Mechanical Characterization and Constitutive Modeling of 3D Printable Soft Materials
Source abstract
Abstract
Numerical modeling of soft matter has the potential to enable exploration of the soft robotic field's next frontier: human/machine cooperative design. However, access to material models suitable for predicting the behavior of soft matter is limited, and analysts typically conduct their own mechanical characterization on every new material they work with. In this work we present detailed mechanical characterization of 14 3D-printable soft materials suitable for fabricating soft robots. To allow the extension of this work by other researchers, our test procedures, raw data, constitutive model coefficients, and code used for curve fitting is freely available at www.SoRoForge.com .
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Soft Robotics and Applications · Micro and Nano Robotics · Modular Robots and Swarm Intelligence
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
MACLab, Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA.
References (10)
Show source-provided references
1. 10.1002/adma.20160497710.1002/adma.201604977 ↗
2. Bortoli Dd, , Gheller J, , Wrubleski E, , Marczak R. Hyperfit—Curve fitting software for incompressible hyperelastic material models. 21st Brazillian Cong Mech Eng, 2011;(October):1–10.
3. 10.1089/soro.2019.011510.1089/soro.2019.0115 ↗
4. Azmi NN, , Ab Patar MNA, , Mohd Noor SNA, at al. Testing standards assessment for silicone rubber. ISTMET 2014-1st Intl Symp on Technol, Proc, 2014;(Istmet 2014):332–336.
5. 10.3390/cryst1208105510.3390/cryst12081055 ↗
6. 10.3390/ma1407179110.3390/ma14071791 ↗
7. 10.1109/LRA.2020.298676010.1109/LRA.2020.2986760 ↗
8. Gooch JW. ASTM D412-15 Standard Test Methods for Vulcanized Rubber and Thermoplastic Elastomers. New York NY: Springer New York; 2011.
9. Xavier M, , Fleming A, , Yong Y. Finite element modeling of soft fluidic actuators: Overview and recent developments. Adv Intell Syst, 2020; 2000187:2000187.
10. 10.1115/1.400569410.1115/1.4005694 ↗