Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Jafar Sasanipour"'
Autor:
Alireza Baghban, Jafar Sasanipour, Fathollah Pourfayaz, Mohammad Hossein Ahmadi, Alibakhsh Kasaeian, Ali J. Chamkha, Hakan F. Oztop, Kwok-wing Chau
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 13, Iss 1, Pp 453-469 (2019)
Nanofluids have found extended applications in different industrial and engineering systems nowadays. This study aims to investigate the accurate prediction of SiO2 nanofluid effect on the heat transfer performance, specifically convective heat trans
Externí odkaz:
https://doaj.org/article/b245b2c465434ede8d0f6e58a42a8b38
Publikováno v:
Chinese Journal of Chemical Engineering. 27:620-627
Development of a predictive tool for H2S solubility estimation can be very helpful in gas sweetening industry. Experimental databases on H2S solubility were rarely available, so as reliable predictive models. Thus, in this study the H2S solubility da
Publikováno v:
Chemical Engineering Research and Design. 142:44-52
In this communication, the solubility of sulfur dioxide in various ionic liquids is estimated using the least square support vector machine (LSSVM) combined with group contribution method. A dataset comprised of 232 data points on SO2 solubility in d
Autor:
Hakan F. Oztop, Mohammad Hossein Ahmadi, Kwok Wing Chau, Alibakhsh Kasaeian, Alireza Baghban, Ali J. Chamkha, Jafar Sasanipour, Fathollah Pourfayaz
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 13, Iss 1, Pp 453-469 (2019)
Nanofluids have found extended applications in different industrial and engineering systems nowadays. This study aims to investigate the accurate prediction of SiO2 nanofluid effect on the heat transfer performance, specifically convective heat trans
Autor:
Alireza Baghban, Jafar Sasanipour, Sajjad Habibzadeh, Amir H. Mohammadi, Mohammad Navid Kardani
Publikováno v:
Journal of Cleaner Production. 203:601-618
In this work, modeling of CO2 absorption in polyionic liquids has been studied utilizing radial basis function artificial neural network (RBFANN) and least square support vector machine (LSSVM) combined with group contribution (GC) method, RBFANN-GC
Publikováno v:
Petroleum Science and Technology. 36:1582-1588
Publikováno v:
Chemistry and Physics of Lipids. 214:46-57
Micellization phenomenon occurs in natural and technical processes, necessitating the need to develop predictive models capable of predicting self-assembly behavior of surfactants. A least squares support vector machine (LSSVM) based quantitative str
Publikováno v:
Petroleum Science and Technology. 35:2066-2073
Sulfur containing compounds are one of the most concerning pollutants in fossil fuels. The increasing rate of fuel consumption around the globe reveals the necessity of further purification of the ...
Publikováno v:
Petroleum Science and Technology. 35:1974-1981
Wax deposition in petroleum industry is one of the major problems requiring accurate predictive procedures to reduce the deficiencies and effective designing of the process. An adaptive neuro fuzzy...
Publikováno v:
Chemical Engineering Research and Design. 126:67-75
Owning to interesting properties of biosurfactants such as biodegradability and lower toxicity, they have broad application in the food industry, healthy products, and bioremediation as well as for oil recovery. The present study was aimed to develop