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Predicting Rebound of Ellipsoidal Granules Using SPH

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Proceedings of the 8th International Conference on Fracture, Fatigue and Wear (FFW 2020 2020)

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Abstract

The accuracy of SPH in predicting rebound kinematics in granular flow applications involving non-spherical granules is investigated. For this, the rebound behavior of an ellipsoidal granule impacting an elastic substrate is analyzed for different impact angles and for different initial orientations of the granule. The friction modeling capabilities of SPH are investigated by comparing the rebound spin predicted by the SPH simulations (a) without any special friction model and (b) using Coulomb’s friction model, with DEM results. This study presents the potential of using SPH in analysing granular flow applications and brings to light the limitations associated with the existing friction modeling capabilities in SPH.

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Author information

Authors and Affiliations

  1. IITB-Monash Research Academy, Indian Institute of Technology Bombay, Mumbai, 400076, India

    Dhairya R. Vyas

  2. CSIRO Data61, Private Bag 10, Clayton, VIC, 3168, Australia

    Sharen J. Cummins, Gary W. Delaney & Paul W. Cleary

  3. Department of Mechanical and Aerospace Engineering, Monash University, Vic, 3800, Australia

    Murray Rudman

  4. Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India

    Devang V. Khakhar

Authors
  1. Dhairya R. Vyas
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  2. Sharen J. Cummins
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  3. Murray Rudman
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  4. Gary W. Delaney
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  5. Paul W. Cleary
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  6. Devang V. Khakhar
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Correspondence to Dhairya R. Vyas .

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Editors and Affiliations

  1. Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium

    Magd Abdel Wahab

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Vyas, D.R., Cummins, S.J., Rudman, M., Delaney, G.W., Cleary, P.W., Khakhar, D.V. (2021). Predicting Rebound of Ellipsoidal Granules Using SPH. In: Abdel Wahab, M. (eds) Proceedings of the 8th International Conference on Fracture, Fatigue and Wear . FFW 2020 2020. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-9893-7_50

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  • DOI: https://doi.org/10.1007/978-981-15-9893-7_50

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  • Online ISBN: 978-981-15-9893-7

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