GAMES Webinar 2020 – 161期(仿真模拟专题) | Huang Libo(KAUST), Xingyu Ni (Peking University)
【GAMES Webinar 2020-161期】(仿真模拟专题)
报告题目：Macroscopic Lagrangian Simulation of Ferrofluids
Ferrofluids are magnetic fluids that forms interesting spiky geometry near magnets. Their magnetic nature impose challenges on the simulation methods. The two most important challenges are to first model the influence of ferrofluid to its surrounding magnetic field and second the influence of magnetic forces to fluid motion. To tackle these two challenges we propose two Lagrangian simulation methods for ferrofluids. The first method discretize the magnetic substance as clusters of particles carrying radial basis functions and magnetic forces between these particles. This is a mesh-free method suitable for particle-based fluid simulation methods such as smooth-particle-hydrodynamics (SPH). Such particle method does not need explicit handling of the fluid surface/boundary. The second method is on the other end. We only discretize the fluid surface as triangles and vertices. We employ the surface-only liquids simulation for the fluid part, and employ the boundary element method for the magnetic part. The magnetic forces are added as gradient of magnetic energy defined on the fluid surface. The second approach solves much less unknowns in the equations, and uses a more accurate surface tension model than the radial basis function approach.
Huang Libo is currently a fourth-year Ph.D. student at KAUST Visual Computing Center under the supervision of Prof. Dr. Dominik L. Michels. He studied at Peking University from 2011 to 2015, from where he received B.Sc. in geophysics, and KAUST, where he received M.Sc. in Earth Science and Engineering in 2016. His research interests are high performance simulations of natural phenomena in visual computing.
报告嘉宾2：Xingyu Ni (Peking University)
报告题目：A Level-Set Method for Magnetic Substance Simulation
A versatile numerical approach to simulating various magnetic phenomena using a level-set method will be presented. At the heart of this method lies a novel two-way coupling mechanism between a magnetic field and a magnetizable mechanical system, which is based on the interfacial Helmholtz force drawn from the Minkowski form of the Maxwell stress tensor. It will be shown that a magnetic-mechanical coupling system can be solved as an interfacial problem, both theoretically and computationally. In particular, a Poisson equation with a jump condition across the interface is employed to model the mechanical-to-magnetic interaction and a Helmholtz force on the free surface to model the magnetic-to-mechanical effects. Such a computational framework can be easily integrated into a standard Euler fluid solver, enabling both simulation and visualization of a complex magnetic field and its interaction with immersed magnetizable objects in a large domain.
Xingyu Ni is currently a PhD student at Center on Frontiers of Computing Studies (CFCS) in Peking University, advised by Prof. Baoquan Chen, and an intern at Advanced Innovation Center for Future Visual Entertainment (AICFVE) in Beijing Film Academy, advised by Dr. Bin Wang. He graduated from Turing Class, Peking University in July 2020 and earned dual bachelor’s degrees in computer science and physics.
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