Imitation of human muscle by using an electromechanical system

人工肌肉 电磁铁 机器人 仿人机器人 机制(生物学) 执行机构 计算机科学 人工智能 机电一体化 模仿 控制工程 控制理论(社会学) 模拟 工程类 机械工程 磁铁 物理 社会心理学 量子力学 心理学 控制(管理)
作者
Engin Ünal,Samet Özcan
出处
期刊:MP MATERIALPRUEFUNG - MP MATERIALS TESTING [De Gruyter]
卷期号:64 (10): 1495-1503
标识
DOI:10.1515/mt-2022-0173
摘要

Abstract Humanity is increasingly approaching the dream of making humanoid robots that have been imaginary for many years with advancing technology. Designs that are close to perfect in humanoid or animal-like robots emerge with the research and development studies carried out by researchers on this subject. In order to develop these robots, the movement mechanism of humans and animals must be examined again. Robots will work in place of people and can be used in wars with the development of these systems. In this study, the usability and performance of the linear actuator, which is widely used in various mechatronic systems as a linear motion provider, in the artificial muscle mechanism have been tested. Moreover, it tried to create a similar prototype by examining the working logic of skeletal muscle. The different aspect of the study is to indicate how the motion energy can be gained without using the conventional motors that are used in robot technologies. The artificial musculature is formed by arranging the electromagnets in a row, leaving a gap between them. The desired length of movement is formed as a result of the activated electromagnets gaining magnetism and closing the gap. In the study, the maximum load that the artificial muscle can pull according to the given voltage was 130.18 N and the average maximum gap length of each sarcomere was 1.68 mm. The efficiency of artificial muscle was found to be 56% compared to human muscle.
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
刚刚
青日完成签到,获得积分10
1秒前
1秒前
量子星尘发布了新的文献求助10
1秒前
今后应助平淡的灰阶采纳,获得10
2秒前
2秒前
2秒前
桐桐应助Faceman采纳,获得10
3秒前
3秒前
酷波er应助LXiao采纳,获得10
3秒前
5秒前
6秒前
suliang发布了新的文献求助10
6秒前
Bingtao_Lian发布了新的文献求助10
7秒前
7秒前
7秒前
苏silence发布了新的文献求助10
7秒前
8秒前
科研牛马发布了新的文献求助10
9秒前
量子星尘发布了新的文献求助10
10秒前
10秒前
Will发布了新的文献求助10
10秒前
10秒前
11秒前
11秒前
11秒前
12秒前
13秒前
13秒前
14秒前
14秒前
15秒前
15秒前
pp发布了新的文献求助200
15秒前
上官若男应助科研通管家采纳,获得10
15秒前
刘荻萩应助科研通管家采纳,获得20
15秒前
小二郎应助科研通管家采纳,获得10
16秒前
科研通AI5应助科研通管家采纳,获得10
16秒前
小蘑菇应助科研通管家采纳,获得10
16秒前
16秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
The First Nuclear Era: The Life and Times of a Technological Fixer 500
ALUMINUM STANDARDS AND DATA 500
Walter Gilbert: Selected Works 500
岡本唐貴自伝的回想画集 500
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 3667692
求助须知:如何正确求助?哪些是违规求助? 3226209
关于积分的说明 9768461
捐赠科研通 2936216
什么是DOI,文献DOI怎么找? 1608183
邀请新用户注册赠送积分活动 759531
科研通“疑难数据库(出版商)”最低求助积分说明 735404