Numerical and Process Modelling in Computational Fluid Dynamics

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".

Deadline for manuscript submissions: 15 November 2025 | Viewed by 567

Special Issue Editors


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Department of Basic Sciences and Environmental, Engineering College of Lorena, University of São Paulo—USP, São Paulo 12602-810, Brazil
Interests: fluid mechanics; numerical simulation; heat and mass transfer; applied mathematics

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Guest Editor
Institute of Exact and Earth Sciences, Federal University of Mato Grosso, Av. Valdon Varjão, 6390, Barra do Garças 78605-091, Mato Grosso, Brazil
Interests: computational fluid mechanics; numerical simulation; heat and mass transfer; wind engineering
College of Engineering and Aviation, Central Queensland University, Cairns Square, Corner Abbott and Shields Streets, Cairns, QLD 4870, Australia
Interests: computational fluid dynamics modeling; fluid flow systems; applications of thermo-fluid processes; heat and mass transfer applications; renewable energy technologies; environmental pollution; hydrodynamic modelling of waste water treatment
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Special Issue Information

Dear Colleagues,

The advancement of numerical modelling in Computational Fluid Dynamics (CFD) has been driven by the development of high-order discretization schemes, efficient solvers, and robust turbulence models. Recent studies have demonstrated improved accuracy and stability through spectral methods, finite element formulations, and high-resolution finite volume schemes. In addition, hybrid approaches combining deterministic and stochastic processes, such as uncertainty quantification and data-driven modelling, have enhanced the predictive capability of CFD simulations. These advancements are particularly relevant for mechanical engineering applications, including aerodynamics, thermal management, and fluid–structure interactions, where precise numerical solutions are critical for optimising performance and reliability.

This Special Issue on “Numerical Modelling in Computational Fluid Dynamics” seeks high-quality works focusing on the latest novel advances in the following areas:

  • Computational fluid mechanics;
  • Computacional and applied mathematics;
  • Heat and mass transfer applications with computational tools;
  • Computational and applied solid mechanics;
  • Computational wind engineering.

Dr. Estaner Claro Romão
Dr. Marco Donisete de Campos
Dr. Nur Hassan
Guest Editors

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Keywords

  • numerical simulations
  • modelling
  • applied mathematics
  • fluid dynamics
  • heat and mass transfer

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Published Papers (1 paper)

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Research

19 pages, 3821 KiB  
Article
Experimental Study on Particle Settling in Fiber-Containing Non-Newtonian Fluids
by Hui Zhang, Heng Wang, Yinsong Liu, Liang Tao, Jingyu Qu and Chao Liang
Processes 2025, 13(8), 2542; https://doi.org/10.3390/pr13082542 - 12 Aug 2025
Viewed by 319
Abstract
To investigate the settling behavior and drag characteristics of particles in fiber-containing non-Newtonian fluids, a series of systematic single-particle settling experiments were conducted. Power-law and Herschel–Bulkley fluids were prepared as base media, into which polyester fibers of various concentrations and lengths were introduced. [...] Read more.
To investigate the settling behavior and drag characteristics of particles in fiber-containing non-Newtonian fluids, a series of systematic single-particle settling experiments were conducted. Power-law and Herschel–Bulkley fluids were prepared as base media, into which polyester fibers of various concentrations and lengths were introduced. The effects of fiber structural parameters on fluid rheology and terminal settling velocity were thoroughly evaluated. First, the rheological changes induced by fiber addition were quantitatively analyzed, revealing a nonlinear increase in both viscosity and yield stress with increasing fiber concentration and length. Subsequently, the total drag force was decomposed into viscous and fiber-induced components, and a predictive model for the fiber-induced drag coefficient was developed based on fiber structural parameters. A power-law fitting approach was employed to characterize the nonlinear relationship between the fiber drag coefficient and the particle Reynolds number. Furthermore, a parametric coupling strategy was employed, in which fiber concentration and length were embedded into the model coefficients to construct a unified and continuous predictive model for the total drag coefficient. Experimental validation demonstrated that the mean relative errors (MREs) of the proposed model were within 5.17% for power-law fluids and 9.95% for Herschel–Bulkley fluids, indicating strong predictive accuracy and applicability. The findings of this study provide a robust theoretical and experimental basis for optimizing fiber-enhanced cutting transport systems and modeling particle transportation under complex drilling conditions. Full article
(This article belongs to the Special Issue Numerical and Process Modelling in Computational Fluid Dynamics)
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