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Asif M, Grande CA. TPMS Contactors Designed with Imprinted Porosity: Numerical Evaluation of Momentum and Energy Transport. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c03384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Mohammad Asif
- Laboratory of Intensification of Materials and Processes (IMAP), Advanced Membranes and Porous Materials (AMPM) Center & KAUST Catalysis Center (KCC), King Abdullah University of Science and Technology (KAUST), Thuwal23955-6900, Saudi Arabia
| | - Carlos A. Grande
- Laboratory of Intensification of Materials and Processes (IMAP), Advanced Membranes and Porous Materials (AMPM) Center & KAUST Catalysis Center (KCC), King Abdullah University of Science and Technology (KAUST), Thuwal23955-6900, Saudi Arabia
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Numerical Simulation of Heat and Mass Transfer in an Open-Cell Foam Catalyst on Example of the Acetylene Hydrogenation Reaction. CHEMENGINEERING 2022. [DOI: 10.3390/chemengineering6010011] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
In the present work, based on numerical simulation, a comparative analysis of the flow of a chemically reacting gas flow through a catalyst is performed using the example of selective hydrogenation of acetylene in a wide range of flow temperatures variation. Catalyst models are based on open-cell foam material. A comparison is also made with calculations and experimental data for a granular catalyst. The porosity and cell diameter were chosen as variable parameters for the porous catalyst. The results of numerical studies were obtained in the form of component concentration fields of the gas mixture, vector fields of gas movement, values of conversion, and selectivity of the reaction under study. The parameters of the porous material of the catalyst are determined for the maximum efficiency of the process under study.
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