Smith Lawrence, MacCurdy Robert
MACLab, Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA.
3D Print Addit Manuf. 2024 Jun 18;11(3):e1209-e1212. doi: 10.1089/3dp.2023.0010. eCollection 2024 Jun.
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.
人机协同设计。然而,适用于预测软物质行为的材料模型有限,分析人员通常要对他们使用的每种新材料进行自己的力学表征。在这项工作中,我们展示了14种适用于制造软机器人的3D可打印软材料的详细力学表征。为了便于其他研究人员扩展这项工作,我们的测试程序、原始数据、本构模型系数以及用于曲线拟合的代码可在www.SoRoForge.com上免费获取。