Design and optimization of a magnetorheological damper based on B-spline curves

阻尼器 磁流变液 磁流变阻尼器 花键(机械) 阻尼转矩 控制理论(社会学) 工作(物理) 结构工程 工程类 计算机科学 机械工程 电压 控制(管理) 人工智能 直接转矩控制 电气工程 感应电动机
作者
Gaoyu Liu,Fei Gao,Wei‐Hsin Liao
出处
期刊:Mechanical Systems and Signal Processing [Elsevier BV]
卷期号:178: 109279-109279 被引量:26
标识
DOI:10.1016/j.ymssp.2022.109279
摘要

Taking advantage of the magnetically controllable rheological properties of magnetorheological (MR) fluid, MR dampers are widely used in many engineering fields. Much effort has been made to improve the performance of MR dampers. Structural optimization is one of the popular methods to effectively improve the performance parameters of MR dampers. Most MR damper optimizations are focused on parts with regular shape, but shapes governed by equations can bring out more possibilities and further optimal results. Therefore, in this paper, a new MR damper is designed and optimized based on B-spline curves in order to maximize the controllable output damping force while saving the input power for the prosthetic knee. First, design principle of dividing the parts of the MR damper into two categories is introduced. Then, B-spline curves are used to form the piston shape, which is one of the crucial parts inside the magnetic circuit. Later, the optimal B-spline curve and other geometric parameters inside the magnetic circuit are obtained through simulation and optimization. Furthermore, the optimized MR damper is fabricated, assembled and tested. Finally, the proposed MR damper is compared with the ones in our previous work. Experimental results match well with the simulation ones. When working at the frequency of 1.0 Hz and the amplitude of 10 mm, the proposed MR damper has large maximum damping force and dynamic ratio, with acceptable equivalent damping. The proposed MR damper also performs better than the prototypes in our previous work in terms of maximum damping force, field dependent force, equivalent damping, dynamic range, and force-to-power ratio.

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
顺利毕业应助芋泥丸丸采纳,获得10
1秒前
1秒前
2秒前
赘婿应助pp采纳,获得10
2秒前
2秒前
BKSX发布了新的文献求助10
3秒前
3秒前
pp猪猪发布了新的文献求助10
3秒前
共享精神应助boyue采纳,获得10
3秒前
小云朵飘啊飘完成签到,获得积分10
4秒前
科研通AI6.2应助暮雨采纳,获得10
4秒前
李爱国应助没有你不行采纳,获得10
4秒前
Lucas应助科研通管家采纳,获得10
5秒前
zxx应助科研通管家采纳,获得10
5秒前
小蘑菇应助科研通管家采纳,获得10
5秒前
所所应助科研通管家采纳,获得10
5秒前
5秒前
6秒前
天天快乐应助科研通管家采纳,获得10
6秒前
科研通AI2S应助科研通管家采纳,获得10
6秒前
烟花应助科研通管家采纳,获得100
6秒前
斯文败类应助科研通管家采纳,获得10
6秒前
慕青应助科研通管家采纳,获得10
6秒前
6秒前
星辰大海应助科研通管家采纳,获得10
7秒前
洛白NON完成签到 ,获得积分10
7秒前
桃之夭夭发布了新的文献求助10
7秒前
共享精神应助科研通管家采纳,获得10
7秒前
科目三应助科研通管家采纳,获得10
7秒前
7秒前
9秒前
完美世界应助木春采纳,获得10
9秒前
10秒前
滴滴发布了新的文献求助10
10秒前
10秒前
10秒前
德芙应助栗子采纳,获得10
11秒前
KRYSTAL发布了新的文献求助10
12秒前
13秒前
bkagyin应助Wonder罗采纳,获得10
13秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Blackwell's five-minute veterinary consult clinical companion: small animal gastrointestinal diseases 500
Data book on fatigue strength of metallic materials 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7563751
求助须知:如何正确求助?哪些是违规求助? 9144268
关于积分的说明 19552237
捐赠科研通 7151262
什么是DOI,文献DOI怎么找? 3262390
关于科研通互助平台的介绍 2428640
邀请新用户注册赠送积分活动 2252109