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Ronghua Chen

Researcher at Xi'an Jiaotong University

Publications -  105
Citations -  1109

Ronghua Chen is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Nuclear reactor core & Bubble. The author has an hindex of 14, co-authored 89 publications receiving 658 citations. Previous affiliations of Ronghua Chen include Waseda University.

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Numerical investigation on coalescence of bubble pairs rising in a stagnant liquid

TL;DR: In this article, a two-dimensional numerical simulation of the motion and coalescence of bubble pairs rising in the stationary liquid pool, using the moving particle semi-implicit (MPS) method was performed.
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Numerical investigation on bubble dynamics during flow boiling using moving particle semi-implicit method

TL;DR: In this paper, a two-dimensional numerical simulation of single bubble dynamics during nucleate flow boiling has been performed using moving particle semi-implicit (MPS) method, where a set of moving particles was used to represent the liquid phase.
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Review of Thermal-Hydraulic Issues and Studies of Lead-based fast reactors

TL;DR: In this paper, the main features of typical lead-based fast reactors (LFRs) worldwide are reviewed and current challenges in their development are pointed out, including the flow and heat transfer characteristics of the coolant, thermal-hydraulic analysis of the reactor core, lead pool and reactor system.
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Numerical investigation on melt freezing behavior in a tube by MPS method

TL;DR: In this article, a moving particle semi-implicit (MPS) method was adopted to analyze the melt penetration and solidification behaviors in a tube, and the numerical results had been compared with the downward and upward melt injection experiments, respectively.
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Analysis of CHF in saturated forced convective boiling on a heated surface with impinging jets using artificial neural network and genetic algorithm

TL;DR: In this paper, a three-layer Back Propagation (BP) algorithm artificial neural network (ANN) for predicting critical heat flux (CHF) in saturated forced convective boiling on a heated surface with impinging jets was trained successfully with a root mean square (RMS) error of 17.39%.