleate boiling prediction in rod bundles using a physics-informed machine learning-aided framework

(2021) Xingang Zhao et al.   NUCLEAR ENGINEERING AND DESIGN

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

(2021) Sorour Alotaibi et al.   Frontiers in Energy Research

Implementation of fiber optic temperature sensors in quenching heat transfer analysis

(2021) Paul Hurley et al.   APPLIED THERMAL ENGINEERING

Machine learning predictions of critical heat fluxes for pillar-modified surfaces

(2021) Brandon Swartz et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

High-resolution prediction of quenching behavior using machine learning based on optical fiber temperature measurement

(2021) Kyung Mo Kim et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Wall temperature prediction at critical heat flux using a machine learning model

(2020) Hae Min Park et al.   ANNALS OF NUCLEAR ENERGY

Prediction of the minimum film boiling temperature using artificial neural network

(2020) Ammar M. Bahman et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Surface-roughness-boosted critical heat flux enhancement during quenching boiling on wicking surfaces

(2020) Jia-Yi Zhang et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Prediction of critical heat flux for narrow rectangular channels in a steady state condition using machine learning

(2020) Huiyung Kim et al.   Nuclear Engineering and Technology

Automatic detection of the onset of film boiling using convolutional neural networks and Bayesian statistics

(2019) Gustavo M. Hobold et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Impact of system parameters on quenching heat transfer in the candidate materials for accident tolerant fuel-cladding in LWRs

(2019) Jun-young Kang et al.   ANNALS OF NUCLEAR ENERGY

Application of Deep Belief Network for Critical Heat Flux Prediction on Microstructure Surfaces

(2019) Mingfu He et al.   NUCLEAR TECHNOLOGY

Online, quasi-real-time analysis of high-resolution, infrared, boiling heat transfer investigations using artificial neural networks

(2019) Madhumitha Ravichandran et al.   APPLIED THERMAL ENGINEERING

On the prediction of critical heat flux using a physics-informed machine learning-aided framework

(2019) Xingang Zhao et al.   APPLIED THERMAL ENGINEERING

Experimental investigation on transient boiling heat transfer during quenching of fuel cladding surfaces

(2019) Jinbiao Xiong et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

An artificial neural network model to predict mini/micro-channels saturated flow boiling heat transfer coefficient based on universal consolidated data

(2019) Yue Qiu et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

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

(2018) Shikha A. Ebrahim et al.   APPLIED THERMAL ENGINEERING

Transient pool boiling heat transfer of oxidized and roughened Zircaloy-4 surfaces during water quenching

(2018) Hwasung Yeom et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Subcooled water quenching on a super-hydrophilic surface under atmospheric pressure

(2018) Jun-young Kang et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Control of minimum film-boiling quench temperature of small spheres with micro-structured surface

(2018) Kang Jun-young et al.   INTERNATIONAL JOURNAL OF MULTIPHASE FLOW

Physics-informed machine learning approach for augmenting turbulence models: A comprehensive framework

(2018) Jin-Long Wu et al.   Physical Review Fluids

Pool boiling heat transfer and quench front velocity during quenching of a rodlet in subcooled water: Effects of the degree of subcooling

(2017) Jia-Qi Li et al.   EXPERIMENTAL HEAT TRANSFER

Parametric investigation on transient boiling heat transfer of metal rod cooled rapidly in water pool

(2017) Chi Young Lee et al.   NUCLEAR ENGINEERING AND DESIGN

Effects of SiC and Graphene Oxide Nanoparticle–Coated Surfaces on Quenching Performance

(2015) Kyung Mo Kim et al.   NUCLEAR TECHNOLOGY

RELAP5 and TRACE assessment of the Achilles natural reflood experiment

(2013) Ovidiu-Adrian Berar et al.   NUCLEAR ENGINEERING AND DESIGN

NANOTECHNOLOGY FOR ADVANCED NUCLEAR THERMAL-HYDRAULICS AND SAFETY: BOILING AND CONDENSATION

(2011) In-Cheol Bang et al.   Nuclear Engineering and Technology

CFD and artificial neural network modeling of two-phase flow pressure drop

(2009) Asghar Alizadehdakhel et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

On the quenching of steel and zircaloy spheres in water-based nanofluids with alumina, silica and diamond nanoparticles

(2009) Hyungdae Kim et al.   INTERNATIONAL JOURNAL OF MULTIPHASE FLOW

Collapsing criteria for vapor film around solid spheres as a fundamental stage leading to vapor explosion

(2009) Roy Freud et al.   NUCLEAR ENGINEERING AND DESIGN