Modeling of Asphaltene Deposition on Coated Metal Surfaces
Mohammad
Haji-Savameri
Department of Petroleum Engineering, Shahid Bahonar University of Kerman
author
Abdolhossein
Hemmati-Sarapardeh
Department of Petroleum Engineering, Shahid Bahonar University of Kerman
author
Saeid
Norouzi-Apourvari
Department of Petroleum Engineering, Shahid Bahonar University of Kerman
author
Ahmad
Irannejhad
Department of Materials Science and Engineering, Shahid Bahonar University of Kerman
author
Amir
Ghasemzadeh
NISOC, Petroleum Engineering Department, Ahvaz
author
Mahin
Schaffie
Department of Petroleum Engineering, Shahid Bahonar University of Kerman
author
text
article
2020
per
Asphaltene deposition is one of the most common problems in the petroleum industry that could be very costly and cause many operational problems. In order to select the optimal operating conditions, deposition kinetics models can be very effective in treatment of asphaltene deposition at the field scale. In this study, asphaltene was first extracted from crude oil by standard methods and then its deposition kinetics on metal surfaces coated by Teflon and silica films was evaluated in both static and dynamic flow states. Investigations showed that the flow state is effective on the asphaltene deposition kinetics so that in the static state the nth-order kinetics model and in the dynamic state the double exponential model are in the best agreement with the experimental data. According to the results, at static state and concentration of 2000 ppm, the RF and SF values for Teflon coating are 78.8023 and 21.1976, respectively, indicating faster fast deposition process for this coating. Whereas for silica film, the RF value is lower than SF, indicating a faster slow deposition process for this coating.
Journal of Separation Science and Engineering
Shahid Bahonar University of Kerman
Iranian Association of Chemical Engineering
2008-3963
12
v.
1
no.
2020
1
14
https://jsse.uk.ac.ir/article_2575_fc99d21813f5320953415be46c1ae55e.pdf
dx.doi.org/10.22103/jsse.2020.2575
Modeling and Simulation of Proposed Multifunctional Reactors to Increase the Aromatics Production in the Catalytic Naphtha reforming
Mehdi
Shakeri
Department of Chemical Engineering, Amir Kabir University of Technology (Tehran Polytechnic), Tehran, Iran
author
Davood
Iranshahi
School of Chemical Engineering, Amirkabir University of Technology, Tehran, Iran.
author
text
article
2020
per
Abstract In this research, improvement of catalytic naphtha reforming as one of the important processes in refineries and petrochemicals industries has been considered. The main focus is on replacing the conventional packed-bed reactors with new multifunctional reactors. These proposed reactors include catalytic naphtha reforming and methaxylene hydrodealkylation processes separated by a solid wall and a sweep gas section separated from naphtha reforming by a Pd-Ag membrane layer. The endothermic naphtha reforming, on the one hand, exchanges heat with the methaxylene hydrodealkylation, while on the other hand, it performs hydrogen exchange by sweep gas section. According to the simulation results, the aromatic production in the proposed system was increased by about 11% compared to conventional reactors. Finally, the effects of operating conditions such as feed temperature of hydrodealkylation process, seep gas inlet pressure on the performance of the system have been studied. Keywords: Catalytic Naphtha Reforming Process, Multifunctional Reactor, Palladium Membrane, Methaxylene Hydrodealkylation Process, Aromatic Production
Journal of Separation Science and Engineering
Shahid Bahonar University of Kerman
Iranian Association of Chemical Engineering
2008-3963
12
v.
1
no.
2020
15
28
https://jsse.uk.ac.ir/article_2600_b254acecd87d31f0ed6e9dd9e878d3f4.pdf
dx.doi.org/10.22103/jsse.2020.2600
Systematic investigation of effective parameters on formation and performance of graphene oxide separation thin film membranes
Solmaz
Valizadeh
Amirkabir University
author
Leila
Naji
AmirKabir University
author
Mohammad
Karimi
Amirkabir University
author
text
article
2020
per
Recently-developed graphene oxide (GO) thin film membranes have attracted a great deal of attention in water-treatment processes because of their high water flux and low preparation costs. In the present work, the parameters influencing the physicochemical and the separation performance of the GO thin film membranes has been introduced and the prepared membranes were applied to separate Rhodamine-B (RhB) from aqueous solutions. The effects of various parameters including GO oxidation degree, type of polymeric support, the method of membrane preparation, surface modification of the support and the concentration of GO solution on the properties of the resulting membranes were investigated. The best GO membrane, in terms of physical properties and the separation performance, was achieved by pressure-assisted filtration of GO containing higher level of oxygenated groups on the polyethersulfone (PES) support. The physical properties of this membrane was further improved through surface modification of PES by dopamine prior to the deposition of GO thin film membrane. The best GO concentration was found to be about 50 ppm. The membrane prepared in the optimized conditions removed about 94 % of RhB from water, while its pure water flux was about 623 L.M-2.h-1.
