Modeling and validation of multifield coupled self-sensing characteristics of magnetorheological elastomer for vibration isolators

被引:7
|
作者
Li, Rui [1 ]
Gou, Xin [1 ]
Zhou, Mengjiao [1 ]
Yang, Ping-an [1 ]
Li, Penghua [1 ]
Shou, Mengjie [1 ]
Liao, Changrong [3 ]
Wang, Xiaojie [1 ,2 ]
机构
[1] Chongqing Univ Posts & Telecommun, Sch Automat, Chongqing 400065, Peoples R China
[2] Chinese Acad Sci, Inst Adv Mfg Technol, Hefei Inst Phys Sci, Changzhou 213164, Peoples R China
[3] Chongqing Univ, Key Lab Optoelect Technol & Syst, Minist Educ, Chongqing 400044, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Magnetorheological elastomer; Magnetic-mechanic-electric coupling model; Self-sensing isolator; Experimental verification;
D O I
10.1016/j.matdes.2022.110636
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, a multifield coupled self-sensing model for magnetorheological elastomer (MRE) isolators is proposed. By dispersing carbonyl iron particles and multiwalled carbon nanotubes in polydimethylsiloxane, an MRE with improved force-sensing capability is fabricated as a further effort to explore its comprehensive sensing effect. Then, the model is developed based on magnetic dipole analysis and tunneling theory. In addition, the conductive mechanism and vibrational operating state of the MRE are analyzed, while the effects of input force and current are investigated. The experimental results show that the resistance of the MRE decreases with increasing force or current, which is consistent with the theoretical model. For instance, the resistance decreases from 1.55 k Omega to 0.55 k Omega as the force changes from 0 N to 160 N, and the dynamic resistance responses show a very good match with the force input curve and the response curve present continuous, stable, and perfectly reversible signals. The validation results demonstrate that the proposed model can reproduce experimental results well without causing significant differences. In summary, the proposed model provides an accurate approach to estimating the conductivity of MREs for self-sensing actuator applications. (c) 2022 The Author(s). Published by Elsevier Ltd.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Vibration Characteristics Analysis of Orthotropic Rectangular Sandwich Plate with Magnetorheological Elastomer
    Yeh, Jia-Yi
    37TH NATIONAL CONFERENCE ON THEORETICAL AND APPLIED MECHANICS (37TH NCTAM 2013) & THE 1ST INTERNATIONAL CONFERENCE ON MECHANICS (1ST ICM), 2014, 79 : 378 - 385
  • [42] Vibration characteristics of smart sandwich beams embedded with magnetorheological elastomer cores
    Choi, W. J.
    Xiong, Y. P.
    Shenoi, R. A.
    ADVANCEMENTS IN MARINE STRUCTURES, 2007, : 421 - 428
  • [43] Self-Sensing Piezoelectric Actuators for Vibration Control Purposes
    Grasso, E.
    Pesotski, D.
    Janocha, H.
    ACTUATOR 10, CONFERENCE PROCEEDINGS, 2010, : 151 - 154
  • [44] Self-Sensing Active Magnetic Dampers for Vibration Control
    Bonfitto, Angelo
    De Lepine, Xavier
    Silvagni, Mario
    Tonoli, Andrea
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2009, 131 (06): : 1 - 7
  • [45] Wireless Monitoring of Wear of the Vibration Self-Sensing Tool
    Guo H.
    Hu K.
    Yan X.
    Yi Y.
    Xu Y.
    Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2022, 56 (11): : 1 - 10
  • [46] Simultaneous Self-Sensing of Displacement and Force for Soft Dielectric Elastomer Actuators
    Rizzello, Gianluca
    Fugaro, Federica
    Naso, David
    Seelecke, Stefan
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2018, 3 (02): : 1230 - 1236
  • [47] Self-sensing Algorithms for Dielectric Elastomer Multilayer Stack-Transducers
    Hoffstadt, Thorben
    Maas, Juergen
    IFAC PAPERSONLINE, 2016, 49 (21): : 373 - 379
  • [48] Self-sensing for robust automatic charge management of dielectric elastomer generators
    Zanini, Plinio
    Rizzello, Gianluca
    Seelecke, Stefan
    Rossiter, Jonathan
    Homer, Martin
    ELECTROACTIVE POLYMER ACTUATORS AND DEVICES (EAPAD) XX, 2018, 10594
  • [49] Self-Sensing McKibben Artificial Muscles Embedded With Dielectric Elastomer Sensor
    Kanno, Ryo
    Watanabe, Shuya
    Shimizu, Keita
    Shintake, Jun
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 6 (04) : 6274 - 6280
  • [50] Self-sensing of dielectric elastomer actuator enhanced by artificial neural network
    Ye, Zhihang
    Chen, Zheng
    SMART MATERIALS AND STRUCTURES, 2017, 26 (09)