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Modeling of grasping force for a soft robotic gripper with variable stiffness

机译:变刚度软机械夹具抓握力的建模

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The purpose of this research is to present a grasping force model for a soft robotic gripper with variable stiffness. The soft robotic gripper was made of shape memory alloys (SMAs) with contraction and variable stiffness properties. A variable stiffness mechanism with embedded sets of SMA fibers was developed; however, the response characteristics of its backbone did not comply with the constant-curvature model when it was subjected to complex forces/torques, such as gravity, grasping forces and driving torques. In this case, the Cosserat theory was used to implement real-time computations of the grasping force of the soft robotic gripper that was subjected to complex forces. Finally, a series of tests were conducted on the grasping force of the soft finger and the gripper. The elicited results showed that the grasping force is related to the stiffness and to the object's offset and friction coefficient. Moreover, experimental results showed that the grasping force of the soft robotic gripper increased by 48.7% when the Young's modulus of the SMA-2 wires increased from 25 GPa to 48 GPa. (C) 2018 Elsevier Ltd. All rights reserved.
机译:该研究的目的是呈现具有可变刚度的软机器人夹具的抓握力模型。软机器人夹具由带有收缩和可变刚度特性的形状记忆合金(SMA)制成。开发了具有嵌入式SMA纤维套的可变刚度机制;然而,当它经受复杂的力/扭矩之类的复杂力/扭矩时,其骨干的响应特性并不符合恒定曲率模型,例如重力,抓握力和驱动扭矩。在这种情况下,Cosserat理论用于实施经受复杂力的软机器人夹具的抓握力的实时计算。最后,在软手指和夹具的抓握力上进行了一系列测试。引发的结果表明,抓握力与刚度和物体的偏移和摩擦系数有关。此外,实验结果表明,当SMA-2导线的杨氏模量从25GPa增加到48GPa时,软机械夹具的抓握力增加了48.7%。 (c)2018年elestvier有限公司保留所有权利。

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