Прати
Keivan Ardam
Keivan Ardam
Department of Energy Engineering, Politecnico di Milano
Верификована је имејл адреса на mail.polimi.it
Наслов
Навело
Навело
Година
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 …
B Najafi, K Ardam, A Hanušovský, F Rinaldi, LPM Colombo
Chemical Engineering Research and Design 167, 252-267, 2021
272021
Machine learning based pressure drop estimation of evaporating R134a flow in micro-fin tubes: Investigation of the optimal dimensionless feature set
K Ardam, B Najafi, A Lucchini, F Rinaldi, LPM Colombo
International Journal of Refrigeration 131, 20-32, 2021
202021
Heat transfer estimation in flow boiling of R134a within microfin tubes utilizing physics-inspired machine learning
S Milani, K Ardam, B Najafi, LPM Colombo, A Lucchini, F Rinaldi
Available at SSRN 4175964, 2022
32022
Pressure Drop Estimation of Two-Phase Adiabatic Flows in Smooth Tubes: Development of Machine Learning-Based Pipelines
F Bolourchifard, K Ardam, F Dadras Javan, B Najafi, ...
Fluids 9 (8), 181, 2024
12024
Heat Transfer Estimation in Flow Boiling of R134a within Microfin Tubes: Development of Explainable Machine Learning-Based Pipelines
S Milani, K Ardam, F Dadras Javan, B Najafi, A Lucchini, IM Carraretto, ...
Energies 17 (16), 4074, 2024
2024
Application of machine learning in frictional pressure drop estimation of two-phase flow: a dimensionless approach
K ARDAM
Politecnico di Milano, 2018
2018
Reproducible Machine Learning/Physical Based Models for Pressure Drop Estimation in Two-Phase Adiabatic Flows in Smooth Tubes
K Ardam, B Najafi, A Hanusovsky, P Vega Pinchet Domecq, F Rinaldi, ...
Physical Based Models for Pressure Drop Estimation in Two-Phase Adiabatic …, 0
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