Evaluation of drag correlations using particle resolved simulations of spheres and ellipsoids in assembly

He, Long; Tafti, Danesh K.; Nagendra, Krishnamurthy

doi:10.1016/j.powtec.2017.03.020

Cited by 53 publications

(18 citation statements)

References 31 publications

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“…In general, the traditional approach under‐predicts the drag force by 26–66% for various solid volume fractions. It is noted that the large deviation between results from the traditional approach and that from PR‐DNSs has also been reported by He et al They found that the correlation combining Di Felice's voidage correction factor and the model by Holzer and Sommerfeld under‐predicts the drag force by 23–44% at solid volume fractions ranging from 0.1 to 0.35 when the Reynolds number and the aspect ratio are 10 and 5/2, respectively. They also pointed out that this deviation would decrease with the increase of the Reynolds number, suggesting that the traditional drag model for ellipsoids may have better performance at moderate and high Reynolds numbers.…”

Section: Resultsmentioning

confidence: 54%

“…However, the validity of this method has not been comprehensively assessed using results from experiments or direct numerical simulations. Using the immersed boundary method, He et al computed the mean drag force on random assemblies of ellipsoids with different solid volume fractions from 0.1 to 0.35 at low to moderate Reynolds numbers. They compared their results with the correlation obtained by combining single nonspherical particle drag models and the voidage correction factor from Wen and Yu model as well as Di Felice model.…”

Section: Introductionmentioning

confidence: 99%

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Effect of particle orientation on the drag force in random arrays of prolate ellipsoids in low‐Reynolds‐number flows

Jiang

Huang

et al. 2019

AIChE Journal

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Direct numerical simulations are performed to study the effect of particle orientation on flows through fixed random arrays of prolate ellipsoids at low Reynolds numbers.The Hermans orientation factor and Beta distribution are introduced to quantify the mean orientation and orientation deviation of the particles. The simulation resultsshow that the effect of particle orientation is profound especially when the solid volume fraction and the aspect ratio are large. With the increase of Hermans orientation factors, the drag force decreases when the flow follows a reference direction defined by the average direction of all particles' semi-major axes, while increases when the flow is perpendicular to the reference direction. Comparisons show that the traditional drag force correlations for ellipsoidal particles significantly under-predict the drag force. Based on current simulation results, new drag relations are proposed for prolate ellipsoidal particles at arbitrary aspect ratios, Hermans orientation factors and solid volume fractions. K E Y W O R D S ellipsoids, fluidization, Hermans orientation factors, multiphase flow, the drag force

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Section: Resultsmentioning

confidence: 54%

Section: Introductionmentioning

confidence: 99%

Effect of particle orientation on the drag force in random arrays of prolate ellipsoids in low‐Reynolds‐number flows

Jiang

Huang

et al. 2019

AIChE Journal

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“…Gurubasavaraju等人 [62] 采用CFD方法模拟了磁流变液阻尼器在不同电流、不同频率下的响应, 计算与实验相符. 特别地, He等人 [63] 采用CFD方法研究不同形状、不同质量分数的颗粒的流动阻力系数, 为颗粒动力学模拟提供理论基础.…”

Section: 指出成链过程由颗粒体积分数主导磁场力模型的unclassified

Recent progress on the simulation technology of magnetic fluid

Pei¹,

Gong²,

Xuan³

2019

Chin. Sci. Bull.

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“…Besides computer game and movie industry, PhysX has been extensively used as a powerful scientific simulation tool in many disciplines, including robotic control 41,42 , granular materials [43][44][45] , structural engineering 46 , construction engineering [47][48][49] , crowd simulation 50 , biomedical engineering 51,52 , autonomous vehicle research 53 , virtual and augmented reality 54 , and psychological research 55 .…”

Section: Introduce To Physics Engine Techniques and Physxmentioning

confidence: 99%

Simulations of realistic granular soils in oedometer tests using physics engine

Zheng

2020

Num Anal Meth Geomechanics

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Summary Discrete element method (DEM) has become a preeminent numerical tool for investigating the mechanical behavior of granular soils. However, traditional DEM uses sphere clusters to approximate realistic particles, which is computationally demanding when simulating many particles. This paper demonstrates the potential of using a physics engine technique to simulate realistic particles. The physics engines are originally developed for video games for simulating physical and mechanical processes that occur in the real world to produce realistic game experiences. The simulation accuracy and efficiency of physics engines have been significantly improved in the last two decades allowing them to be used as a scientific tool in many disciplines. This paper introduces modeling methodologies of physics engine including realistic particle representation and the contact model. Then, oedometer tests are simulated using realistic particles scanned by X‐ray computed tomography (X‐ray CT). The simulation results agree well with experimental results. This paper demonstrates that physics engines can output contact parameters for geotechnical analysis and force chains for visualization.

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Evaluation of drag correlations using particle resolved simulations of spheres and ellipsoids in assembly

Cited by 53 publications

References 31 publications

Effect of particle orientation on the drag force in random arrays of prolate ellipsoids in low‐Reynolds‐number flows

Effect of particle orientation on the drag force in random arrays of prolate ellipsoids in low‐Reynolds‐number flows

Recent progress on the simulation technology of magnetic fluid

Simulations of realistic granular soils in oedometer tests using physics engine

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