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Saviano L, Brouziotis AA, Suarez EGP, Siciliano A, Spampinato M, Guida M, Trifuoggi M, Del Bianco D, Carotenuto M, Spica VR, Lofrano G, Libralato G. Catalytic Activity of Rare Earth Elements (REEs) in Advanced Oxidation Processes of Wastewater Pollutants: A Review. Molecules 2023; 28:6185. [PMID: 37687014 PMCID: PMC10488708 DOI: 10.3390/molecules28176185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 08/12/2023] [Accepted: 08/18/2023] [Indexed: 09/10/2023] Open
Abstract
In recent years, sewage treatment plants did not effectively remove emerging water pollutants, leaving potential threats to human health and the environment. Advanced oxidation processes (AOPs) have emerged as a promising technology for the treatment of contaminated wastewater, and the addition of catalysts such as heavy metals has been shown to enhance their effectiveness. This review focuses on the use of rare earth elements (REEs) as catalysts in the AOP process for the degradation of organic pollutants. Cerium and La are the most studied REEs, and their mechanism of action is based on the oxygen vacancies and REE ion concentration in the catalysts. Metal oxide surfaces improve the decomposition of hydrogen peroxide to form hydroxide species, which degrade the organics. The review discusses the targets of AOPs, including pharmaceuticals, dyes, and other molecules such as alkaloids, herbicides, and phenols. The current state-of-the-art advances of REEs-based AOPs, including Fenton-like oxidation and photocatalytic oxidation, are also discussed, with an emphasis on their catalytic performance and mechanism. Additionally, factors affecting water chemistry, such as pH, temperature, dissolved oxygen, inorganic species, and natural organic matter, are analyzed. REEs have great potential for enhancing the removal of dangerous organics from aqueous solutions, and further research is needed to explore the photoFenton-like activity of REEs and their ideal implementation for wastewater treatment.
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Affiliation(s)
- Lorenzo Saviano
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy; (L.S.); (A.A.B.); (E.G.P.S.); (M.S.); (M.G.); (D.D.B.); (G.L.)
| | - Antonios Apostolos Brouziotis
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy; (L.S.); (A.A.B.); (E.G.P.S.); (M.S.); (M.G.); (D.D.B.); (G.L.)
- Department of Chemical Sciences, University of Naples Federico II, 80126 Naples, Italy;
| | - Edith Guadalupe Padilla Suarez
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy; (L.S.); (A.A.B.); (E.G.P.S.); (M.S.); (M.G.); (D.D.B.); (G.L.)
| | - Antonietta Siciliano
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy; (L.S.); (A.A.B.); (E.G.P.S.); (M.S.); (M.G.); (D.D.B.); (G.L.)
| | - Marisa Spampinato
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy; (L.S.); (A.A.B.); (E.G.P.S.); (M.S.); (M.G.); (D.D.B.); (G.L.)
- NBFC, National Biodiversity Future Center, 90133 Palermo, Italy
| | - Marco Guida
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy; (L.S.); (A.A.B.); (E.G.P.S.); (M.S.); (M.G.); (D.D.B.); (G.L.)
- NBFC, National Biodiversity Future Center, 90133 Palermo, Italy
| | - Marco Trifuoggi
- Department of Chemical Sciences, University of Naples Federico II, 80126 Naples, Italy;
- CeSMA Advanced Metrological and Technological Service Center, University of Naples Federico II, 80126 Naples, Italy
| | - Donatella Del Bianco
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy; (L.S.); (A.A.B.); (E.G.P.S.); (M.S.); (M.G.); (D.D.B.); (G.L.)
| | - Maurizio Carotenuto
- Department of Chemistry and Biology “Adolfo Zambelli”, University of Salerno, 84084 Fisciano, Italy;
| | - Vincenzo Romano Spica
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy; (V.R.S.); (G.L.)
| | - Giusy Lofrano
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy; (V.R.S.); (G.L.)
| | - Giovanni Libralato
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy; (L.S.); (A.A.B.); (E.G.P.S.); (M.S.); (M.G.); (D.D.B.); (G.L.)
