| Nombre | JUAN MANUEL BARROSO MALDONADO |
|---|---|
| Área | INGENIERÍAS Y DESARROLLO TECNOLÓGICO |
| Campo | INGENIERÍA |
| Disciplina | INGENIERÍA MECÁNICA |
| Especialidad | ENERGETICA |
| CVU | 514798 |
| Institución | |
|---|---|
| Dependencia | SECRETARIA ACADEMICA |
| Entidad | COAHUILA DE ZARAGOZA |
| Nivel | 1 |
| Vigencia | Inicio: 01/01/2024 |
| Fin: 31/12/2028 |
Publicaciones ORCID
- 2022
- Correlated-informed neural networks: A new machine learning framework to predict pressure drop in micro-channels International Journal of Heat and Mass Transfer
- Internal Heat Exchanger Influence in Operational Cost and Environmental Impact of an Experimental Installation Using Low GWP Refrigerant for HVAC Conditions Sustainability
- Correlated-Informed Neural Networks: A New Machine Learning Framework to Predict Pressure Drop in Micro-Channels
- 2021
- A Review of Recent Research on the Use of R1234yf as an Environmentally Friendly Fluid in the Organic Rankine Cycle Sustainability
- 2019
- ANN-based correlation for frictional pressure drop of non-azeotropic mixtures during cryogenic forced boiling Applied Thermal Engineering
- 2018
- Exergy assessment of a refrigeration plant using computational intelligence based on hybrid learning methods International Journal of Refrigeration
- Experimental exergy analysis of R513A to replace R134a in a small capacity refrigeration system Energy
- Prediction of heat transfer coefficients for forced convective boiling of N2-hydrocarbon mixtures at cryogenic conditions using artificial neural networks Cryogenics
- 2017
- Predicting the energy performance of a reciprocating compressor using artificial neural networks and probabilistic neural networks,Predicción del desempeño energético de un compresor reciprocante usando redes neuronales artificiales y redes neuronales probabilísticas
- 2015
- A brief model to evaluate the behaviour of R134A/R1234YF mixtures on a reciprocating compressor ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
