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  • Open Access


    A CFD-DEM-Wear Coupling Method for Stone Chip Resistance of Automotive Coatings with a Rigid Connection Particle Method for Non-Spherical Particles

    Jiacheng Qian1, Chenqi Zou1, Mengyan Zang1,*, Shunhua Chen2,3,*, Makoto Tsubokura4

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.2, pp. 251-280, 2022, DOI:10.32604/cmes.2022.020738

    Abstract The stone chip resistance performance of automotive coatings has attracted increasing attention in academic and industrial communities. Even though traditional gravelometer tests can be used to evaluate stone chip resistance of automotive coatings, such experiment-based methods suffer from poor repeatability and high cost. The main purpose of this work is to develop a CFD-DEM-wear coupling method to accurately and efficiently simulate stone chip behavior of automotive coatings in a gravelometer test. To achieve this end, an approach coupling an unresolved computational fluid dynamics (CFD) method and a discrete element method (DEM) are employed to account… More >

  • Open Access


    Discrete Particle Simulation of Gas-Solid Flow in Air-Blowing Seed Metering Device

    Zhengquan Li1,*, Pei Zhang1, Yongchang Sun1, Chenglin Zheng1, Liang Xu2, Dianyu E1

    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 1119-1132, 2021, DOI:10.32604/cmes.2021.016019

    Abstract In this paper, the gas and seed flow characters in the air-blowing seed metering device are investigated by using the coupled computational fluid dynamics and discrete element method (CFD-DEM) in three dimensions (3D). The method of establishing boundary model based on the computer-aided design (CAD) drawing, has been used to build the boundary model of seed metering device. The 3D laser scanning technique and multi-element method are adopted to establish the particle model. Through a combined numerical and experimental effort, using 3D CFD-DEM software, which is based on the in-house codes, the mechanisms governing the More >

  • Open Access


    Numerical Study of Trapped Solid Particles Displacement From the Elbow of an Inclined Oil Pipeline

    Dingqian Ding1,2, Yongtu Liang1,*, Yansong Li1,3, Jianfei Sun1, Dong Han1, Jing Liu4

    CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.1, pp. 273-290, 2019, DOI:10.32604/cmes.2019.07228

    Abstract The solid particle impurities generated by pipe wall corrosion might deposit at the elbow of hilly pipelines during the production shutdown of oil pipelines. These solid particle impurities will seriously affect the safety of the pipeline operation and the quality of the petroleum products. Thus, it is necessary to study the methods of removing these trapped particles from pipelines. At present, the most common way to remove these solid particle impurities is pigging oil pipelines periodically by utilizing the mechanical pigging method, while the frequent pigging operation will increase the cost and risk of pipeline… More >

  • Open Access


    A Scaling Approach for CFD-DEM Modelling of Thermochemical Behaviours in Moving Bed Reactors and Its Application

    Qinfu Hou1,*, Dianyu E.1,2, Shibo Kuang1, Aibing Yu1,3

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 96-97, 2019, DOI:10.32604/icces.2019.05438

    Abstract Intensive heat and mass transfer between continuum fluids and discrete particulate materials plays a critical role in many chemical reactors [1]. For example, the shaft furnace and the blast furnace in ironmaking are operated with continuous charge and discharge of solid materials, and it takes hours for the solid materials moving from the furnace top to the bottom. To understand and improve the operation of these reactors, discrete particle models are very helpful when combined with flow, heat and mass transfer, and chemical reaction models [2-6]. However, due to the high computational cost with such… More >

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