Fluids, From Air to Goo

Technical Papers

Fluids, From Air to Goo

Wednesday, 12 August 2:00 PM - 3:30 PM | Los Angeles Convention Center, Room 153A-C Session Chair: Chris Wojtan, Institute of Science and Technology Austria

OmniAD: Data-Driven Omni-Directional Aerodynamics

Introducing OmniAD, a novel data-driven pipeline to model and acquire the aerodynamics of three-dimensional rigid objects simply by capturing their falling motion using a single camera. OmniAD enables realistic real-time simulation of rigid bodies and interactively designed three-dimensional kites that actually fly.

Tobias Martin
ETH Zürich

Nobuyuki Umetani
Disney Research Zürich

Bernd Bickel
Institute of Science and Technology Austria

Robust Simulation of Sparse-Sampling Thin Features in SPH-Based Free Surface Flows

This paper proposes a new formula for calculation of surface forces in SPH-based single-phase flows and develops correction algorithms to avoid the tensile numerical-stability issue. This allows the system to effectively preserve thin features in small-scale liquid animations using standard single-phase SPH approaches.

Xiaowei He
Institute of Software, Chinese Academy of Sciences

Huamin Wang
The Ohio State University

Fengjun Zhang
Institute of Software, Chinese Academy of Sciences

Houngan Wang
Institute of Software, Chinese Academy of Sciences

Guoping Wang
Peking University

Kun Zhou
Zhejiang University

An Implicit Viscosity Formulation for SPH Fluids

In this novel viscosity formulation for SPH fluids, the velocity field is reconstructed from a target gradient that encodes the desired viscosity and preserves the divergence. The formulation can easily be incorporated into complex scenarios with two-way coupled solids and multiple fluid phases with different densities and viscosities.

Andreas Peer
Universität Freiburg

Markus Ihmsen
Universität Freiburg

Jens Cornelis
Universität Freiburg

Matthias Teschner
Universität Freiburg

Codimensional Non-Newtonian Fluids

A new method to simulate non-Newtonian fluids with rich codimensional features on simplicial complexes, such as paint, mayonnaise, toothpaste, and cheese.

Bo Zhu
Stanford University

Minjae Lee
Stanford Univeristy

Ed Quigley
Stanford University

Ronald Fedkiw
Stanford University, Industrial Light & Magic