Étude De Déplacement Des Granulats De Formes Et Tailles Variées Sur Une Conduite Inclinée Immergée A L’aide Du Système Neuro-Flou

Dieu Donné Hervais Randrianarison, Honoré Razafimandimby, Lalaoharisoa Sahoby, Adolphe Ratiarison Andriamanga

Abstract


This work focuses on the flow of aggregates in a liquid using the Discrete Element Method (DEM). The objective is to model the translational velocity of aggregates of various shapes and sizes in flows with different viscosities of the immersion liquid. Simulations were performed using the ROCKY DEM software with the Discrete Element Method (DEM). The main parameters are the shape of the aggregates, size, and fluid viscosity. The flows occur in an inclined pipe, and the behavior follows Newton’s law. The Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to analyze the results obtained to achieve the modeling.

The ultimate goal of this work is to numerically describe the flow characteristics based on the shape and size of granular materials and the viscosity of the immersion liquid by applying computer simulations. It was determined that experimental data can be estimated with a particularly high degree of accuracy using the ANFIS model.


Keywords


Flow, DEM, aggregate, granular materials, number of vertices, viscosity, velocity, ANFIS.

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References


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DOI: http://dx.doi.org/10.52155/ijpsat.v47.1.6679

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