Numerical investigation of the density sorting of grains using water jigging

Matthieu Constant (1) , Nathan Coppin (1) , Frédéric Dubois (2, 3) , Riccardo Artoni (4) , Jonathan Lambrechts (1) , Vincent Legat (1)

1 IMMC - Institute of Mechanics, Materials and Civil Engineering [Louvain]
2 COMPEX - Expérimentation & Calcul Scientifique
3 MIST - Laboratoire de micromécanique et intégrité des structures
4 IFSTTAR/MAST/GPEM - Granulats et Procédés d'Elaboration des Matériaux

This paper is devoted to the investigation of the density sorting of grains using water jigging. Experiments achieved in a laboratory scale water jig for two initial binary bed configurations are studied and compared to numerical results. The vertical composition of the deposit is estimated after different number of water pulses to represent the sorting evolution in time. Simulations are based on a multiscale model in which the fluid is solved at a larger scale than the grain diameter using the finite element method, while the grains are considered as rigid bodies and solved using the nonsmooth contact dynamics. Key parameters are numerically varied and observed to determine the sensitivity of the process.

Mots clés: MULTISCALE MODEL; DISCRETE ELEMENT; FINITE ELEMENT; JIGGING; DENSITY SORTING; GRANULAR FLOW

Mots clés: MODELE; METHODE DES ELEMENTS DISCRETS; METHODE DES ELEMENTS FINIS; DENSITE; MATERIAU GRANULAIRE; ECOULEMENT; EXPERIMENTATION; ESSAI EN LABORATOIRE; SIMULATION NUMERIQUE; JIGGING

Domaines: Matériaux

Matthieu Constant, Nathan Coppin, Frédéric Dubois, Riccardo Artoni, Jonathan Lambrechts, et al.. Numerical investigation of the density sorting of grains using water jigging. Powder Technology, 2021, 393, p.705-721. ⟨10.1016/j.powtec.2021.07.036⟩. ⟨hal-03324034⟩