Biomimetic Artificial Joints Based on Multi-Material Pneumatic Actuators Developed for Soft Robotic Finger Application

执行机构 软机器人 气动人工肌肉 气动执行机构 人工肌肉 机械工程 仿生学 弯曲 工程类 刚度 波纹管 材料科学 计算机科学 结构工程 人工智能
作者
Shumi Zhao,Yisong Lei,Ziwen Wang,Jie Zhang,Jianxun Liu,Pengfei Zheng,Zidan Gong,Yu Sun
出处
期刊:Micromachines [Multidisciplinary Digital Publishing Institute]
卷期号:12 (12): 1593-1593 被引量:5
标识
DOI:10.3390/mi12121593
摘要

To precisely achieve a series of daily finger bending motions, a soft robotic finger corresponding to the anatomical range of each joint was designed in this study with multi-material pneumatic actuators. The actuator as a biomimetic artificial joint was developed on the basis of two composite materials of different shear modules, and the pneumatic bellows as expansion parts was restricted by frame that made from polydimethylsiloxane (PDMS). A simplified mathematical model was used for the bending mechanism description and provides guidance for the multi-material pneumatic actuator fabrication (e.g., stiffness and thickness) and structural design (e.g., cross length and chamber radius), as well as the control parameter optimization (e.g., the air pressure supply). An actuation pressure of over 70 kPa is required by the developed soft robotic finger to provide a full motion range (MCP = 36°, PIP = 114°, and DIP = 75°) for finger action mimicking. In conclusion, a multi-material pneumatic actuator was designed and developed for soft robotic finger application and theoretically and experimentally demonstrated its feasibility in finger action mimicking. This study explored the mechanical properties of the actuator and could provide evidence-based technical parameters for pneumatic robotic finger design and precise control of its dynamic air pressure dosages in mimicking actions. Thereby, the conclusion was supported by the results theoretically and experimentally, which also aligns with our aim to design and develop a multi-material pneumatic actuator as a biomimetic artificial joint for soft robotic finger application.
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
1秒前
1秒前
zakarya发布了新的文献求助10
1秒前
bhfhq完成签到,获得积分10
1秒前
1秒前
chunjuan完成签到,获得积分10
2秒前
卓梨发布了新的文献求助10
2秒前
123发布了新的文献求助10
2秒前
CodeCraft应助小高采纳,获得10
2秒前
科研通AI5应助健壮的诗槐采纳,获得10
3秒前
3秒前
滴滴滴123发布了新的文献求助100
3秒前
3秒前
深情安青应助abib采纳,获得10
3秒前
支安白完成签到,获得积分10
3秒前
4秒前
研友_LJeoa8完成签到,获得积分10
4秒前
周周发布了新的文献求助10
4秒前
lh完成签到,获得积分10
5秒前
虚幻夜白发布了新的文献求助10
5秒前
完美世界应助卡卡采纳,获得10
6秒前
走地坤发布了新的文献求助10
6秒前
Cakeat发布了新的文献求助10
7秒前
2021完成签到 ,获得积分10
8秒前
一头蠢驴发布了新的文献求助10
8秒前
9秒前
Kai发布了新的文献求助10
9秒前
9秒前
小心超人完成签到,获得积分10
9秒前
丘比特应助Angie采纳,获得10
9秒前
阔达静珊发布了新的文献求助30
9秒前
9秒前
阳佟怀绿发布了新的文献求助10
10秒前
10秒前
思源应助王昭采纳,获得10
10秒前
11秒前
物外完成签到,获得积分10
11秒前
研友_VZG7GZ应助俏皮碧玉采纳,获得10
11秒前
Dian完成签到,获得积分10
12秒前
12秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Musculoskeletal Pain - Market Insight, Epidemiology And Market Forecast - 2034 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Munson, Young, and Okiishi’s Fundamentals of Fluid Mechanics 9 edition problem solution manual (metric) 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3748428
求助须知:如何正确求助?哪些是违规求助? 3291391
关于积分的说明 10072942
捐赠科研通 3007152
什么是DOI,文献DOI怎么找? 1651507
邀请新用户注册赠送积分活动 786406
科研通“疑难数据库(出版商)”最低求助积分说明 751719