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国际流体力学研究期刊

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ISSN 打印: 2152-5102

ISSN 在线: 2152-5110

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.1 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0002 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.256 SNIP: 0.49 CiteScore™:: 2.4 H-Index: 23

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COMPUTATIONAL FLUID DYNAMICS SIMULATION OF DISC MEMBRANE USED FOR IMPROVING THE QUALITY OF EFFLUENT PRODUCED BY THE RUBBER INDUSTRY

卷 44, 册 6, 2017, pp. 499-512
DOI: 10.1615/InterJFluidMechRes.2017018630
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摘要

Disc membrane is used to improve the quality of the effluent of the rubber industry. Rotation in the disc membrane is produced with the help of the gear that has been joined to the membrane to produce desirable rotational speed. The computational fluid dynamics (CFD) simulation of the disc membrane is done by using ANSYS Fluent 6.2. The meshing of the geometry of the disc membrane is done by using Gambit 2.4.6 and a mesh size of 268,794 has been selected from the grid-independent study. Using the laminar model and Fluent 6.2, prediction of flow phenomena, pressure, pressure drop, wall shear stress, and shear strain rate are studied for the disc membrane. CFD simulated results agree with our experimental values.

对本文的引用
  1. Banik Anirban, Dutta Suman, Bandyopadhyay Tarun Kanti, Biswal Sushant Kumar, Prediction of maximum permeate flux (%) of disc membrane using response surface methodology (RSM), Canadian Journal of Civil Engineering, 46, 4, 2019. Crossref

  2. Banik Anirban, Bandyopadhyay Tarun Kanti, Biswal Sushant Kumar, Computational Fluid Dynamics (CFD) Simulation of Cross-flow Mode Operation of Membrane for Downstream Processing, Recent Patents on Biotechnology, 13, 1, 2019. Crossref

  3. Banik Anirban, Biswal Sushant Kumar, Bandyopadhyay Tarun Kanti, Predicting the optimum operating parameters and hydrodynamic behavior of rectangular sheet membrane using response surface methodology coupled with computational fluid dynamics, Chemical Papers, 74, 9, 2020. Crossref

  4. Banik Anirban, Biswal Sushant Kumar, Bandyopadhyay Tarun Kanti, Panchenko Vladimir, Thomas J. Joshua, Modeling and Simulation of Rectangular Sheet Membrane Using Computational Fluid Dynamics (CFD), in Intelligent Computing and Optimization, 1324, 2021. Crossref

  5. Banik Anirban, Majumder Mrinmoy, Biswal Sushant Kumar, Bandyopadhyay Tarun Kanti, Development of Self-Organized Group Method of Data Handling (GMDH) Algorithm to Increase Permeate Flux (%) of Helical-Shaped Membrane, in Research Advancements in Smart Technology, Optimization, and Renewable Energy, 2021. Crossref

  6. Banik Anirban, Biswal Sushant Kumar, Bandyopadhyay Tarun Kanti, Development of Box Behnken Design to Predict the Optimum Operating Condition of Rectangular Sheet Membrane to Increase Permeate Flux, in Handbook of Research on Smart Technology Models for Business and Industry, 2020. Crossref

  7. Banik Anirban, Bandyopadhyay Tarun Kanti, Panchenko Vladimir, Comparative Study of Blood Flow Through Normal, Stenosis Affected and Bypass Grafted Artery Using Computational Fluid Dynamics, in Intelligent Computing & Optimization, 371, 2022. Crossref

  8. Banik Anirban, Majumder Mrinmoy, Biswal Sushant Kumar, Bandyopadhyay Tarun Kanti, Application of Group Method of Data Handling–Based Neural Network (GMDH‐NN) for Forecasting Permeate Flux (%) of Disc‐Shaped Membrane, in Handbook of Intelligent Computing and Optimization for Sustainable Development, 2022. Crossref

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