Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Hossein Rajabi Kuyakhi"'
Autor:
Ramin Tahmasebi-Boldaji, Sara Ghazanfari, Hossein Rajabi Kuyakhi, Nasir Tahmasebi Boldaji, Mohammad Torki
Publikováno v:
Results in Engineering, Vol 19, Iss , Pp 101284- (2023)
Nanoparticles suspended in a fluid can improve heat transfer and lubrication performance. In this study, a new method was selected to investigate water/α-Al2O3 nanofluid stability, so a combined approach (Ultrasonic Cycle/Magnetic Stirrer (UC/MS)) w
Externí odkaz:
https://doaj.org/article/2f4f8e26a5c54d4d940e2d8584c2e1ee
Publikováno v:
Heliyon, Vol 6, Iss 9, Pp e04936- (2020)
The solvent diffusivity is considered as a key factor in the design of solvent assisted processes in the bitumen field. In this study, a novel Adaptive neuro-fuzzy interference system (ANFIS) is employed to evaluate the diffusivity of the light hydro
Externí odkaz:
https://doaj.org/article/20487e05d6d14ea6bcc3f1632862fe21
Publikováno v:
International Journal of Petroleum Technology. 9:80-90
Viscosity is an essential property in chemical engineering for different applications. If predicted accurately, the viscosity has a significant effect on chemical applications. In this paper, the capability of the three intelligence models, artificia
Autor:
Hossein Rajabi Kuyakhi, Sara Ghazanfari, Mohammad Torki, Ramin Tahmasebi Boldaji, Saman Rashidi, Mohadese Rajabzadeh, Nasir Tahmasebi Boldaji
Publikováno v:
Petroleum Science and Technology. 40:150-165
Publikováno v:
Journal of Chemical & Engineering Data. 66:2401-2411
Publikováno v:
Petroleum Science and Technology. 39:115-131
In this paper, two types of machine learning, namely neuro-fuzzy inference system (ANFIS) and multilayer perceptron (MLP), have been studied to model light hydrocarbons’ solubility solvent in bitum...
Publikováno v:
Indian Chemical Engineer. 64:80-91
In this investigation, an aqueous two-phase system method (ATPS) utilised to the assessment of the formic acid extraction. ATPS includes the polymer PEG (4000 and 8000) and different phosphate salt...
Publikováno v:
Petroleum Science and Technology. 38:737-743
In this study, using the response surface methodology (RSM) method, 1-butanol and diesel fuel blends heat capacity is predicted. The study of heat capacity was performed with three factors of molar...
Publikováno v:
Environmental Progress & Sustainable Energy. 41
Publikováno v:
Petroleum Science and Technology. 37:2364-2373
In this paper an intelligent model is proposed to predict the amount of organic pollutants in Caspian Sea sediment based on a feed forward artificial neural network (ANN) optimized by particle swar...