Journal of Separation Science and Engineering
Shahid Bahonar University of Kerman
Iranian Association of Chemical Engineering
2008-3963
12
v.
1
no.
2020
29
40
https://jsse.uk.ac.ir/article_2601_591832d2f2fd6b6349f600aa46149a6d.pdf
dx.doi.org/10.22103/jsse.2020.2601
CFD Study of Magnetic Field Effect on the Performance of Copper Electrodeposition Cells
Mahjabin
Najminoori
Department of Chemical Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
author
علی
محبی
دانشگاه باهنر کرمان
author
Roohollah
Sadeghi
Department of Chemical Engineering, Faculty of Engineering, ACECR Institute Higher Education (Isfahan Branch), Isfahan, Iran
author
Kambiz
Afrooz
Department of Electrical Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
author
Babak
Ghadamiarabi
Sarcheshmeh Copper Complex, Iran
author
text
article
2020
per
In copper electrodeposition methods, by applying an electric current between two electrodes immersed in an electrolyte containing CuSO4- H2SO4-H2O, copper is deposited on the cathode surface. Presence of magnetic field has a considerable effect on the performance of electrodeposition cells. The most important roles of the magnetic field on these processes are Lorentz force, magnetohydrodynamic (MHD) convection and its interaction with the natural convection induced by the concentration gradient. In this study, an unsteady, two-dimensional copper electrolysis (one phase) and electrowinning (two-phase liquid-gas) cells were simulated in the presence of magnetic field by using Computational Fluid Dynamics (CFD). The equations of Nernst-Planck, momentum and electric potential were solved by finite volume method. The Eulerian-Lagrangian method was used in simulation of two-phase copper electrowinning cell. The simulation results of electrolysis process showed a good agreement in comparison with experimental data of Muhlenhoff et al. After the validation of the model, copper concentration change and velocity profiles of two processes were investigated and compared with each other. The simulation results showed that the MHD interaction with the natural convection and also intrusion layer pile up leads to the velocity decay. As a result, the velocity reduction in the electrowinning process occurs later than in the electrolysis process but its reduction in the second stage of electrowinning process is about 93%, which is much more than 33% in the electrolysis process.
Journal of Separation Science and Engineering
Shahid Bahonar University of Kerman
Iranian Association of Chemical Engineering
2008-3963
12
v.
1
no.
2020
41
66
https://jsse.uk.ac.ir/article_2627_371a3598ea300970d8ddfe7d9d1e29bb.pdf
dx.doi.org/10.22103/jsse.2020.2627
Preparation and characterization of modified poly (ethersulfone)/hematite iron oxide nano particles (α-Fe2O3) ultrafiltration membranes: food industrial wastewater treatment
Majid
Estarabadi
Department of Chemical Engineering, Quchan Branch, Islamic Azad University, Quchan, Iran
author
Maryam
Omidvar
Department of Chemical Engineering, Quchan Branch, Islamic Azad University, Quchan, Iran
author
Esmaeil
Koohestanian
Department of Chemical Engineering, University of Sistan and Baluchestan, Zahedan, Iran
author
Zahra
Hejri
Department of Chemical Engineering, Quchan Branch, Islamic Azad University, Quchan, Iran
author
text
article
2020
per
In this research, new polyethersulfone ultrafiltration membranes was prepared via phase inversion technique. polyethersulfone was used as a polymer, hematite iron oxide nanoparticles (α-Fe2O3) as an additive, polyvinylpyrrolidone as a pore former, 1-methyl-2-pyrrolidone as a solvent, in preparation of the casting solutions and the distillated water as a gelation media. The effect of nanoparticles concentration (0, 0.25, 0.75 and 1 wt. %) was studied on the membrane characteristics, including membrane morphology, contact angle, pure water flux and the food industrial wastewater treatment using the scanning electron microscopy, water contact angle apparatus and experimental set-up. According to the results, increasing the concentration of the iron oxide nanoparticles from 0 to 0.75 wt. % led to the improved membranes with a higher thickness, a more porous structure in the sublayer, and a higher hydrophilicity and pure water flux. As the results showed, in the membrane containing 0.75 wt% hematite iron oxide nanoparticles, the contact angel decreased from 65.79 ± 2.36 to 35.19 ± 1.38 and pure water flux increased from 33.09 l/m2h to 53.98 l/m2h at pressure of 5 bar. The membrane performed well in rejecting the wastewater contaminants.
Journal of Separation Science and Engineering
Shahid Bahonar University of Kerman
Iranian Association of Chemical Engineering
2008-3963
12
v.
1
no.
