{"title":"A simple approach for effective CFD simulation of turbulent pipe transport of shear-thinning, power-law fluids","authors":"J.I. Soto , G.V. Messa , M.R. Malin , W. Brevis","doi":"10.1016/j.apm.2025.116324","DOIUrl":null,"url":null,"abstract":"<div><div>This study presents a simple, efficient approach for the CFD simulation of turbulent pipe transport of shear-thinning, power-law fluids. The method is developed within the Newtonian-based Reynolds-Averaged Navier-Stokes (RANS) framework, and it relies on a modification to the Reynolds-averaged apparent viscosity function to compensate for errors induced by the non-decomposition of the instantaneous apparent viscosity, as well as for the use of turbulence models developed for Newtonian fluids. Specifically, the Reynolds-averaged apparent viscosity switches from a power law to a logarithmic function for averaged shear rates below a threshold value, called the “critical shear rate”, which becomes a calibration parameter of the model. The new framework was tested against DNS data reported in the literature for different pipe-flow conditions, covering combinations of flow index <span><math><mi>n</mi><mo>=</mo><mo>{</mo><mn>1.0</mn><mo>,</mo><mn>0.8</mn><mo>,</mo><mn>0.6</mn><mo>}</mo></math></span> and friction Reynolds number <span><math><msub><mrow><mi>Re</mi></mrow><mrow><mi>τ</mi></mrow></msub><mo>=</mo><mo>{</mo><mn>323</mn><mo>,</mo><mn>500</mn><mo>,</mo><mn>750</mn><mo>}</mo></math></span>, as well as against well-established correlations for the friction factor, with the analysis extended to cases up to <span><math><mi>n</mi><mo>=</mo><mn>0.4</mn></math></span> and <span><math><msub><mrow><mi>Re</mi></mrow><mrow><mi>τ</mi></mrow></msub><mo>=</mo><mn>2</mn><mo>,</mo><mn>500</mn></math></span>. The analysis was conducted by employing three different turbulence models, namely Lam-Bremhorst <em>k</em>-<em>ε</em>, two-layer <em>k</em>-<em>ε</em>, and <em>k</em>-<em>ω</em> SST, which all rely on a low-Reynolds number treatment to obtain a detailed flow description in the near-wall region. The proposed approach appears attractive from an engineering standpoint, as it allows obtaining reasonably accurate prediction of main features of turbulent pipe transport of shear-thinning, power-law fluids, with a simple mathematical formulation and a robust and easy-to-converge character that can make a difference for the application to more complex flows.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"150 ","pages":"Article 116324"},"PeriodicalIF":4.4000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematical Modelling","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0307904X25003981","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
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Abstract
This study presents a simple, efficient approach for the CFD simulation of turbulent pipe transport of shear-thinning, power-law fluids. The method is developed within the Newtonian-based Reynolds-Averaged Navier-Stokes (RANS) framework, and it relies on a modification to the Reynolds-averaged apparent viscosity function to compensate for errors induced by the non-decomposition of the instantaneous apparent viscosity, as well as for the use of turbulence models developed for Newtonian fluids. Specifically, the Reynolds-averaged apparent viscosity switches from a power law to a logarithmic function for averaged shear rates below a threshold value, called the “critical shear rate”, which becomes a calibration parameter of the model. The new framework was tested against DNS data reported in the literature for different pipe-flow conditions, covering combinations of flow index and friction Reynolds number , as well as against well-established correlations for the friction factor, with the analysis extended to cases up to and . The analysis was conducted by employing three different turbulence models, namely Lam-Bremhorst k-ε, two-layer k-ε, and k-ω SST, which all rely on a low-Reynolds number treatment to obtain a detailed flow description in the near-wall region. The proposed approach appears attractive from an engineering standpoint, as it allows obtaining reasonably accurate prediction of main features of turbulent pipe transport of shear-thinning, power-law fluids, with a simple mathematical formulation and a robust and easy-to-converge character that can make a difference for the application to more complex flows.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.