Predicting rebound of ellipsoidal granules using SPH

Dhairya R. Vyas; Sharen J. Cummins; Murray Rudman; Gary W. Delaney; Paul W. Cleary; Devang V. Khakhar

doi:10.1007/978-981-15-9893-7_50

Predicting rebound of ellipsoidal granules using SPH

Dhairya R. Vyas, Sharen J. Cummins, Murray Rudman, Gary W. Delaney, Paul W. Cleary, Devang V. Khakhar

Mechanical & Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 8th International Conference on Fracture, Fatigue and Wear - FFW 2020
Editors	Magd Abdel Wahab
Publisher	Springer
Pages	673-691
Number of pages	19
ISBN (Print)	9789811598920
DOIs	https://doi.org/10.1007/978-981-15-9893-7_50
Publication status	Published - 2021
Event	International Conference on Fracture Fatigue and Wear 2020 - Virtual, Belgium Duration: 26 Aug 2020 → 27 Aug 2020 Conference number: 8th http://www.ffwconf.org/2020/ (Website)

Publication series

Name	Lecture Notes in Mechanical Engineering
ISSN (Print)	2195-4356
ISSN (Electronic)	2195-4364

Conference

Conference	International Conference on Fracture Fatigue and Wear 2020
Abbreviated title	FFW 2020
Country/Territory	Belgium
City	Virtual
Period	26/08/20 → 27/08/20
Internet address	http://www.ffwconf.org/2020/ (Website)

Keywords

DEM
Ellipsoids
Friction
Granular flow
SPH

Access to Document

10.1007/978-981-15-9893-7_50

Cite this

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 M. Abdel Wahab (Ed.), Proceedings of the 8th International Conference on Fracture, Fatigue and Wear - FFW 2020 (pp. 673-691). (Lecture Notes in Mechanical Engineering). Springer. https://doi.org/10.1007/978-981-15-9893-7_50

@inproceedings{881d0cfd1b3843fcb8b89942c34f4558,

title = "Predicting rebound of ellipsoidal granules using SPH",

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{\textquoteright}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.",

keywords = "DEM, Ellipsoids, Friction, Granular flow, SPH",

author = "Vyas, {Dhairya R.} and Cummins, {Sharen J.} and Murray Rudman and Delaney, {Gary W.} and Cleary, {Paul W.} and Khakhar, {Devang V.}",

year = "2021",

doi = "10.1007/978-981-15-9893-7_50",

language = "English",

isbn = "9789811598920",

series = "Lecture Notes in Mechanical Engineering",

publisher = "Springer",

pages = "673--691",

editor = "{Abdel Wahab}, Magd",

booktitle = "Proceedings of the 8th International Conference on Fracture, Fatigue and Wear - FFW 2020",

note = "International Conference on Fracture Fatigue and Wear 2020, FFW 2020 ; Conference date: 26-08-2020 Through 27-08-2020",

url = "http://www.ffwconf.org/2020/",

}

Vyas, DR, Cummins, SJ, Rudman, M, Delaney, GW, Cleary, PW & Khakhar, DV 2021, Predicting rebound of ellipsoidal granules using SPH. in M Abdel Wahab (ed.), Proceedings of the 8th International Conference on Fracture, Fatigue and Wear - FFW 2020. Lecture Notes in Mechanical Engineering, Springer, pp. 673-691, International Conference on Fracture Fatigue and Wear 2020, Virtual, Belgium, 26/08/20. https://doi.org/10.1007/978-981-15-9893-7_50

Predicting rebound of ellipsoidal granules using SPH. / Vyas, Dhairya R.; Cummins, Sharen J.; Rudman, Murray et al.
Proceedings of the 8th International Conference on Fracture, Fatigue and Wear - FFW 2020. ed. / Magd Abdel Wahab. Springer, 2021. p. 673-691 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - Predicting rebound of ellipsoidal granules using SPH

AU - Vyas, Dhairya R.

AU - Cummins, Sharen J.

AU - Rudman, Murray

AU - Delaney, Gary W.

AU - Cleary, Paul W.

AU - Khakhar, Devang V.

N1 - Conference code: 8th

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - DEM

KW - Ellipsoids

KW - Friction

KW - Granular flow

KW - SPH

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DO - 10.1007/978-981-15-9893-7_50

M3 - Conference Paper

AN - SCOPUS:85101410962

SN - 9789811598920

T3 - Lecture Notes in Mechanical Engineering

SP - 673

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BT - Proceedings of the 8th International Conference on Fracture, Fatigue and Wear - FFW 2020

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PB - Springer

T2 - International Conference on Fracture Fatigue and Wear 2020

Y2 - 26 August 2020 through 27 August 2020

ER -

Predicting rebound of ellipsoidal granules using SPH

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Keywords

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