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引用次数: 0
摘要
软物质的数值建模有可能帮助探索软机器人领域的下一个前沿领域:人机协同设计。然而,适合预测软物质行为的材料模型非常有限,分析人员通常会对他们使用的每种新材料进行自己的机械表征。在这项工作中,我们介绍了适用于制造软机器人的 14 种可 3D 打印软材料的详细机械特性。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、构成模型系数以及用于曲线拟合的代码均可在 www.SoRoForge.com 免费获取。
Mechanical Characterization and Constitutive Modeling of 3D Printable Soft Materials.
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.
期刊介绍:
3D Printing and Additive Manufacturing is a peer-reviewed journal that provides a forum for world-class research in additive manufacturing and related technologies. The Journal explores emerging challenges and opportunities ranging from new developments of processes and materials, to new simulation and design tools, and informative applications and case studies. Novel applications in new areas, such as medicine, education, bio-printing, food printing, art and architecture, are also encouraged.
The Journal addresses the important questions surrounding this powerful and growing field, including issues in policy and law, intellectual property, data standards, safety and liability, environmental impact, social, economic, and humanitarian implications, and emerging business models at the industrial and consumer scales.