Department of Mechanical and Aerospace Engineering, Jacobs School of Engineering and the Department of Surgery, School of Medicine, University of California San Diego, La Jolla, California, USA.
Soft Robot. 2021 Aug;8(4):365-370. doi: 10.1089/soro.2019.0123. Epub 2020 Jul 30.
Having accurate data to represent hyperelastic materials that underpin soft robotics would facilitate their analysis, design, and validation. We seek to provide the reader with a useful tool to overcome a mundane but crucially important problem in determining the hyperelastic material properties. We show how to employ first dimensionless and then dimensional comparisons between experimental data and the classic theoretical model representing this system to produce and for the Mooney-Rivlin model, closely representing a variety of soft polymers.
拥有准确的数据来表示支撑软机器人的超弹性材料将有助于它们的分析、设计和验证。我们旨在为读者提供一个有用的工具,以克服在确定超弹性材料性能方面一个平凡但至关重要的问题。我们展示了如何利用无因次和因次比较来比较实验数据和代表该系统的经典理论模型,从而为 Mooney-Rivlin 模型生成 和 ,该模型可以很好地代表各种软聚合物。