Stiffness variations in granular jamming robots; an experimental method

Seyed Mohammad Zeyb Sayyadan, M. Moniri, F. Gharib
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引用次数: 3

Abstract

One of the most challenging issues of granular jamming robots is both predicting and measuring the stiffness variations which are a direct function of elastic module. In this regard, in previous researches, it had demonstrated that the elastic module of robot's bulk is a fundamental function of vacuum pressure and must be acquired by experimental tests. However, there was not a unique formulation for both computing and predicting the accurate elastic module in each unique amount of vacuum pressure. Therefore, in this paper, for addressing the problem, the elastic module of jammable segments is calculated in each considered vacuum pressure and we have introduced a both simple and beneficial formulation to predict the amounts of stiffness based on variations of vacuum pressure. The proposed procedure was examined by performing an experimental test as well. On the other hand, the necessity of identifying organic material was felt due to introduction of just one organic granular material in previous researches for applying. Hence, four new organic granular materials were selected and also tested. Consequently, a usable blend of two of them was presented which was mixed of black Pepper seeds and Datura grains. This blend had a lightweight construction with high ratio of strength under external forces, therefore, it can be applied when a both high-strength and lightweight jammable structure in robotics is required.
颗粒堵塞机器人的刚度变化实验方法
颗粒阻塞机器人最具挑战性的问题之一是预测和测量弹性模块的刚度变化。对此,在以往的研究中,已经证明了机器人体的弹性模量是真空压力的基本函数,必须通过实验测试获得。然而,没有一个唯一的公式来计算和预测准确的弹性模量在每一个独特的真空压力。因此,在本文中,为了解决这个问题,我们计算了每个考虑真空压力的可堵塞段的弹性模量,并引入了一个既简单又有益的公式来预测基于真空压力变化的刚度量。提出的程序进行了检验,并进行了实验测试。另一方面,由于以往的研究只介绍了一种有机颗粒材料进行应用,因此有必要进行有机物质的鉴定。因此,选择了四种新的有机颗粒材料并进行了测试。因此,提出了一种可用的两种混合物,即黑胡椒种子和曼陀罗谷物的混合物。该混合材料具有轻量化结构,在外力作用下具有较高的强度比,因此可以应用于机器人技术中同时需要高强度和轻量化的可阻塞结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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