TY - GEN
T1 - A hybrid method for powdered materials modeling
AU - Gao, Yang
AU - Xu, Yinghao
AU - Li, Shuai
AU - Hao, Aimin
AU - Qin, Hong
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/11/12
Y1 - 2019/11/12
N2 - 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.
AB - 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.
KW - APIC
KW - Density Field based Smog
KW - Granular Material
KW - Two-Way Transformation
UR - https://www.scopus.com/pages/publications/85076140323
U2 - 10.1145/3359996.3364266
DO - 10.1145/3359996.3364266
M3 - 会议稿件
AN - SCOPUS:85076140323
T3 - Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST
BT - Proceedings - VRST 2019
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery
T2 - 25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019
Y2 - 12 November 2019 through 15 November 2019
ER -