An Induce-on-Boundary Magnetostatic Solver for Grid-Based Ferrofluids

Abstract
This paper introduces a novel Induce-on-Boundary (IoB) solver designed to address the magnetostatic governing equations of ferrofluids. The IoB solver is based on a single-layer potential and utilizes only the surface point cloud of the object, offering a lightweight, fast, and accurate solution for calculating magnetic fields. Compared to existing methods, it eliminates the need for complex linear system solvers and maintains minimal computational complexities. Moreover, it can be seamlessly integrated into conventional fluid simulators without compromising boundary conditions. Through extensive theoretical analysis and experiments, we validate both the convergence and scalability of the IoB solver, achieving state-of-the-art performance. Additionally, a straightforward coupling approach is proposed and executed to showcase the solver’s effectiveness when integrated into a grid-based fluid simulation pipeline, allowing for realistic simulations of representative ferrofluid instabilities.
Authors
Xingyu Ni, Ruicheng Wang, Bin Wang, Baoquan Chen
Publication Year
2024
http://eng.bigai.ai/wp-content/uploads/sites/7/2024/07/An-Induce-on-Boundary-Magnetostatic-Solver-for-Grid-Based-Ferrofluids.pdf
Publication Venue
ACM TRANSACTIONS ON GRAPHICS(SIGGRAPH 2024)
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