非稳态宾汉流体流动的晶格玻尔兹曼模拟

IF 2.2 Q2 ENGINEERING, MULTIDISCIPLINARY
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引用次数: 0

摘要

粘塑性流体的瞬态流具有非常独特的特性。对粘塑性材料的启动和停止流动进行了许多理论和数值研究。粘塑性流体数值求解的最大挑战在于从屈服材料向未屈服材料过渡期间的粘度奇异性。因此,屈服面的正确表示是粘塑性流体流动数值方法中最关键的方面。在本研究中,我们使用晶格玻尔兹曼方案来求解理想宾汉流体的启动和停止流动。这种数值方案的优势在于可以表示无限粘度,而不会产生明显的数值不稳定性,生成的屈服面精度更高、质量更好。启动流的理论解法可在文献中找到。不过,目前还不清楚哪种方案更准确,也不清楚它们的有效范围。尽管如此,这些解决方案仍可作为本模拟的参考。数值解的总体情况与理论模型一致。还模拟了宾汉流体的停止流动。与牛顿流体不同,众所周知,这种流动在停止前有一个有限的周期。模拟正确地再现了这种行为。瞬态屈服面与增量拉格朗日解法非常吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lattice Boltzmann simulations of unsteady Bingham fluid flows
Transient flows of viscoplastic fluids have very peculiar characteristics. The startup and cessation flows of viscoplastic materials have been subject to many theoretical and numerical investigations. The most challenging aspect of numerical solutions of viscoplastic fluids is the viscosity singularity during the transition from yielded to unyielded material. Hence, the proper representation of yield surfaces is the most critical aspect of numerical methods in viscoplastic fluid flow. In the present work, we use a lattice Boltzmann scheme to solve an ideal Bingham fluid’s startup and cessation flows. This numerical scheme advantage is that can represent infinite viscosity without noticeable numerical instabilities, producing yield surfaces with more accuracy and quality. Theoretical solutions for the startup flow are available in the literature. However, it is unclear which is more accurate and what their validity ranges are. Nonetheless, these solutions served as a reference for the present simulations. The overall aspect of the numerical solutions agreed with the theoretical models. The cessation flow of the Bingham fluid was also simulated. Unlike a Newtonian fluid, this type of flow is known to have a finite period until cessation. The simulations correctly reproduced this behavior. The transient yield surfaces matched very well with augmented Lagrangian solutions.
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来源期刊
Applications in engineering science
Applications in engineering science Mechanical Engineering
CiteScore
3.60
自引率
0.00%
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0
审稿时长
68 days
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