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A hybrid method for powdered materials modeling

  • Yang Gao
  • , Yinghao Xu
  • , Shuai Li
  • , Aimin Hao
  • , Hong Qin
  • Research Institute of Frontier Science
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Powdered materials, such as sand and flour, are quite common in nature, whose properties always range from granular particles to smog materials under the air friction while throwing. This paper presents a hybrid method that tightly couples APIC solver with density field to accomplish the transformation of continuous powdered materials varying among granular particles, smog, powders and their natural mixtures. In our method, a part of the granular particles will be transformed to dust smog while interacting with air and represented by density field, then, as velocity decreases the density-based dust will deposit to powder particles. We construct a unified framework to imitate the mutual transformation process for the powdered materials of different scales, which greatly enhance the details of particle-based materials modeling.We have conducted extensive experiments to verify the performance of our model, and get satisfactory results in terms of stability, efficiency and visual authenticity as expected.

Original languageEnglish
Title of host publicationProceedings - VRST 2019
Subtitle of host publication25th ACM Symposium on Virtual Reality Software and Technology
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450370011
DOIs
StatePublished - Nov 12 2019
Event25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019 - Sydney, Australia
Duration: Nov 12 2019Nov 15 2019

Publication series

NameProceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST

Conference

Conference25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019
Country/TerritoryAustralia
CitySydney
Period11/12/1911/15/19

Keywords

  • APIC
  • Density Field based Smog
  • Granular Material
  • Two-Way Transformation

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