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
彭于晏应助圆小异采纳,获得10
刚刚
123完成签到,获得积分10
1秒前
jianghuren完成签到,获得积分10
1秒前
2秒前
2秒前
Caesar发布了新的文献求助10
2秒前
CodeCraft应助读文献困难户采纳,获得10
3秒前
ccy2023完成签到,获得积分10
4秒前
4秒前
ding应助salad采纳,获得10
4秒前
5秒前
6秒前
科研通AI6.4应助WD采纳,获得10
6秒前
哈哈完成签到 ,获得积分10
7秒前
田様应助喵喵采纳,获得10
8秒前
香蕉觅云应助fzzf采纳,获得10
8秒前
zmy发布了新的文献求助10
9秒前
9秒前
Muhebbet发布了新的文献求助30
9秒前
可爱的函函应助小王梓采纳,获得10
9秒前
9秒前
木木夕云发布了新的文献求助10
9秒前
10秒前
11秒前
李爱国应助bynowcc采纳,获得10
11秒前
12秒前
ZXY发布了新的文献求助30
13秒前
Sevi完成签到,获得积分10
13秒前
科研通AI6.4应助rwowo采纳,获得10
15秒前
CodeCraft应助Zhbzzz采纳,获得10
16秒前
Orange应助dagger采纳,获得10
17秒前
共享精神应助魏煜佳采纳,获得10
19秒前
19秒前
21秒前
bkagyin应助哇哈哈哈采纳,获得10
21秒前
zmy完成签到,获得积分10
22秒前
Shelley应助chongziccc采纳,获得10
22秒前
万能图书馆应助chongziccc采纳,获得10
22秒前
23秒前
万能图书馆应助chongziccc采纳,获得10
23秒前
高分求助中
(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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Instituting Science: The Cultural Production of Scientific Disciplines 666
Signals, Systems, and Signal Processing 610
The Organization of knowledge in modern America, 1860-1920 / 600
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6360362
求助须知:如何正确求助?哪些是违规求助? 8174581
关于积分的说明 17218249
捐赠科研通 5415454
什么是DOI,文献DOI怎么找? 2865934
邀请新用户注册赠送积分活动 1843138
关于科研通互助平台的介绍 1691313