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Jin H, Andalib V, Yasin G, Bokov DO, Kamal M, Alashwal M, Ghazali S, Algarni M, Mamdouh A. Computational simulation using machine learning models in prediction of CO2 absorption in environmental applications. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.119159] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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3
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Numerical modeling of wastewater treatment using HOLLOW fiber membrane contactors based on the stiff spring method. SOUTH AFRICAN JOURNAL OF CHEMICAL ENGINEERING 2022. [DOI: 10.1016/j.sajce.2022.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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4
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Optimization and design of machine learning computational technique for prediction of physical separation process. ARAB J CHEM 2022. [DOI: 10.1016/j.arabjc.2021.103680] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
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5
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Parsaei M, Roudbari E, Piri F, El-Shafay AS, Su CH, Nguyen HC, Alashwal M, Ghazali S, Algarni M. Neural-based modeling adsorption capacity of metal organic framework materials with application in wastewater treatment. Sci Rep 2022; 12:4125. [PMID: 35260785 PMCID: PMC8904475 DOI: 10.1038/s41598-022-08171-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 03/03/2022] [Indexed: 12/17/2022] Open
Abstract
We developed a computational-based model for simulating adsorption capacity of a novel layered double hydroxide (LDH) and metal organic framework (MOF) nanocomposite in separation of ions including Pb(II) and Cd(II) from aqueous solutions. The simulated adsorbent was a composite of UiO-66-(Zr)-(COOH)2 MOF grown onto the surface of functionalized Ni50-Co50-LDH sheets. This novel adsorbent showed high surface area for adsorption capacity, and was chosen to develop the model for study of ions removal using this adsorbent. A number of measured data was collected and used in the simulations via the artificial intelligence technique. Artificial neural network (ANN) technique was used for simulation of the data in which ion type and initial concentration of the ions in the feed was selected as the input variables to the neural network. The neural network was trained using the input data for simulation of the adsorption capacity. Two hidden layers with activation functions in form of linear and non-linear were designed for the construction of artificial neural network. The model's training and validation revealed high accuracy with statistical parameters of R2 equal to 0.99 for the fitting data. The trained ANN modeling showed that increasing the initial content of Pb(II) and Cd(II) ions led to a significant increment in the adsorption capacity (Qe) and Cd(II) had higher adsorption due to its strong interaction with the adsorbent surface. The neural model indicated superior predictive capability in simulation of the obtained data for removal of Pb(II) and Cd(II) from an aqueous solution.
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Affiliation(s)
- Mozhgan Parsaei
- School of Chemistry, College of Science, University of Tehran, Tehran, Iran.
| | - Elham Roudbari
- Department of Chemistry, Faculty of Science, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Farhad Piri
- Electrical Engineering Department, Amirkabir University of Technology, Hafez Avenue, Tehran, Iran
| | - A S El-Shafay
- Department of Mechanical Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Alkharj, 11942, Saudi Arabia.
| | - Chia-Hung Su
- Department of Chemical Engineering, Ming Chi University of Technology, New Taipei City, Taiwan.
