Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hasan Avcı"'
Publikováno v:
Duru, G, Kumlutas, D, Avci, H, Yucekaya, U A & Ozer, O 2021, ' Numerical and experimental investigation of liquid blowing agent and pentane blowing agent effects on the insulation of a household refrigerator ', Science and Technology for the Built Environment, vol. 27, no. 6, pp. 832-842 . https://doi.org/10.1080/23744731.2021.1881412
Refrigerators are the most energy demanding household devices since they are working 7/24. Improving insulation material is crucial for reducing this demand. One of the promising ways to improve insulation materials is to develop better-blowing agent
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
Autor:
Hasan Avcı
This report is a response to the comments on the paper prepared by D. Kumlutas et al. [Int. J. Refrigeration 35 (2012) 1678-1689]. Here, the aim is to provide answers and remarks to the highlighted questions and comments. Crown Copyright (C) 2015 Pub
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ee842438673048de787414717baf454
https://avesis.deu.edu.tr/publication/details/54ef1b06-484c-49e8-8e5a-212c33c0e3df/oai
https://avesis.deu.edu.tr/publication/details/54ef1b06-484c-49e8-8e5a-212c33c0e3df/oai
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