Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Niccolo Giannetti"'
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6777 (2024)
The prediction of the heat transfer coefficient commonly relies on the development of new empirical prediction equations when operating conditions and refrigerants change from the existing equations. Creating new prediction equations is expensive and
Externí odkaz:
https://doaj.org/article/fb05c5b86ea94684a07f584b20c39215
Publikováno v:
Case Studies in Thermal Engineering, Vol 26, Iss , Pp 101082- (2021)
This paper discusses the extremisation of the entropy production in fluidic networks to gain insight into using non-equilibrium thermodynamics for mathematically formulating thermal engineering transfer phenomena. In the study, a variational formulat
Externí odkaz:
https://doaj.org/article/e54a684036714cb9ba367c421da73ad4
Publikováno v:
Journal of Thermal Science and Technology, Vol 15, Iss 3 (2020)
The following errors have been corrected. p.9, caption of Fig.5 p. 11, legend of Fig. 8 p. 11, legends of Fig. 9 (a) and (b)
Externí odkaz:
https://doaj.org/article/ba0c26d610c54596aa7f34fb6aea169c
Publikováno v:
Journal of Thermal Science and Technology, Vol 15, Iss 3, Pp JTST0025-JTST0025 (2020)
The complexity of the actual operation of thermal engineering systems comprises multiphase interfacial phenomena evolving out of equilibrium. Therefore, their generalised formulation can contribute towards better understanding and control of these ph
Externí odkaz:
https://doaj.org/article/b1705c99327942c3a8de671166203ddf
Circuitry Optimization Using Genetic Programming for the Advancement of Next Generation Refrigerants
Autor:
Niccolo Giannetti, John Carlo S. Garcia, Cheol-Hwan Kim, Yuichi Sei, Koji Enoki, Kiyoshi Saito
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f01cc0737910caf2bc5c1cac59a57792
https://doi.org/10.2139/ssrn.4461679
https://doi.org/10.2139/ssrn.4461679
Autor:
Niccolo Giannetti, Seiichi Yamaguchi, John Carlo S. Garcia, Daryl Anne B. Varela, Menandro S. Berana, Richard Jayson Varela, Kiyoshi Saito
Publikováno v:
Heat Transfer Engineering. 43:1675-1693
A numerical simulator that can handle a finned-tube heat exchanger with a complex refrigerant circuitry is presented. The model is based on a tube-by-tube approach in which each tube is considered ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e209d28785a3ee20bdb8e1580e5d057f
https://doi.org/10.1080/01457632.2021.2001741
https://doi.org/10.1080/01457632.2021.2001741
Autor:
Niccolo Giannetti, Sholahudin, Mark Anthony Redo, Jongsoo Jeong, Hyun-Young Kim, Kiyoshi Saito, Seiichi Yamaguchi
Publikováno v:
International Journal of Refrigeration. 111:53-62
Due to the intrinsic complexity of two-phase flow distribution and the limited mathematical flexibility of conventional formulations of the phenomenon, previous attempts generally fall short in the accuracy and applicability of their prediction. To a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d81b9860e89beaf8b1aef3af8cfea322
https://doi.org/10.1016/j.ijrefrig.2019.11.028
https://doi.org/10.1016/j.ijrefrig.2019.11.028
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebf1b1965a9c749e4dac6108ad63fe33
https://doi.org/10.2139/ssrn.4180071
https://doi.org/10.2139/ssrn.4180071
Publikováno v:
Applied Thermal Engineering. 218:119424
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::533958cf5cbe56365a983ad013389382
https://doi.org/10.1016/j.applthermaleng.2022.119424
https://doi.org/10.1016/j.applthermaleng.2022.119424
Autor:
Niccolo Giannetti, Shun Matsui, Ryohei Mori, Jongsoo Jeong, Hifni Mukhtar Ariyadi, Yoichi Miyaoka, Eisuke Togashi, Kiyoshi Saito
Publikováno v:
Energy and Buildings. 273:112411
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3231a136459a780022fe51f735d44ea9
https://doi.org/10.1016/j.enbuild.2022.112411
https://doi.org/10.1016/j.enbuild.2022.112411