research-article

Measurement-based Hyper-elastic Material Identification and Real-time FEM Simulation for Haptic Rendering

Authors:

Arsen Abdulali,

Ibragim Atadjanov,

Seokhee JeonAuthors Info & Claims

VRST '19: Proceedings of the 25th ACM Symposium on Virtual Reality Software and Technology

Article No.: 15, Pages 1 - 10

https://doi.org/10.1145/3359996.3364275

Published: 12 November 2019 Publication History

Abstract

In this paper, we propose a measurement-based modeling framework for hyper-elastic material identification and real-time haptic rendering. We build a custom data collection setup that captures shape deformation and response forces during compressive deformation of cylindrical material samples. We collected training and testing sets of data from four silicone objects having various material profiles. We design an objective function for material parameter identification by incorporating both shape deformation and reactive forces and utilize a genetic algorithm. We adopted an optimization-based Finite Element Method (FEM) for object deformation rendering. The numerical error of simulated forces was found to be perceptually negligible.

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Cited By

Nguyen MKim H(2023)A method for improving the accuracy of PODI-RBF solutions for the indentation of an elastic body by a rigid indenterFinite Elements in Analysis and Design10.1016/j.finel.2022.103906216:COnline publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1016/j.finel.2022.103906
Cha HBhardwaj AChoi S(2022)Data-Driven Haptic Modeling and Rendering of Viscoelastic Behavior Using Fractional DerivativesIEEE Access10.1109/ACCESS.2022.323006510(130894-130907)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3230065
Abdulali AJeon S(2022)Haptic Software DesignEngineering Haptic Devices10.1007/978-3-031-04536-3_12(537-585)Online publication date: 6-Nov-2022
https://doi.org/10.1007/978-3-031-04536-3_12
Show More Cited By

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cover image ACM Conferences

VRST '19: Proceedings of the 25th ACM Symposium on Virtual Reality Software and Technology

November 2019

498 pages

ISBN:9781450370011

DOI:10.1145/3359996

Editors:
Tomas Trescak
Western Sydney University
,
Simeon Simoff
Western Sydney University
,
Deborah Richards
Macquarie University
,
Anton Bogdanovych
Western Sydney University
,
Thierry Duval
IMT Atlantique
,
Torsten Kuhlen
RWTH Aachen University
,
Huyen Nguyen
University of New South Wales
,
Shigeo Morishima
University of Waseda
,
Yuichi Itoh
University of Osaka
,
Richard Skarbez
La Trobe
,
Anton Bogdanovych
Western Sydney University
,
Martin Masek
Edith Cowan University

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 12 November 2019

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VRST '19

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VRST '19: 25th ACM Symposium on Virtual Reality Software and Technology

November 12 - 15, 2019

NSW, Parramatta, Australia

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Overall Acceptance Rate 66 of 254 submissions, 26%

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Cited By

Nguyen MKim H(2023)A method for improving the accuracy of PODI-RBF solutions for the indentation of an elastic body by a rigid indenterFinite Elements in Analysis and Design10.1016/j.finel.2022.103906216:COnline publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1016/j.finel.2022.103906
Cha HBhardwaj AChoi S(2022)Data-Driven Haptic Modeling and Rendering of Viscoelastic Behavior Using Fractional DerivativesIEEE Access10.1109/ACCESS.2022.323006510(130894-130907)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3230065
Abdulali AJeon S(2022)Haptic Software DesignEngineering Haptic Devices10.1007/978-3-031-04536-3_12(537-585)Online publication date: 6-Nov-2022
https://doi.org/10.1007/978-3-031-04536-3_12
Wang YRunting ZWu HXue G(2021)Material Identification System with Sound Simulation Assisted Method in VR/AR ScenariosAdjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460418.3480162(575-579)Online publication date: 21-Sep-2021
https://dl.acm.org/doi/10.1145/3460418.3480162
Abdulali AJeon S(2021)Data-driven Haptic Modeling of Plastic Flow via Inverse Reinforcement Learning2021 IEEE World Haptics Conference (WHC)10.1109/WHC49131.2021.9517181(115-120)Online publication date: 6-Jul-2021
https://doi.org/10.1109/WHC49131.2021.9517181
Abdulali AAtadjanov ILee SJeon S(2020)Realistic haptic rendering of hyper-elastic material via measurement-based FEM model identification and real-time simulationComputers & Graphics10.1016/j.cag.2020.04.00489(38-49)Online publication date: Jun-2020
https://doi.org/10.1016/j.cag.2020.04.004

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