Using deep learning to recognize liquid–liquid flow patterns in ...
May 7, 2020 · In this work, an automatic liquid–liquidtwo-phase flow pattern recognition platform was developed to help circumvent the difficulties in labor-intensive hydrodynamics studies.
A study of online monitoring for two‐phase flow patterns in a ...
Feb 22, 2025 · Based on this device, photoelectric waveforms of gas–liquid and liquid–liquid two-phase flows in a microchannel were collected, and then online flow pattern detection was …
Virtual Meter with Flow Pattern Recognition Using Deep Learning …
May 15, 2024 · The results show that deep neural networks achieved up to 98% accuracy in flow pattern prediction and 1% mean absolute prediction error (MAPE) in flow rates, highlighting …
A Framework for Flow Pattern Analysis and Identification Based …
A novel deep learning classification model, the dual-input feature fusion network (DIFFN), is proposed to use two types of grayscale images as network inputs to complete flow pattern …
Flow pattern recognition for horizontal gas-liquid two-phase flow …
Mar 1, 2025 · With extracted time-domain features as the input, a hybrid deep-learning model which integrates convolutional neural network and bidirectional long short-term memory is …
A hybrid deep learning model towards flow pattern …
Apr 1, 2025 · A novel hybrid deep learning model for flow pattern identification, the TFN-STFT-CBAM-Anomaly Transformer, was proposed in this paper. The model leverages the TFT …
Machine learning applications to predict two-phase flow patterns
Flow patterns are affected by physical variables such as superficial velocity, viscosity, density, and superficial tension. They also depend on the construction characteristics of the pipe, such …
A Deep Learning-Based Approach for Two-Phase Flow Pattern ...
Hence, this work proposes using end-to-end state-of-the-art (SOTA) time-series classification methods (ResNet, LSTM-FCN, and TSTPlus) for two-phase flow patterns (churn, bubbly, and …
A deep learning-based algorithm for rapid tracking and …
Aug 9, 2024 · Bubble monitoring is crucial in these applications as it can enhance mass and heat transfer efficiency, improve flow stability, and ensure the safe operation of systems. This study …
Deep Learning as a Tool to Predict Flow Patterns in Two-Phase Flow
Mar 16, 2024 · In this paper, we use deep learning methods, and in particular employ the multilayer perceptron, to build an algorithm that can predict flow pattern in two-phase flow from …
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