| | - Hoang Chinh Nguyen
- Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, 700000, Vietnam
| | - May Alashwal
- Department of Computer Science, Jeddah International College, Jeddah, Saudi Arabia
| | - Sami Ghazali
- Mechanical and Materials Engineering Department, Faculty of Engineering, University of Jeddah, P.O. Box 80327, Jeddah, 21589, Saudi Arabia
| | - Mohammed Algarni
- Mechanical Engineering Department, Faculty of Engineering, King Abdulaziz University, P.O. Box 344, Rabigh, 21911, Saudi Arabia
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6
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Zhu X, Wang X, Liu K, Zhou S, Alqsair UF, El-Shafay A. Machine learning simulation of Cr (VI) separation from aqueous solutions via a hierarchical nanostructure material. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118565] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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7
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Chen L, Huang H, Thangavelu L, Abdelbasset WK, Bokov DO, Algarni M, Ghazali S, Alashwal M. Optimization and comparison of machine learning methods in estimation of carbon dioxide loading in chemical solvents for environmental applications. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118513] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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8
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Yin G, Jameel Ibrahim Alazzawi F, Mironov S, Reegu F, El-Shafay A, Lutfor Rahman M, Su CH, Lu YZ, Chinh Nguyen H. Machine learning method for simulation of adsorption separation: Comparisons of model’s performance in predicting equilibrium concentrations. ARAB J CHEM 2022. [DOI: 10.1016/j.arabjc.2021.103612] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
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9
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Implementation of AdaBoost and genetic algorithm machine learning models in prediction of adsorption capacity of nanocomposite materials. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118527] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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10
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Ding Y, Jin Y, Yao B, Khan A. Artificial intelligence based simulation of Cd(II) adsorption separation from aqueous media using a nanocomposite structure. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.117772] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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11
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Artificial intelligence simulation of water treatment using a novel bimodal micromesoporous nanocomposite. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.117296] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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12
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Zhu H, Zhu L, Sun Z, Khan A. Machine learning based simulation of an anti-cancer drug (busulfan) solubility in supercritical carbon dioxide: ANFIS model and experimental validation. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.116731] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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13
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14
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Bahrami M, Zabihi S, Gougol M, Hoseinabadi HA, Jamshidian S, Adimi M, Pishnamazi M. Process Design of Ammonia Separation for Nitrification Control in Aeration Basins at an IKORC's Oily Wastewater Treatment Unit. ACS OMEGA 2020; 5:21883-21896. [PMID: 32905451 PMCID: PMC7469653 DOI: 10.1021/acsomega.0c03067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 08/06/2020] [Indexed: 06/11/2023]
Abstract
In the current decades, water shortage is well understood as one of the main limiting factors for oil industry development all over the world. One of the available and reasonable solutions is reusing wastewater. The oily wastewater treatment unit of the IKORC oil refinery provides a portion of the makeup water for cooling towers, applying physical, biological, and chemical treatments. Ammonia shocks are the only crisis that disrupts the nitrification process. This condition eventuates in destroying the microorganisms of aeration basins and leads to a high ammonia containing effluent. In order to protect the aeration process, it is mandatory to apply a suitable system for removing excess ammonia. In this study, at first, ammonia removal history is reviewed. Then quantity and quality of the oily sewer are investigated. Because of high volatility of ammonia contamination and high TDS, a stripping tower with air is selected among diverse solutions. Taking into account the principles of project econometrics, operating parameters such as stripping factor, pressure drop, tower volumetric flow rate, and number of towers are determined. Then, the process is designed and its environmental survey is conducted. Finally, calculating indices proved that this project is economically profitable in addition to its environmental benefits.