2020
67
78
https://jsse.uk.ac.ir/article_2631_ee64f9399500dc79b7565203a9a6b8a4.pdf
dx.doi.org/10.22103/jsse.2020.2631
Modeling and Design of Rotating Packed Beds by the employment of Artificial Intelligence Methods
Amir Ehsan
Feili Monfared
Department of Chemical Engineering, Graduate University of Advanced Technology, Kerman, Iran
author
Amir
Sarrafi
Department of Chemical Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
author
text
article
2020
per
In recent years, the capabilities of rotating packed beds in dust removal from gases has attracted the attention in different industries. On the other hand, due to intricate complexities of such beds, employment of computational fluid dynamic techniques for design and modeling purposes would be difficult. Therefore, in this research the performance of artificial intelligence techniques in design of theses equipment was investigated. Accordingly, in the first step and by using 561 experimental data points, an artificial neural network system was developed. In the constructed model, dust removal efficiency was considered as the output and the working and design conditions of the bed were fed as the inputs. Performance of the developed system was analyzed both quantitatively and qualitatively and achieving value of 0.99 for correlation coefficient demonstrates its suitable accuracy in efficiency determination. Finally, employing the developed neural network system combined with genetic algorithms, a novel method for optimum design of beds with arbitrary characteristics was proposed. Performed analyses showed that the constructed system while being simple, offers flexibility and precision in design of rotating packed beds. Also, its low coast of development makes it an attractive idea to be employed in industry scale.
Journal of Separation Science and Engineering
Shahid Bahonar University of Kerman
Iranian Association of Chemical Engineering
2008-3963
12
v.
1
no.
2020
79
96
https://jsse.uk.ac.ir/article_2643_b36f8999e5f23d39780eaf0750628bf5.pdf
dx.doi.org/10.22103/jsse.2020.2643
Experimental and Thermo-kinetic Study of Ethane Absorption in N-methyl-2-pyrrolidone Solvent
Mohammad
Yousefi
Department of Chemical Engineering, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran
author
shima
Azizi
Department of Chemical Engineering, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran
author
S.M.
Peyghambarzadeh
Department of Chemical Engineering, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran
author
Zoha
Azizi
Department of Chemical Engineering, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran
author
text
article
2020
per
Determining the solubility of gases in solvents and considering non-ideality at different operating conditions are essential to design a cost-effective and energy-efficient absorption process. In this study, using a pressure decaying set-up, the solubility of pure ethane in N-methyl-2-pyrrolidone (NMP) was measured at different temperatures (278.15, 298.15, and 328.15 K) and pressures up to 14 bar, and kinetic and equilibrium results were obtained. Accordingly, the values of Henry’s law constants and also the heat of absorption were calculated at various temperatures. Then, thermodynamic modeling was accomplished by applying the Peng Robinson equation of state (PR-EOS) and the Wilson activity coefficient model, and the binary interaction parameters for this system were estimated. By the thermodynamic modeling, positive deviation from ideal behavior is apparently observed for this system. Due to low absolute average deviation of less than 12.3%, the correlated thermodynamic model is able to predict the ethane solubility in NMP with a reliable accuracy.
Journal of Separation Science and Engineering
Shahid Bahonar University of Kerman
Iranian Association of Chemical Engineering
2008-3963
12
v.
1
no.
2020
97
113
https://jsse.uk.ac.ir/article_2644_050be0d61704dd77a096d718e08687f9.pdf
dx.doi.org/10.22103/jsse.2020.2644
Evaluation of Pyke model in Denver laboratory flotation cell for predicting pyrite flotation rate constants at different impeller speeds and particle sizes
Hadi
Naghavi
Mining and Metallurgical Engineering Department, Yazd University, Yazd, Iran
author
علی
دهقانی
هیات غلمی دانشگاه یزد
author
Mohsen
Karimi
Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden
author
text
article
2020
per
The Pyke model is one of the fundamental models developed to predict the flotation rate constant. The model incorporates the effect of turbulence and hydrodynamic properties in the response of flotation sub-processes. The model has been evaluated in Rushton turbine flotation cells, which are induced-air flotation cells. The Denver self-aerated flotation cell is the most commonly used laboratory cell. The cell has fundamental differences in its aeration mechanism with a Rushton turbine tank aeration system. In this research, an attempt was made to investigate the performance of the Pyke model in predicting the flotation rate constant of pyrite from iron ore concentrate at different particle size ranges and impeller speeds. The experimental results showed that the flotation rate constants of intermediate and coarse particles were in the range of 1.1-2.1 and 0.8-1.1 s-1, respectively. In contrast, the fine particles had the lowest flotation rate constant in the range of 0.4-1.4 s-1. Besides, it was found that the flotation rate constants calculated using Pyke model are very similar to that of experiments for the coarse and intermediate particle sizes at different impeller speeds. However, for fine particles, the relative error between the measured and predicted values was greater than 4%. Some sources of error and limitations of the Pyke model are also discussed.
Journal of Separation Science and Engineering
Shahid Bahonar University of Kerman
Iranian Association of Chemical Engineering
2008-3963
12
v.
1
no.
2020
114
125
https://jsse.uk.ac.ir/article_2656_d764947f262316d768e38bed4b23240e.pdf
dx.doi.org/10.22103/jsse.2020.2656