A Hybrid Method for Powdered Materials Modeling

Yang Gao, Yinghao Xu, Shuai Li, A. Hao, Hong Qin
{"title":"A Hybrid Method for Powdered Materials Modeling","authors":"Yang Gao, Yinghao Xu, Shuai Li, A. Hao, Hong Qin","doi":"10.1145/3359996.3364266","DOIUrl":null,"url":null,"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.","PeriodicalId":393864,"journal":{"name":"Proceedings of the 25th ACM Symposium on Virtual Reality Software and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 25th ACM Symposium on Virtual Reality Software and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3359996.3364266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
粉末材料建模的混合方法
粉末状物质,如沙子和面粉,在自然界中是很常见的,在空气的摩擦下,它们的性质总是从颗粒颗粒到烟雾物质。本文提出了一种将APIC求解器与密度场紧密耦合的混合方法,以实现颗粒、烟雾、粉末及其天然混合物之间变化的连续粉末材料的转化。在我们的方法中,一部分颗粒颗粒在与空气相互作用时转化为粉尘烟雾,并以密度场表示,然后随着速度的降低,密度为基础的粉尘沉积为粉末颗粒。我们构建了一个统一的框架来模拟不同尺度的粉末材料的相互转化过程,大大增强了基于颗粒的材料建模的细节。我们进行了大量的实验来验证我们的模型的性能,并在稳定性、效率和视觉真实性方面取得了预期的满意结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
IRIS: Inter-Reality Interactive Surface A Content-Aware Approach for Analysing Eye Movement Patterns in Virtual Reality Evaluation of Navigation Operations in Immersive Microscopic Visualization Investigating the Detection of Bimanual Haptic Retargeting in Virtual Reality Mixed Reality Speaker Identification as an Accessibility Tool for Deaf and Hard of Hearing Users
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1