Interfacial area transport for bubbly-to-slug transition flows in small diameter pipes

no code implementations • 9 Nov 2020 • Zhuoran Dang, Mamoru Ishii

The models predicting the initiation of drastic intergroup transfer in small diameter pipes in terms of the bubble diameter and the void fraction are developed.

Fluid Dynamics

A physics-informed reinforcement learning approach for the interfacial area transport in two-phase flow

no code implementations • 6 Aug 2019 • Zhuoran Dang, Mamoru Ishii

The case studies on the PIRLF performance also show that the type of reward function that is related to the physical model can affect the framework performance.

reinforcement-learning Reinforcement Learning (RL)

Two-phase flow regime prediction using LSTM based deep recurrent neural network

no code implementations • 30 Mar 2019 • Zhuoran Dang, Mamoru Ishii

Long short-term memory (LSTM) and recurrent neural network (RNN) has achieved great successes on time-series prediction.

Time Series Time Series Prediction