Mass flow prediction in a refrigeration machine using artificial neural networks-Reference-Cited by-同舟云学术

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Mass flow prediction in a refrigeration machine using artificial neural networks

Published:2022-09 Issue: Volume:214 Page:118893
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Fonseca Vinícius David,Duarte Willian Moreira,de Oliveira Raphael Nunes,Machado Luiz,Maia Antônio Augusto Torres

Funder

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference56 articles.

1. Scales, Norms, and Equivalent Scores;Angoff,1984

2. Coriolis mass flowmeters: Overview of the current state of artand latest research;Anklin;Flow Meas. Instrum.,2006

3. Prediction of heat transfer coefficient during condensation of R134a in inclined tubes using artificial neural networks;Azizi;Appl. Therm. Eng.,2016

4. Failure analysis of reciprocating compressor crankshafts;Becerra;Eng. Fail. Anal.,2011

5. PDSim: A general quasi-steady modeling approach for positive displacement compressors and expanders;Bell;Int. J. Refrig.,2020

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