Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Armin Mohebbi"'
Publikováno v:
Microsystem Technologies. 25:3643-3653
Microfluidic impedance-based devices offer a simple method for counting and sizing particles and cells in fields of biomedical research and clinical diagnosis. In this work, we present design, fabrication and operational characteristics of a novel hi
Publikováno v:
Chemical Engineering Research and Design. 126:199-208
This work highlights the application of two types of artificial neural networks namely PSO-RBF and CSA-LSSVM for prediction of equilibrium adsorption of sulfur compound in liquid phase of hydrocarbon solution of isotherm batch systems. The precision
Publikováno v:
Journal of Molecular Liquids. 231:419-429
This study aims to develop four methods, namely GA-RBF, MLP-NN, CSA-LSSVM and CHPSO-ANFIS methods, to accurately estimate the Watson characterization factor for various hydrocarbons. The obtained results were analyzed graphically and statistically to
Autor:
Vahid Mohebbi, Armin Mohebbi
Publikováno v:
Fluid Phase Equilibria. 436:30-37
In the present study, adsorption of the sulfur compound onto two types of molecular sieve (HYD10B and LQ-MS-13X) in a batch system was investigated. It has been illustrated that HYD10B type has more adsorption capacity than LQ-MS-13X type to separate
Autor:
Armin Mohebbi, Mohammad M. Ghiasi, Afshin Tatar, Adel Najafi-Marghmaleki, Amir H. Mohammadi, Fathollah Pourfayaz, Mohammad Reza Dadkhah, Ali Barati-Harooni
Publikováno v:
The Journal of Supercritical Fluids. 120:181-190
In this communication, an Adaptive Neuro-Fuzzy Inference System (ANFIS) was developed for estimation of solubility of several solid species in supercritical CO2. A total of 795 data points were collected from the literature and used in the process of
Autor:
Armin Mohebbi, Adel Najafi-Marghmaleki, Afshin Tatar, Ali Barati-Harooni, Mahdi Kalantari-Meybodi, Amir H. Mohammadi
Publikováno v:
Journal of Molecular Liquids. 224:976-990
It is important to develop accurate and efficient modeling approaches for estimation of interfacial tension between water and hydrocarbon gases because of notable importance of this parameter in various areas of chemical and petroleum engineering. Th
Autor:
Mohammad M. Ghiasi, Adel Najafi-Marghmaleki, Afshin Tatar, Amir H. Mohammadi, Ahmad Hajinezhad, Ali Barati-Harooni, Armin Mohebbi
Publikováno v:
International Journal of Greenhouse Gas Control. 53:85-97
Removal of sour gases such as carbon dioxide (CO 2 ) and hydrogen sulfide (H 2 S) is of great importance in various processes such as streams of sour natural gas, production of ammonia by treating synthesis gas, and hydrogen purification processes. H
Autor:
Armin Mohebbi, Payam Nadali, Afshin Tatar, Alireza Bahadori, Adel Najafi-Marghmaleki, Seyed-Ahmad Hoseinpour, Ali Barati-Harooni
Publikováno v:
Journal of Chemometrics. 32:e2956
This study highlights the application of radial basis function (RBF) neural networks, adaptive neuro-fuzzy inference systems (ANFIS), and gene expression programming (GEP) in the estimation of solubility of CO2 in aqueous solutions of tetra-n-butylam