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Affiliation(s)
- Majid Bahrami
- Department
of Process Engineering, Research and Development Department, Shazand-Arak Oil Refinery Company, Arak, Iran
| | - Samyar Zabihi
- Department
of Process Engineering, Research and Development Department, Shazand-Arak Oil Refinery Company, Arak, Iran
| | - Mahdi Gougol
- Pars
Oil and Gas Company, Tehran 14147 13111, Iran
| | | | - Sahar Jamshidian
- Environment,
Research and Development Department, Shadram
Company, Iran
| | - Maryam Adimi
- Department
of Chemical Engineering, Farahan Branch, Islamic Azad University, Farahan, Iran
| | - Mahboubeh Pishnamazi
- Institute
of Research and Development, Duy Tan University, Da Nang 550000, Vietnam
- The
Faculty of Pharmacy, Duy Tan University, Da Nang 550000, Vietnam
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15
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Rezakazemi M, Shirazian S. Computational Simulation of Mass Transfer in Molecular Separation Using Microporous Polymeric Membranes. Chem Eng Technol 2018. [DOI: 10.1002/ceat.201800082] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Mashallah Rezakazemi
- Shahrood University of Technology; Faculty of Chemical and Materials Engineering; Shahrood Iran
| | - Saeed Shirazian
- Ton Duc Thang University; Department for Management of Science and Technology Development; Ho Chi Minh City Vietnam
- Ton Duc Thang University; Faculty of Applied Sciences; Ho Chi Minh City Vietnam
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16
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Molecular separation in liquid phase: Development of mechanistic model in membrane separation of organic compounds. J Mol Liq 2018. [DOI: 10.1016/j.molliq.2018.04.101] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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17
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2D ceramic grains images manipulations: A simple geometrical characterization and grain domain recreation algorithm. APPLIED COMPUTING AND INFORMATICS 2018. [DOI: 10.1016/j.aci.2017.06.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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18
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Simulation of Nonporous Polymeric Membranes Using CFD for Bioethanol Purification. MACROMOL THEOR SIMUL 2018. [DOI: 10.1002/mats.201700084] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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19
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Pelalak R, Heidari Z, Soltani H, Shirazian S. Mathematical Model for Numerical Simulation of Organic Compound Recovery Using Membrane Separation. Chem Eng Technol 2017. [DOI: 10.1002/ceat.201700445] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Rasool Pelalak
- Young Researchers and Elite Club; Ahar Branch; Islamic Azad University; Ahar Iran
| | - Zahra Heidari
- Young Researchers and Elite Club; Ahar Branch; Islamic Azad University; Ahar Iran
| | - Hadi Soltani
- Department of Chemical Engineering; Ahar Branch; Islamic Azad University; Ahar Iran
| | - Saeed Shirazian
- Department of Chemical Sciences; Bernal Institute; University of Limerick; Limerick Ireland
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20
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Ghadiri M, Shirazian S. Numerical simulation of reactive extraction of benzoic acid from wastewater via membrane contactors. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2017; 24:11518-11527. [PMID: 28317083 DOI: 10.1007/s11356-017-8817-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 03/13/2017] [Indexed: 06/06/2023]
Abstract
Membrane-based non-dispersive solvent extraction is used in many chemical processes due to its significant benefits such as straightforward scale-up and low energy consumption. A mechanistic model was developed to predict recovery of benzoic acid (BA) from wastewater using membrane contactors. Model equations were derived for benzoic acid transport in the membrane module, and solved using FEM. The model findings were compared with experimental results, and an average deviation of 4% was observed between experimental and simulation results. Simulations showed that change in organic phase flowrate and initial concentration of BA does not have considerable effect on the removal efficiency of benzoic acid. In addition, increasing feed flowrate leads to the enhancement of convective mass transfer flux in the tube side of membrane contactor which decreases removal efficiency of benzoic acid.
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Affiliation(s)
- Mehdi Ghadiri
- Young Researchers and Elite Club, South Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Saeed Shirazian
- Department of Chemical Sciences, Bernal Institute, University of Limerick, Limerick, Ireland.
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21
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Razavi SMR, Shirazian S, Nazemian M. Numerical simulation of CO2 separation from gas mixtures in membrane modules: Effect of chemical absorbent. ARAB J CHEM 2016. [DOI: 10.1016/j.arabjc.2015.06.006] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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22
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Tahvildari K, Razavi SMR, Tavakoli H, Mashayekhi A, Golmohammadzadeh R. Modeling and simulation of membrane separation process using computational fluid dynamics. ARAB J CHEM 2016. [DOI: 10.1016/j.arabjc.2015.02.022] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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23
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24
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Roostaiy Ghalehnooiy M, Marjani A, Ghadiri M. Synthesis and characterization of polyurethane/poly(vinylpyridine) composite membranes for desulfurization of gasoline. RSC Adv 2015. [DOI: 10.1039/c5ra13951a] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Polyurethane/poly(vinylpyridine) (PU/PVP) composite membranes for desulfurizing gasoline were prepared.
