Modeling and Simulation of Rectangular Sheet Membrane Using Computational Fluid Dynamics (CFD)

2021 ◽  
pp. 345-356
Author(s):  
Anirban Banik ◽  
Sushant Kumar Biswal ◽  
Tarun Kanti Bandyopadhyay ◽  
Vladimir Panchenko ◽  
J. Joshua Thomas
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Modeling And Simulation ◽  
Computational Fluid Dynamics Cfd ◽  
Sheet Membrane

Computational fluid dynamics application to aerospace science

2009 ◽  
Vol 113 (1148) ◽  
pp. 619-632 ◽  
Author(s):  
J. S. Shang
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Literature Review ◽  
Modeling And Simulation ◽  
Basic Research ◽  
Simulation Technology ◽  
Aerospace Application ◽  
Research Areas ◽  
Computational Fluid Dynamics Cfd ◽  
Scientists And Engineers

Abstract A brief narration on significant accomplishments in computational fluid dynamics (CFD) for basic research and aerospace application is attempted to highlight the outstanding achievements by scientists and engineers of this discipline. To traverse such a vast domain, numerous and excellent contributions to CFD will be unintentionally overlooked by the author’s limited exposure. Nevertheless it is an ardent hope that the present abridged literature review will aid to reaffirm excellence in research and to identify knowledge shortfalls both in aerodynamics and its modeling and simulation capability. The future modeling and simulation technology needs, as well as potential and fertile research areas, are humbly put forth for consideration.

scholarly journals Modeling and Simulation of Reaction Environment in Photoredox Catalysis: A Critical Review

2022 ◽  
Vol 3 ◽  
Author(s):  
Gabriela Xavier de Oliveira ◽  
Jéssica Oliveira de Brito Lira ◽  
Humberto Gracher Riella ◽  
Cíntia Soares ◽  
Natan Padoin
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Modeling And Simulation ◽  
Continuous Flow ◽  
Reaction Medium ◽  
Added Value ◽  
Side Reactions ◽  
Photoredox Catalysis ◽  
Comprehensive Overview ◽  
Computational Fluid Dynamics Cfd

From the pharmaceutical industry’s point of view, photoredox catalysis has emerged as a powerful tool in the field of the synthesis of added-value compounds. With this method, it is possible to excite the catalyst by the action of light, allowing electron transfer processes to occur and, consequently, oxidation and reduction reactions. Thus, in association with photoredox catalysis, microreactor technology and continuous flow chemistry also play an important role in the development of organic synthesis processes, as this technology offers high yields, high selectivity and reduced side reactions. However, there is a lack of a more detailed understanding of the photoredox catalysis process, and computational tools based on computational fluid dynamics (CFD) can be used to deal with this and boost to reach higher levels of accuracy to continue innovating in this area. In this review, a comprehensive overview of the fundamentals of photoredox catalysis is provided, including the application of this technology for the synthesis of added-value chemicals in microreactors. Moreover, the advantages of the continuous flow system in comparison with batch systems are pointed out. It was also demonstrated how modeling and simulation using computational fluid dynamics (CFD) can be critical for the design and optimization of microreactors applied to photoredox catalysis, so as to better understand the reagent interactions and the influence of light in the reaction medium. Finally, a discussion about the future prospects of photoredox reactions considering the complexity of the process is presented.

Optimal Design of Orifice Flow Meter Using Computational Fluid Dynamics (CFD)

2017 ◽  
Vol 17 (17th International Conference) ◽  
pp. 1-18
Author(s):  
Haitham Osman ◽  
Khairy Elsayed ◽  
Mohamed El Telbany
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Optimal Design ◽  
Flow Meter ◽  
Orifice Flow ◽  
Computational Fluid Dynamics Cfd ◽  
Orifice Flow Meter

Efficiency prediction for storage chambers using computational fluid dynamics

1996 ◽  
Vol 33 (9) ◽  
pp. 163-170 ◽  
Author(s):  
Virginia R. Stovin ◽  
Adrian J. Saul
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Shear Stress ◽  
Particle Tracking ◽  
Critical Value ◽  
Complex Geometries ◽  
Bed Shear Stress ◽  
Breadth Ratio ◽  
Computational Fluid Dynamics Cfd ◽  
Simulated Flow

Research was undertaken in order to identify possible methodologies for the prediction of sedimentation in storage chambers based on computational fluid dynamics (CFD). The Fluent CFD software was used to establish a numerical model of the flow field, on which further analysis was undertaken. Sedimentation was estimated from the simulated flow fields by two different methods. The first approach used the simulation to predict the bed shear stress distribution, with deposition being assumed for areas where the bed shear stress fell below a critical value (τcd). The value of τcd had previously been determined in the laboratory. Efficiency was then calculated as a function of the proportion of the chamber bed for which deposition had been predicted. The second method used the particle tracking facility in Fluent and efficiency was calculated from the proportion of particles that remained within the chamber. The results from the two techniques for efficiency are compared to data collected in a laboratory chamber. Three further simulations were then undertaken in order to investigate the influence of length to breadth ratio on chamber performance. The methodology presented here could be applied to complex geometries and full scale installations.

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