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International Journal of Innovative Science and Research Technology (IJISRT)· 2024

Investigating Non-Newtonian Fluid Behavior in Hydrocyclones Via Computational Fluid Dynamics

Raj Shekhar, Abir Chakravorty

Short summary

A CFD study of viscoelastic food in hydrocyclones reveals how viscosity fluctuations impact particle separation efficiency, providing insights for optimizing food processing technology.

AI-generated from the title and abstract; the full text is not read.

Key points

  • CFD analysis maps velocity profiles and pressure distributions in hydrocyclones processing viscoelastic food.
  • Viscosity fluctuations are shown to directly impact particle trajectories and separation efficiency.
  • The study identifies critical pressure regions for maximizing separation efficiency.
  • Findings aim to optimize hydrocyclone design and operating parameters for food processing.

AI-generated from the title and abstract; the full text is not read.

Abstract

Expert researchers examine complex patterns of pressure, viscosity, and velocity in a CFD study of viscoelastic food inside hydrocyclones to obtain a detailed grasp of particle behavior and fluid dynamics. Velocity profiles show how fluids and particles flow through the hydrocyclone in complex ways, while pressure distributions show where high and low pressure is found, regions that are critical for maximizing separation efficiency. Furthermore, the analysis of viscosity fluctuations clarifies the intricate relationship between fluid rheology and flow dynamics, providing information on how food's viscoelastic characteristics affect particle trajectories and separation efficiency. Utilizing this comprehensive examination, scientists hope to optimize the design and functioning parameters of the hydrocyclones, which will in turn improve the efficacy and efficiency of particle separation procedures in viscoelastic food solutions. This will ultimately lead to improvements in food processing technology and product quality. Researchers look into the impact of geometric elements on flow patterns and separation efficiency in addition to these characteristics, such as hydrocyclone size and inlet configurations. Additionally, they investigate how different operating parameters, such rotational speed and flow rate, affect how well the hydrocyclone handles viscoelastic food items. Through the integration of these complex analyses, researchers hope to create all encompassing models that can precisely forecast and optimize the behavior of viscoelastic food flows inside hydrocyclones, opening the door to improved process control and food sector product quality.

The authors' abstract, as published at the source. International Journal of Innovative Science and Research Technology (IJISRT), 2024 · DOI ↗

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Field: Computational Mechanics

Computational MechanicsEngineering