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Poster De Conférence Année : 2023

Numerical and experimental analysis of spherical and non-spherical particles in a rotary drum: Metamodels for calibrating the friction coefficients in a rotary drum from DEM simuations

Résumé

Rotary drums are suitable tools to process a large range of granular materials in several applications, especially in the food industry. The efficiency of rotary drums is highly dependent on the flow dynamics, so predicting the flow behavior of particles is important for the equipment design and optimization of processes. In recent years, it has seen a growing trend toward the use of numerical simulations to describe the granular flow in various applications, including the flow in rotary drums. For this purpose, the discrete element method (DEM) is a consolidated tool. However, this technique requires knowledge about the input parameters related to the properties of particles and their interactions. A common approach reported in the literature (Xiao et al., 2023; Coetzee, 2020) is to choose the DEM input parameters by calibrating the DEM model against experimental measurements, i.e., adjusting the input parameters until the outputs match the bulk experimental observations. This technique is preferable to the direct measurement of the parameters because it considers the bulk response of the flow dynamics. Many efforts can be found in the literature to calibrate these parameters for spherical particles (e.g., Brandão et al., 2020). Still, the granular systems in food applications usually are constituted of particles whose shape is not spherical; hence, studying their flow behavior can thus be more complicated. So, this paper aimed to calibrate the DEM input parameters, named static friction and rolling friction coefficients, of two food grains almost spherical, (quinoa grains and pearl pasta) and of one food grain, named crozet pasta, that exhibits a platy shape. The experimental protocol involved firstly the observation of the dynamic repose angle and the mixing phenomena inside a rotary drum with a diameter of 84 mm, and then the comparison, using image analysis, to the simulated results obtained by the open-source DEM code LIGGGHTS. The results contribute to validating experimentally the flow behavior of food materials with different shapes, as a previous step to model the coupled heat transfer phenomena. XIAO, X., LI, Y., PENG, R., GAO, J., HU, C. Parameter calibration and mixing uniformity of irregular gravel materials in a rotating drum. Powder Technol. 414 (2023). COETZEE, C. Calibration of the discrete element method: Strategies for spherical and non-spherical particles. Powder Technol. 365 (2020). BRANDÃO, R.J., LIMA, R.M., SANTOS, R.L., DUARTE, C.R., BARROZO, M.A.S. Experimental study and DEM analysis of granular segregation in a rotating drum. Powder Technol. 364 (2020).
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Dates et versions

hal-04333051 , version 1 (09-12-2023)

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  • HAL Id : hal-04333051 , version 1

Citer

Marcela V C Machado, Artemio Plana-Fattori, Kevin Lachin, Stéphane Vitu, Cristian Trelea, et al.. Numerical and experimental analysis of spherical and non-spherical particles in a rotary drum: Metamodels for calibrating the friction coefficients in a rotary drum from DEM simuations. Partec 2023 (International Congress on Particle Technology), Sep 2023, Nuremberg, Germany. ⟨hal-04333051⟩
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