形状记忆合金
形状记忆合金*
抓住
计算机科学
执行机构
对偶(语法数字)
有限元法
机械工程
工程类
人工智能
结构工程
算法
文学类
艺术
程序设计语言
作者
Xiaozheng Li,Shutian Liu,Liyong Tong,Renjing Gao
出处
期刊:Industrial Robot-an International Journal
[Emerald Publishing Limited]
日期:2022-12-01
卷期号:50 (2): 326-336
被引量:7
标识
DOI:10.1108/ir-04-2022-0114
摘要
Purpose The paper aims to propose a novel dual-stage shape memory alloy (SMA) actuated gripper (DAG), of which the grasp performance is improved through primary and secondary actuation. Design/methodology/approach This paper presents a method of integrating the design of dual-stage actuation modules based on the SMA bias actuation principle to enhance the grasping shape adaptability and force modulation of a DAG. The actuation angle range and grasping performance of the DAG are investigated by thermomechanical analysis and the finite element method based numerical simulation. Findings The results of present experiments and simulations indicate that the actuation angle scope of the DAG is about 20° under no load, which enables the grasping space occupied by an object in the DAG from 60 mm to 120 mm. The grasping force adjusted by changing the input power of the primary main actuation module and secondary fine-tuning actuation module can reach a maximum of 2 N, which is capable of grasping objects of various sizes, weights, shapes, etc. Originality/value The contribution of this paper is to design a DAG based on SMA, and establish the solution methods for the primary main actuation module and secondary fine-tuning actuation module, respectively. It lays a foundation for the research of lightweight and intelligent robotic grippers.
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