A rotary self-sensing magnetorheological damper based on triboelectric nanogenerator

IF 3.7 3区材料科学 Q1 INSTRUMENTS & INSTRUMENTATION

Smart Materials and Structures Pub Date : 2024-07-17 DOI:10.1088/1361-665x/ad5d32

Shiyu Zhao, Rongchang Hu, Guanghui Han, Huaxia Deng, Mengchao Ma, Xiang Zhong and Xinglong Gong

{"title":"A rotary self-sensing magnetorheological damper based on triboelectric nanogenerator","authors":"Shiyu Zhao, Rongchang Hu, Guanghui Han, Huaxia Deng, Mengchao Ma, Xiang Zhong and Xinglong Gong","doi":"10.1088/1361-665x/ad5d32","DOIUrl":null,"url":null,"abstract":"A rotary self-sensing magnetorheological (MR) damper(RSMRD) based on a triboelectric nanogenerator is proposed in this study, which can provide variable torque and state self-sensing without a power supply. Compared with traditional self-sensing devices, the sensing part of RSMRD has the advantages of small size, no external power supply, and good low-frequency response. The feasibility of the angular velocity self-sensing (AVS) function is verified through theoretical derivation and experimental verification. The experimental results demonstrate a linear relationship between the output voltage generated by the AVS component and the rotational speed of the rotating shaft. Additionally, the torque characteristics of the rotary self-sensing MR damper are tested, revealing a torque generation of approximately 9.26 N m at a current of 1.6 A. Furthermore, a fuzzy control algorithm for vehicle braking is proposed, based on the model parameters of RSMRD. The simulink software is used to establish a dynamic model of 1/4 car braking, with an initial braking speed of 15 m s−1. The results indicate that the vehicle comes to a complete stop after 1.64 s, with a braking distance of 10.93 m. Throughout the braking process, the vehicle slip rate remains close to the optimal slip rate of 0.2.","PeriodicalId":21656,"journal":{"name":"Smart Materials and Structures","volume":"14 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Materials and Structures","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1088/1361-665x/ad5d32","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}

引用次数: 0

Abstract

A rotary self-sensing magnetorheological (MR) damper(RSMRD) based on a triboelectric nanogenerator is proposed in this study, which can provide variable torque and state self-sensing without a power supply. Compared with traditional self-sensing devices, the sensing part of RSMRD has the advantages of small size, no external power supply, and good low-frequency response. The feasibility of the angular velocity self-sensing (AVS) function is verified through theoretical derivation and experimental verification. The experimental results demonstrate a linear relationship between the output voltage generated by the AVS component and the rotational speed of the rotating shaft. Additionally, the torque characteristics of the rotary self-sensing MR damper are tested, revealing a torque generation of approximately 9.26 N m at a current of 1.6 A. Furthermore, a fuzzy control algorithm for vehicle braking is proposed, based on the model parameters of RSMRD. The simulink software is used to establish a dynamic model of 1/4 car braking, with an initial braking speed of 15 m s−1. The results indicate that the vehicle comes to a complete stop after 1.64 s, with a braking distance of 10.93 m. Throughout the braking process, the vehicle slip rate remains close to the optimal slip rate of 0.2.

查看原文本刊更多论文

基于三电纳米发电机的旋转自感应磁流变阻尼器

本研究提出了一种基于三电纳米发电机的旋转自感应磁流变（MR）阻尼器（RSMRD），该阻尼器无需电源即可提供可变扭矩和状态自感应。与传统的自感应装置相比，RSMRD 的传感部分具有体积小、无需外部电源、低频响应好等优点。通过理论推导和实验验证了角速度自感应（AVS）功能的可行性。实验结果表明，AVS 元件产生的输出电压与旋转轴的转速之间存在线性关系。此外，还测试了旋转自感应磁共振阻尼器的扭矩特性，结果显示在电流为 1.6 A 时可产生约 9.26 N m 的扭矩。此外，还根据 RSMRD 的模型参数，提出了一种用于车辆制动的模糊控制算法。使用 simulink 软件建立了 1/4 汽车制动的动态模型，初始制动速度为 15 m s-1。结果表明，车辆在 1.64 秒后完全停止，制动距离为 10.93 米。在整个制动过程中，车辆的滑移率始终接近 0.2 的最佳滑移率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Smart Materials and Structures 工程技术-材料科学：综合

CiteScore

7.50

自引率

12.20%

发文量

317

审稿时长

3 months

期刊介绍： Smart Materials and Structures (SMS) is a multi-disciplinary engineering journal that explores the creation and utilization of novel forms of transduction. It is a leading journal in the area of smart materials and structures, publishing the most important results from different regions of the world, largely from Asia, Europe and North America. The results may be as disparate as the development of new materials and active composite systems, derived using theoretical predictions to complex structural systems, which generate new capabilities by incorporating enabling new smart material transducers. The theoretical predictions are usually accompanied with experimental verification, characterizing the performance of new structures and devices. These systems are examined from the nanoscale to the macroscopic. SMS has a Board of Associate Editors who are specialists in a multitude of areas, ensuring that reviews are fast, fair and performed by experts in all sub-disciplines of smart materials, systems and structures. A smart material is defined as any material that is capable of being controlled such that its response and properties change under a stimulus. A smart structure or system is capable of reacting to stimuli or the environment in a prescribed manner. SMS is committed to understanding, expanding and dissemination of knowledge in this subject matter.