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A Polynomial Particle-In-Cell Method

delete2017-11-20
delete72
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OA
AI
Q
Qi Guo
C
Chenfanfu Jiang
J
Joseph Teran
DOI:10.1145/3130800.3130878delete
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Abstract

Abstract

En 中文
Recently the Affine Particle-In-Cell (APIC) Method was proposed by Jiang et al.[2015; 2017b] to improve the accuracy of the transfers in Particle-In-Cell (PIC) [Harlow 1964] techniques by augmenting each particle with a locally affine, rather than locally constant description of the velocity. This reduced the dissipation of the original PIC without suffering from the noise present in the historic alternative, Fluid-Implicit-Particle (FLIP) [Brackbill and Ruppel 1986]. We present a generalization of APIC by augmenting each particle with a more general local function. By viewing the grid-to-particle transfer as a linear and angular momentum conserving projection of the particle-wise local grid velocities onto a reduced basis, we greatly improve the energy and vorticity conservation over the original APIC. Furthermore, we show that the cost of the generalized projection is negligible over APIC when using a particular class of local polynomial functions. Lastly, we note that our method retains the filtering property of APIC and PIC and thus has similar robustness to noise.
Keywords:
APIC
PIC
FLIP
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ACM Transactions on Graphics cover
ACM Transactions on Graphics
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university of california los angeles
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University of California System
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