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Pressure Drop Estimation of Two-Phase Adiabatic Flows in Smooth Tubes: Development of Machine Learning-Based Pipelines.
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- Fluids, 2024, v. 9, n. 8, p. 181, doi. 10.3390/fluids9080181
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Horizontal Stratified Air–Foam–Water Flows: Preliminary Modelling Attempts with OLGA.
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- Fluids, 2023, v. 8, n. 3, p. 89, doi. 10.3390/fluids8030089
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- Article
Two-phase stratified flow in horizontal pipes: A CFD study to improve prediction of pressure gradient and void fraction.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2023, v. 191, p. 38, doi. 10.1016/j.cherd.2023.01.016
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- Article
Machine learning based models for pressure drop estimation of two-phase adiabatic air-water flow in micro-finned tubes: Determination of the most promising dimensionless feature set.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2021, v. 167, p. 252, doi. 10.1016/j.cherd.2021.01.002
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- Article
Just-in-Time Morning Ramp-Up Implementation in Warehouses Enabled by Machine Learning-Based Predictive Modelling: Estimation of Achievable Energy Saving through Simulation.
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- Energies (19961073), 2024, v. 17, n. 17, p. 4401, doi. 10.3390/en17174401
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- Article
Heat Transfer Estimation in Flow Boiling of R134a within Microfin Tubes: Development of Explainable Machine Learning-Based Pipelines.
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- Energies (19961073), 2024, v. 17, n. 16, p. 4074, doi. 10.3390/en17164074
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- Article