Using The Polynomial Particle-In-Cell Method For Liquid-Fabric Interaction

TL;DR

This paper improves liquid-fabric interaction simulations by replacing the affine PIC model with the higher-order polynomial PIC model, reducing numerical damping and enhancing detail resolution at a higher computational cost.

Contribution

It introduces the use of PolyPIC instead of APIC in liquid-fabric interaction models, significantly reducing numerical dissipation and improving simulation detail.

Findings

Reduced numerical damping with PolyPIC

Enhanced vorticial detail resolution

Increased computational cost

Abstract

Liquid-fabric interaction simulations using particle-in-cell (PIC) based models have been used to simulate a wide variety of phenomena and yield impressive visual results. However, these models suffer from numerical damping due to the data interpolation between the particles and grid. Our paper addresses this by using the polynomial PIC (PolyPIC) model instead of the affine PIC (APIC) model that is used in current state-of-the-art wet cloth models. The affine transfers of the APIC model are replaced by the higher order polynomials of PolyPIC, thus reducing numerical dissipation and improving resolution of vorticial details. This improved energy preservation enables more dynamic simulations to be generated although this is at an increased computational cost.