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通过织物复合改善用于软机器人技术的模制硅橡胶的机械性能。

Improving Mechanical Properties of Molded Silicone Rubber for Soft Robotics Through Fabric Compositing.

作者信息

Wang Yue, Gregory Cherry, Minor Mark A

机构信息

Department of Mechanical Engineering, University of Utah , Salt Lake City, Utah.

出版信息

Soft Robot. 2018 Jun;5(3):272-290. doi: 10.1089/soro.2017.0035. Epub 2018 Mar 19.

Abstract

Molded silicone rubbers are common in manufacturing of soft robotic parts, but they are often prone to tears, punctures, and tensile failures when strained. In this article, we present a fabric compositing method for improving the mechanical properties of soft robotic parts by creating a fabric/rubber composite that increases the strength and durability of the molded rubber. Comprehensive ASTM material tests evaluating the strength, tear resistance, and puncture resistance are conducted on multiple composites embedded with different fabrics, including polyester, nylon, silk, cotton, rayon, and several blended fabrics. Results show that strong fabrics increase the strength and durability of the composite, valuable in pneumatic soft robotic applications, while elastic fabrics maintain elasticity and enhance tear strength, suitable for robotic skins or soft strain sensors. Two case studies then validate the proposed benefits of the fabric compositing for soft robotic pressure vessel applications and soft strain sensor applications. Evaluations of the fabric/rubber composite samples and devices indicate that such methods are effective for improving mechanical properties of soft robotic parts, resulting in parts that can have customized stiffness, strength, and vastly improved durability.

摘要

模制硅橡胶在软机器人部件制造中很常见,但在受力时往往容易出现撕裂、穿刺和拉伸失效。在本文中,我们提出了一种织物复合方法,通过创建一种织物/橡胶复合材料来提高软机器人部件的机械性能,这种复合材料可增强模制橡胶的强度和耐用性。我们对多种嵌入不同织物(包括聚酯、尼龙、丝绸、棉、人造丝和几种混纺织物)的复合材料进行了全面的ASTM材料测试,评估其强度、抗撕裂性和抗穿刺性。结果表明,高强度织物可提高复合材料的强度和耐用性,这在气动软机器人应用中很有价值;而弹性织物则能保持弹性并提高撕裂强度,适用于机器人皮肤或软应变传感器。随后的两个案例研究验证了织物复合在软机器人压力容器应用和软应变传感器应用中的优势。对织物/橡胶复合材料样品和装置的评估表明,这种方法对于改善软机器人部件的机械性能是有效的,能够制造出具有定制刚度、强度和大幅提高耐用性的部件。

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