Magnetostrictive tactile sensor for texture detection

被引:0
作者
Wang B.-W. [1 ,2 ]
Wang X.-D. [1 ,2 ]
Li Y.-K. [1 ,2 ]
Wan L.-L. [1 ,2 ]
Zheng W.-D. [1 ,2 ]
Wei J.-Q. [1 ,2 ]
机构
[1] State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin
[2] Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin
来源
Guangxue Jingmi Gongcheng/Optics and Precision Engineering | 2018年 / 26卷 / 12期
关键词
Fine density; Galfenol; Magnetostrictive inverse effect; Roughness; Texture detection;
D O I
10.3788/OPE.20182612.2991
中图分类号
学科分类号
摘要
Texture is the embodiment of the distribution of surface microstructure. Tactile texture is a crucial factor to consider for improvement of the perception and exerting control over the environment of the material. In this study, a highly accurate and responsive tactile sensor was designed and fabricated using the inverse magnetostrictive effect of Galfenol to detect the surface microstructure of different objects and determine their roughness and fine density. Based on the Euler-Bernoulli beam dynamics theory, linear constitutive equations of magnetostrictive materials, and Faraday's law of electromagnetic induction, a relationship was established between the microstructure of the textured surface and the output voltage. The experimental results showed that the sensor had high sensitivity to object roughness recognition for roughness greater than 6.5. For fineness greater than 6, the method of extracting harmonic frequency was highly sensitive in identifying fineness. However, when the fineness was less than 6, the method of extracting the center of gravity of the power spectrum had high sensitivity for the identification of fineness. These results showed that the signal obtained by the sensor could be used to characterize the rough-smooth and sparse-fine attributes of different objects by eigenvalue extraction. © 2018, Science Press. All right reserved.
引用
收藏
页码:2991 / 2997
页数:6
相关论文
共 16 条
[1]  
Bulatov V., Gardner J., Visualization by people without vision, Workshop on Content Visualisation & Intermediate Representations, pp. 103-108, (1998)
[2]  
Fritz J.P., Barner K.E., Design of a haptic data visualization system for people with visual impairments, IEEE Transactions on Rehabilitation Engineering a Publication of the IEEE Engineering in Medicine & Biology Society, 7, 3, (1999)
[3]  
Jansson G., Bergamasco M., Frisoli A., A new option for the visually impaired to experience 3D art at museums: manual exploration of virtual copies, Visual Impairment Research, 5, 1, pp. 1-12, (2009)
[4]  
Zhang D.Z., Tong J., Liu Z., Et al., Tactile sensing characteristics of electroactive polymer film based flexible devices, Opt. Precision Eng., 22, 8, pp. 2151-2158, (2014)
[5]  
Wu J.J., Li Y., Li D.S., Et al., Design and calibration of 3D micro tactile probe based on MEMS capacitance sensor, Opt. Precision Eng., 21, 12, pp. 3087-3094, (2013)
[6]  
Zhai P., Xiao B.H., He K., Et al., Composite backward control for GMA and its application in high precision machining of variable ellipse pinhole, Opt. Precision Eng., 24, 6, pp. 1389-1398, (2016)
[7]  
Huang W.M., Xue Y.L., Wang L., Et al., Multi-field coupling model considering dynamic losses for giant magnetostrictive transducers, Transactions of China Electrotechnical Society, 31, 7, pp. 173-178, (2016)
[8]  
Wang B.W., Zhang L.Y., Wang P., Et al., Analysis of detection signal for magnetostrictive displacement sensor, Opt. Precision Eng., 24, 2, pp. 358-364, (2016)
[9]  
Cao S.Y., Sang J., Zheng J.J., Et al., Mechanical-electro coupled dynamic model of Galfenol cantilever energy harvester, Proceedings of the CSEE, 35, 21, pp. 5623-5631, (2015)
[10]  
Wang F.J., Jia Z.Y., Liu W., Et al., Calculation of magnetostrictive coefficient of composite thin film and structure optimization of cantilever, Opt. Precision Eng., 19, 8, pp. 1832-1837, (2011)