Soft composite hinge actuator and application to compliant robotic gripper

执行机构 铰链 弯曲 复合数 曲率 软机器人 形状记忆合金* 形状记忆合金 结构工程 材料科学 机械工程 计算机科学 控制工程 工程类 复合材料 人工智能
作者
Wei Wang,Hugo Rodrigue,Hyung-Il Kim,Min‐Woo Han,Sung‐Hoon Ahn
出处
期刊:Composites Part B-engineering [Elsevier]
卷期号:98: 397-405 被引量:82
标识
DOI:10.1016/j.compositesb.2016.05.030
摘要

This work introduces the design of a smart soft composite (SSC) hinge actuator capable of a pure bending motion concentrated on specific sections of the actuator. This actuator makes use of a shape memory alloy (SMA) wire in a polydimethylsiloxane (PDMS) matrix embedded with segmented rigid components. The bending deformation was accomplished by actuating the SMA wire embedded along the length of the matrix eccentrically from neutral surface. This study introduces the design and manufacturing method of the actuator and experimental results for the maximum bending curvature for different configurations of the actuator. A model was presented to calculate the maximum bending curvature and validated against the experimental data. Results show that a smaller flexible length ratio is better for obtaining a larger maximum bending curvature, and that for an actuator containing multiple hinges, the total length of the hinges is more important than the number of hinges in the actuator. Finally, a gripper consisting of three fingers was developed where each finger consists of a hinge actuator with two hinges. The fingers of the gripper have a working length of 90 mm and the gripper was evaluated by grabbing cylindrical objects with diameters ranging between 1 mm and 80 mm. Results show that the gripper has a good passively adaptive capability for grasping a large range of objects with different sizes by virtue of the properties of the hinge actuator. Afterwards, the pulling force through different grasps was tested and it was shown that the gripper is capable from transitioning directly from a power grasping to a fingertip grasp and that power grasping is better than the fingertip grasp.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
善学以致用应助zxz采纳,获得10
刚刚
whatever应助luoshi采纳,获得10
1秒前
1秒前
科研通AI5应助徐徐采纳,获得10
2秒前
shouyu29应助MADKAI采纳,获得10
2秒前
shouyu29应助MADKAI采纳,获得10
2秒前
Lucas应助MADKAI采纳,获得10
2秒前
Vii应助MADKAI采纳,获得10
2秒前
李爱国应助MADKAI采纳,获得10
2秒前
李健应助MADKAI采纳,获得10
2秒前
烟花应助MADKAI采纳,获得20
2秒前
香蕉觅云应助MADKAI采纳,获得10
2秒前
科研通AI2S应助MADKAI采纳,获得10
2秒前
Singularity应助MADKAI采纳,获得10
2秒前
3秒前
3秒前
赘婿应助GGZ采纳,获得10
3秒前
阿盛完成签到,获得积分10
3秒前
3秒前
怕孤单的含羞草完成签到 ,获得积分10
4秒前
Muuu发布了新的文献求助10
4秒前
仁爱的乐枫完成签到,获得积分10
5秒前
5秒前
金润完成签到,获得积分10
6秒前
ZZ完成签到,获得积分10
6秒前
AteeqBaloch发布了新的文献求助10
7秒前
PaulLao完成签到,获得积分10
7秒前
7秒前
fleee发布了新的文献求助10
7秒前
7秒前
8秒前
Luyao发布了新的文献求助10
8秒前
海派Hi完成签到 ,获得积分10
8秒前
依依完成签到 ,获得积分10
9秒前
李健的小迷弟应助库外采纳,获得10
9秒前
yi完成签到 ,获得积分10
9秒前
kbj发布了新的文献求助10
9秒前
11秒前
佳言2009完成签到,获得积分10
12秒前
汉堡包应助漂亮的初蓝采纳,获得10
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527723
求助须知:如何正确求助?哪些是违规求助? 3107826
关于积分的说明 9286663
捐赠科研通 2805577
什么是DOI,文献DOI怎么找? 1539998
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709762