Listar por autoría "0e1d2fb8-4343-4270-8498-73a1d3bf6ea1"
Mostrando ítems 1-3 de 3
-
A comparison between the modeling of a reciprocating compressor using artificial neural network and physical model
Belman, Juan; Ledesma, S.; Barroso-Maldonado, Juan Manuel; Navarro-Esbrí, Joaquín Elsevier (2015)This article presents the development, validation, and comparison of two methods for modeling a reciprocating compressor. Initially, the physical mode is based on eight internal sub-processes that incorporate infinitesimal ... -
Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels
Mota-Babiloni, Adrián; Montanez Barrera, Alejandro; Barroso-Maldonado, Juan Manuel; Bedoya-Santacruz, A.F. Elsevier (2022-05-22)Accurate pressure drop estimation in forced boiling phenomena is important during the thermal analysis and the geometric design of cryogenic heat exchangers. However, current methods to predict the pressure drop have one ... -
Experimental exergy analysis of R513A to replace R134a in a small capacity refrigeration system
Mota-Babiloni, Adrián; Belman, Juan; Makhnatch, Pavel; Navarro-Esbrí, Joaquín; Barroso-Maldonado, Juan Manuel Elsevier (2018-11-01)The replacement of HFCs using lower GWP refrigerants in the coming years is a priority to reduce the predicted climate change. The exergy analysis of vapor compression systems can help to identify the feasibility of ...