Abstract
Small fillers (e.g., carbon fibers) are commonly added to polymer foams to create composite foams that can improve foam properties such as thermal and electrical conductivity. Understanding the motion and orientation of fillers during the foaming process is crucial because these can affect the properties of composite foams significantly. In this work, a hybrid lattice Boltzmann method-molecular dynamics-immersed boundary method model is presented for simulating the foaming process of polymer composites. The LBM model resolves the foaming process, and the MD model accounts for filler dynamics. These two solvers are coupled by a direct forcing IBM. This solver can simulate composite foaming processes involving many bubbles and filler particles, including rigid and deformable 3D particles, and rigid, deformable, and fragile fibers. The solver relaxes most simplifying assumptions of earlier polymer composite models, allowing for a better understanding of filler motion and interaction with growing bubbles.
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Freely available at https://github.com/mehdiataei/mesh2lammps.
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Acknowledgements
We thank the Natural Sciences and Engineering Research Council of Canada (NSERC) and Autodesk Inc. for their financial support. Computations were performed on the Niagara supercomputer at the SciNet HPC Consortium. SciNet is funded by: the Canada Foundation for Innovation; the Government of Ontario; Ontario Research Fund - Research Excellence; and the University of Toronto.
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Appendix A: Conversion between dimensionless physical and lattice parameters
Appendix A: Conversion between dimensionless physical and lattice parameters
Dimensionless numbers are indicated with “*” superscript. Given a length scale \(\delta x\), a timescale \(\delta t\), a mass scale \(\delta m\), and a substance scale \(\delta n\), the following dimensionless numbers can be defined to convert lattice parameters to physical parameters, and vice versa.
where the dimensionless lattice parameters \(\tau ^*\) and \(\tau ^*_g\) are:
Note that because of the relationship between pressure, density, and the speed of sound (\(p = \rho c_s^2\)), for a given pressure and density \(\delta t\) and \(\delta x\) cannot be changed independently. Refer to “Koerner, et al. Springer Science & Business Media, 2008” for more details.
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Ataei, M., Pirmorad, E., Costa, F. et al. A hybrid lattice Boltzmann-molecular dynamics-immersed boundary method model for the simulation of composite foams. Comput Mech 69, 1177–1190 (2022). https://doi.org/10.1007/s00466-021-02136-9
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DOI: https://doi.org/10.1007/s00466-021-02136-9