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Implementation of surface tension force in fluid flow during reactive rotational molding

Article dans une revue avec comité de lecture
Author
HAMIDI, A.
ILLOUL, A.
10921 Institut de Recherche en Génie Civil et Mécanique [GeM]
ccSHIRINBAYAN, Mohammadali
ccTCHARKHTCHI, Abbas
14421 Laboratoire d'Ingénierie des Matériaux [LIM]
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
ccBAKIR, Farid
134975 Laboratoire de Dynamique des Fluides [DynFluid]
ccKHELLADI, Sofiane

URI
http://hdl.handle.net/10985/17851
DOI
10.1007/s12289-015-1217-z
Date
2015
Journal
International Journal of Material Forming

Abstract

During Reactive Rotational Molding (RRM), it is very important to predict the fluid flow in order to obtain the piece with homogeneous shape and high quality. This prediction may be possible by simulation the fluid flow during rotational molding. In this study we have used a mixture of isocyanate and polyol as reactive system. The kinetic rheological behaviors of thermoset polyurethane are investigated in anisothermal conditions. Thanks to these, rheokinetik model of polyurethane was identified. Then, to simulate the RRM, we have applied Smoothed Particles Hydrodynamics (SPH) method which is suited method to simulate the fluid flow with free surface such as occurs at RRM. Modelling and simulating reactive system flow depend on different parameters; one of them is the surface tension of reactive fluid. To implement force tension surface, the interface between polymer and air is dynamically tracked by finding the particles on this border. First, the boundary particles are detected by free-surface detection algorithm developed by Barecasco, Terissa and NAA [1, 2] in two and three dimension. Then, analytical and geometrical algorithms have been used for interface reconstructions. The aim of this work is the implementation of surface tension force in the SPH solver applied to RRM. To illustrate that, we used novel and simple geometric algorithm fitting circle and fitting sphere, in two and three dimensional configurations, respectively. The model has been validated using a well-known dam break test case which covered the experimental data.

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