{"title":"气泡直径和湍流模型对垂直柱非线性流动动力学影响的实验和CFD评价:比较研究","authors":"Faisal Shah, Ibra Fall, Desheng Zhang","doi":"10.1016/j.chaos.2025.116421","DOIUrl":null,"url":null,"abstract":"<div><div>This study examined the impact of a few numerical factors, such as mesh density, drag model selections, turbulence models, and bubble size descriptions on the numerical accuracy of gas-liquid (GL) flow. Multiphase flow in a vertical pipe with a diameter of 76.2 mm was simulated using the Eulerian-Eulerian (EE) model provided by ANSYS Fluent. A comparison with experimental findings shows that the two-phase flows are significantly impacted by the bubble size. To determine their effect on simulation accuracy, various kinds of turbulence models are assessed such as Standard <span><math><mi>k</mi><mo>−</mo></math></span>epsilon, RNG <span><math><mi>k</mi><mo>−</mo></math></span>epsilon and the Realizable <span><math><mi>k</mi><mo>−</mo></math></span>epsilon models. Four superficial gas velocities were used to investigate turbulence models where superficial liquid velocity is constant. Realizable <span><math><mi>k</mi><mo>−</mo></math></span>epsilon model often offers the closest fit to the experimental data. Particularly at high gas velocities and improved bubble sizes. This model often gives a more perfect interpretation of the void fraction and phase distribution than the other two models. Its improved performance implies that the Realizable <span><math><mi>k</mi><mo>−</mo></math></span>epsilon model is well managing anisotropy in the turbulence, enabling more precise predictions of the void percentage in intricate, extremely turbulent flow regimes. To enhance the precision of nonlinear flow predicts, future research should concentrate on investigating complex turbulence models and higher-order numerical schemes. Additionally, examining the effects of bubble coalescence, breakup dynamics, and three-dimensional flow effects would allow for a deeper comprehension of flow behaviour in vertical columns.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":"196 ","pages":"Article 116421"},"PeriodicalIF":5.3000,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Experimental and CFD evaluation of bubble diameter and turbulence model influence on nonlinear flow dynamics in vertical columns: A comparative study\",\"authors\":\"Faisal Shah, Ibra Fall, Desheng Zhang\",\"doi\":\"10.1016/j.chaos.2025.116421\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study examined the impact of a few numerical factors, such as mesh density, drag model selections, turbulence models, and bubble size descriptions on the numerical accuracy of gas-liquid (GL) flow. Multiphase flow in a vertical pipe with a diameter of 76.2 mm was simulated using the Eulerian-Eulerian (EE) model provided by ANSYS Fluent. A comparison with experimental findings shows that the two-phase flows are significantly impacted by the bubble size. To determine their effect on simulation accuracy, various kinds of turbulence models are assessed such as Standard <span><math><mi>k</mi><mo>−</mo></math></span>epsilon, RNG <span><math><mi>k</mi><mo>−</mo></math></span>epsilon and the Realizable <span><math><mi>k</mi><mo>−</mo></math></span>epsilon models. Four superficial gas velocities were used to investigate turbulence models where superficial liquid velocity is constant. Realizable <span><math><mi>k</mi><mo>−</mo></math></span>epsilon model often offers the closest fit to the experimental data. Particularly at high gas velocities and improved bubble sizes. This model often gives a more perfect interpretation of the void fraction and phase distribution than the other two models. Its improved performance implies that the Realizable <span><math><mi>k</mi><mo>−</mo></math></span>epsilon model is well managing anisotropy in the turbulence, enabling more precise predictions of the void percentage in intricate, extremely turbulent flow regimes. To enhance the precision of nonlinear flow predicts, future research should concentrate on investigating complex turbulence models and higher-order numerical schemes. 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引用次数: 0
摘要
本研究考察了网格密度、阻力模型选择、湍流模型和气泡尺寸描述等数值因素对气液流动数值精度的影响。采用ANSYS Fluent软件提供的欧拉-欧拉(EE)模型对直径为76.2 mm的垂直管道内的多相流动进行了数值模拟。与实验结果的对比表明,气泡尺寸对两相流动有显著影响。为了确定它们对模拟精度的影响,评估了各种湍流模型,如Standard k - epsilon, RNG k - epsilon和Realizable k - epsilon模型。采用四种表面气体速度来研究表面液体速度恒定的湍流模型。可实现的k - epsilon模型通常提供最接近实验数据的拟合。特别是在高气体速度和改进的气泡尺寸。该模型往往比其他两种模型更能准确地解释孔隙率和相分布。其改进的性能表明,Realizable k−epsilon模型可以很好地管理湍流中的各向异性,从而可以更精确地预测复杂的、极端湍流状态下的空隙率。为了提高非线性流动预测的精度,未来的研究应集中在复杂湍流模型和高阶数值格式的研究上。此外,研究气泡聚并、破裂动力学和三维流动效应的影响将有助于更深入地理解垂直柱中的流动行为。
Experimental and CFD evaluation of bubble diameter and turbulence model influence on nonlinear flow dynamics in vertical columns: A comparative study
This study examined the impact of a few numerical factors, such as mesh density, drag model selections, turbulence models, and bubble size descriptions on the numerical accuracy of gas-liquid (GL) flow. Multiphase flow in a vertical pipe with a diameter of 76.2 mm was simulated using the Eulerian-Eulerian (EE) model provided by ANSYS Fluent. A comparison with experimental findings shows that the two-phase flows are significantly impacted by the bubble size. To determine their effect on simulation accuracy, various kinds of turbulence models are assessed such as Standard epsilon, RNG epsilon and the Realizable epsilon models. Four superficial gas velocities were used to investigate turbulence models where superficial liquid velocity is constant. Realizable epsilon model often offers the closest fit to the experimental data. Particularly at high gas velocities and improved bubble sizes. This model often gives a more perfect interpretation of the void fraction and phase distribution than the other two models. Its improved performance implies that the Realizable epsilon model is well managing anisotropy in the turbulence, enabling more precise predictions of the void percentage in intricate, extremely turbulent flow regimes. To enhance the precision of nonlinear flow predicts, future research should concentrate on investigating complex turbulence models and higher-order numerical schemes. Additionally, examining the effects of bubble coalescence, breakup dynamics, and three-dimensional flow effects would allow for a deeper comprehension of flow behaviour in vertical columns.
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.