Numerical study on the erosion process of the low temperature economizer using computational fluid dynamics-discrete particle method

s In this study, Computational Fluid Dynamics (CFD) was used to simulate the flow and temperature distribution in zinc pot of hot-dip galvanizing process. The flow and temperature distribution in a base-case zinc pot was compared to that in other two optimized zinc pots, one of which had a dam between ingot and snout and another one had a reduced heating power. The simulation shows that the dam impedes the flow of low temperature liquid zinc around zinc ingot to strip and increases the fluctuation of zinc level. By reducing the heating power, however, the fluctuation of zinc level could be suppressed.

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Cooling and Freezing of Cashew Apple Using Computational Fluid Dynamics

Diffusion Foundations ◽

10.4028/www.scientific.net/df.25.114 ◽

2020 ◽

Vol 25 ◽

pp. 114-132 ◽

Cited By ~ 1

Author(s):

V.A. Agra Brandão ◽

R. Araújo de Queiroz ◽

R. Lima Dantas ◽

G. Santos de Lima ◽

N. Lima Tresena ◽

...

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Nutritional Value ◽

Fruits And Vegetables ◽

Numerical Study ◽

Freezing Process ◽

Ansys Cfx ◽

Cashew Apple ◽

Freezing Period ◽

Kinetics Of

Freezing is one the most efficient methods for conservation, especially, fruits and vegetables. Cashew is a fruit with high nutritional value and great economic importance in the Northeast region of Brazil, however, due to high moisture content, it is highly perishable. The numerical study of the freezing process is of great importance for the optimization of the process. In this sense, the objective of this work was to study the cooling and freezing processes of cashew apple using computational fluid dynamics technique. Experiments of cooling and freezing of the fruit, with the aid of a refrigerator,data acquisition system and thermocouples, and simulation using Ansys CFX® software for obtain the cooling and freezing kinetics of the product were realized. Results of the cooling and freezing kinetics of the cashew apple and temperature distribution inside the cashew apple are presented, compared and analyzed. The model was able to predict temperaturetransient behavior with good accuracy, except in the post-freezing period.

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Numerical study of the biomass pyrolysis process in a spouted bed reactor through computational fluid dynamics

Energy ◽

10.1016/j.energy.2020.118839 ◽

2021 ◽

Vol 214 ◽

pp. 118839

Author(s):

Shiliang Yang ◽

Ruihan Dong ◽

Yanxiang Du ◽

Shuai Wang ◽

Hua Wang

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Numerical Study ◽

Pyrolysis Process ◽

Biomass Pyrolysis ◽

Spouted Bed

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Assessment of polydisperse drag models for the size segregation in a bubbling fluidized bed using discrete particle method

Chemical Engineering Science ◽

10.1016/j.ces.2016.11.028 ◽

2017 ◽

Vol 160 ◽

pp. 106-112 ◽

Cited By ~ 23

Author(s):

Yong Zhang ◽

Yuemin Zhao ◽

Liqiang Lu ◽

Wei Ge ◽

Junwu Wang ◽

...

Keyword(s):

Fluidized Bed ◽

Particle Method ◽

Size Segregation ◽

Discrete Particle ◽

Bubbling Fluidized Bed ◽

Drag Models ◽

Discrete Particle Method

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Experimental and Numerical Study of Ascending Aorta Hemodynamics Through 3D Particle Tracking Velocimetry and Computational Fluid Dynamics

Volume 1A: Abdominal Aortic Aneurysms; Active and Reactive Soft Matter; Atherosclerosis; BioFluid Mechanics; Education; Biotransport Phenomena; Bone, Joint and Spine Mechanics; Brain Injury; Cardiac Mechanics; Cardiovascular Devices, Fluids and Imaging; Cartilage and Disc Mechanics; Cell and Tissue Engineering; Cerebral Aneurysms; Computational Biofluid Dynamics; Device Design, Human Dynamics, and Rehabilitation; Drug Delivery and Disease Treatment; Engineered Cellular Environments ◽

10.1115/sbc2013-14466 ◽

2013 ◽

Author(s):

Utku Gülan ◽

Diego Gallo ◽

Raffaele Ponzini ◽

Beat Lüthi ◽

Markus Holzner ◽

...

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Particle Tracking ◽

Particle Tracking Velocimetry ◽

Numerical Study ◽

Imaging Techniques ◽

Ascending Aorta ◽

Human Aorta ◽

Wide Range

The complex hemodynamics observed in the human aorta make this district a site of election for an in depth investigation of the relationship between fluid structures, transport and pathophysiology. In recent years, the coupling of imaging techniques and computational fluid dynamics (CFD) has been applied to study aortic hemodynamics, because of the possibility to obtain highly resolved blood flow patterns in more and more realistic and fully personalized flow simulations [1]. However, the combination of imaging techniques and computational methods requires some assumptions that might influence the predicted hemodynamic scenario. Thus, computational modeling requires experimental cross-validation. Recently, 4D phase contrast MRI (PCMRI) has been applied in vivo and in vitro to access the velocity field in aorta [2] and to validate numerical results [3]. However, PCMRI usually requires long acquisition times and suffers from low spatial and temporal resolution and a low signal-to-noise ratio. Anemometric techniques have been also applied for in vitro characterization of the fluid dynamics in aortic phantoms. Among them, 3D Particle Tracking Velocimetry (PTV), an optical technique based on imaging of flow tracers successfully used to obtain Lagrangian velocity fields in a wide range of complex and turbulent flows [4], has been very recently applied to characterize fluid structures in the ascending aorta [5].

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