Application (pre-grant publication)
Simulation-Based Material Characterization
- Number
- 20210232735
- Published
- 2021-07-29
- Filed
- 2020-01-29
- Assignee
- Disney Enterprises, Inc.
- Inventors
- Bächer; Moritz Niklaus, Venturini; Gabriela Natalia, Schumacher; Christian Gabriel, Marinaro; Cynthia A., Ayala; Alfredo, Knoop; Lars Espen, Jackson; Philip J.
- CPC
- G06F30/23
- Verdict
- High Notable software
- Source
- Google Patents · FreePatentsOnline
The keeper's note
Simulation-based material characterization (Bächer, Disney Research robotics/simulation).
Abstract
A system for performing simulation-based material characterization includes a computing platform having a hardware processor and a system memory storing a software code. The hardware processor executes the software code to obtain a result of a physical test performed on a material, selects a parameterized model of the material based on the obtained result, and performs a simulation of the physical test using the parameterized model to generate a simulated result. The hardware processor further executes the software code to compare the simulated result with the obtained result of the physical test on the material, and adjusts one or more parameter value(s) of the parameterized model, based on the comparison, to improve the simulated result, and predict, after adjusting the parameter value(s), one or more characteristics of the material based on the parameterized model.
Background
BACKGROUND
The accurate, stable, and robust simulation of or materials typically used in soft robotics relies crucially on the accuracy of the parameters used in the simulation. For skin simulations, for example, hyperelastic material models are often used due to their ability to approximate the behavior of elastomeric materials, such as silicone and urethane, for instance.
Traditionally, characterization of elastomers is done by testing the uniaxial and biaxial, and sometimes triaxial (i.e., volumetric) behavior of the material. Material parameters are then fitted to the resulting data using analytical models that assume a particular deformation mode in the sample. However, multiple tests are typically required for good fits, making such traditional solutions time consuming because biaxial, and particularly triaxial setups are relatively complex and costly. Moreover, because the stiffness of a material depends on the resolution and order of finite elements that are used for the simulation, reliance on analytical material models for parameter estimation can lead to inaccurate predictions of material characteristics, such as elasticity, or, more generally, the deformation of an object and the corresponding stresses and strains under a specified load. Consequently, there is a need in the art for a material simulation solution that is fast, cost effective, and accurately describes one or more characteristics of the material being simulated. SUMMARY
There are