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Affiliation(s)
| | - Azam Marjani
- Department of Chemistry
- Arak Branch
- Islamic Azad University
- Arak
- Iran
| | - Mehdi Ghadiri
- Young Researchers and Elite Club
- South Tehran Branch
- Islamic Azad University
- Tehran
- Iran
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25
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Ghadiri M, Parvini M, Darehnaei MG. Simulation of zinc extraction from aqueous solutions using polymeric hollow-fibers. POLYM ENG SCI 2014. [DOI: 10.1002/pen.23771] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Mehdi Ghadiri
- School of Chemical, Gas and Petroleum Engineering; University of Semnan; Semnan 35196-45399 Iran
| | - Mehdi Parvini
- School of Chemical, Gas and Petroleum Engineering; University of Semnan; Semnan 35196-45399 Iran
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26
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Nosratinia F, Ghadiri M, Ghahremani H. Mathematical modeling and numerical simulation of ammonia removal from wastewaters using membrane contactors. J IND ENG CHEM 2014. [DOI: 10.1016/j.jiec.2013.10.065] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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27
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Mohammadi M, Shirazian S, Asadollahzadeh M, Jamshidy L, Hemmati A. Separation of greenhouse gases from gas mixtures using nanoporous polymeric membranes. POLYM ENG SCI 2014. [DOI: 10.1002/pen.23953] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Mehrnoush Mohammadi
- Department of Chemical Engineering; Faculty of Engineering, South Tehran Branch, Islamic Azad University; Tehran, P.O. Box 19585-466 Iran
| | - Saeed Shirazian
- Department of Chemical Engineering; Faculty of Engineering, South Tehran Branch, Islamic Azad University; Tehran, P.O. Box 19585-466 Iran
| | - Mehdi Asadollahzadeh
- Department of Petroleum Engineering; Faculty of Engineering, South Tehran Branch, Islamic Azad University; Tehran Iran
| | - Ladan Jamshidy
- Department of Prosthodontics; School of Dentistry, Kermanshah University of Medical Science; Kermanshah Iran
| | - Alireza Hemmati
- Department of Chemical Engineering; Faculty of Engineering, South Tehran Branch, Islamic Azad University; Tehran, P.O. Box 19585-466 Iran
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28
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Ghadiri M, Abkhiz V, Parvini M, Marjani A. Simulation of Membrane Distillation for Purifying Water Containing 1,1,1-Trichloroethane. Chem Eng Technol 2014. [DOI: 10.1002/ceat.201300473] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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29
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Barati F, Ghadiri M, Ghasemi R, Nobari HM. CFD Simulation and Modeling of Membrane-Assisted Separation of Organic Compounds from Wastewater. Chem Eng Technol 2013. [DOI: 10.1002/ceat.201300278] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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30
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Tahvildari K, Zarabpour A, Ghadiri M, Hemmati A. Numerical simulation studies on heat and mass transfer using vacuum membrane distillation. POLYM ENG SCI 2013. [DOI: 10.1002/pen.23799] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Kambiz Tahvildari
- Department of Chemistry; Pharmaceutical Sciences Branch; Islamic Azad University; Tehran Iran
| | - Adel Zarabpour
- Department of Chemical Engineering; Faculty of Engineering; South Tehran Branch; Islamic Azad University; Tehran Iran
| | - Mehdi Ghadiri
- Department of Chemical Engineering; Research Lab for Advanced Separation Processes; Iran University of Science and Technology; Narmak Tehran 16846-13114 Iran
| | - Alireza Hemmati
- Department of Chemical Engineering; Faculty of Engineering; South Tehran Branch; Islamic Azad University; Tehran Iran
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31
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Wu XK, Sha HF, Zhang F, Wu FW, Zhang ZB, Wang ZX. Influence of Geometry Structures on the Transfer and Flow Characteristics of Membrane Modules. Chem Eng Technol 2013. [DOI: 10.1002/ceat.201300329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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