Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Mete Özşen"'
Publikováno v:
International Journal of Refrigeration. 67:227-238
This paper reports the use of computational fluid dynamics (CFD) and artificial neural networks (ANN) for optimising and improving the performance of a static type domestic refrigerator. The effects of the hydrodynamic and thermal fields on the air f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dde2d2eeb9044c8f0338692bf8bafe5a
https://doi.org/10.1016/j.ijrefrig.2016.02.018
https://doi.org/10.1016/j.ijrefrig.2016.02.018
Publikováno v:
International Journal of Refrigeration. 35:1678-1689
This study presents an application of artificial neural networks (ANNs) to predict the design parameter's values of the static type domestic refrigerator. The interior air volume of refrigerator was modeled using computational fluid dynamics and heat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0963484a17b1609506639f0f007b6321
https://doi.org/10.1016/j.ijrefrig.2012.02.011
https://doi.org/10.1016/j.ijrefrig.2012.02.011