基于压电阻抗技术吉他振动特性的研究

doi:10.16046/j.cnki.issn2096-5680.2021.04.002

河北水利电力学院学报 ›› 2021, Vol. 31 ›› Issue (4): 8-16+49.DOI: 10.16046/j.cnki.issn2096-5680.2021.04.002

基于压电阻抗技术吉他振动特性的研究

张军^1，2, 赵林玉², 罗德昌²

1.安徽理工大学人工智能学院，安徽省淮南市泰丰大街168号 232001；
2.安徽理工大学机械工程学院，安徽省淮南市泰丰大街168号 232001

收稿日期:2021-06-18 修回日期:2021-07-12 出版日期:2021-12-31 发布日期:2021-12-27
作者简介:张军(1963-),男，汉族，福建漳州人，教授，博士，硕士生导师，研究方向：机电一体化、压电阻抗技术、机器人、人工智能，E-mail:zhj63@163.com
基金资助:
国家自然科学基金资助项目( 51175005) ;安徽省科技重大专项计划项目(16030901012)

Research on Vibration Characteristics of Guitar Based on Piezoelectric Impedance Technology

ZHANG Jun^1，2, ZHAO Lin-yu², LUO De-chang²

1.School of Artificial Intelligence, Anhui University of Science and Technology, 168 Taifeng Street, 232001, Huainan, Anhui, China;
2.School of Mechanical Engineering, Anhui University of Science and Technology, 168 Taifeng Street, 232001, Huainan, Anhui, China

Received:2021-06-18 Revised:2021-07-12 Online:2021-12-31 Published:2021-12-27

摘要/Abstract

摘要： 如何改善弦类乐器共鸣箱的声学特性一直是乐器制作行业亟待解决的热点问题。以吉他为例，提出了一种基于压电阻抗技术的吉他振动特性的验证方法，搭建了一组吉他的有限元模型，借助于调整其边界参数进行模态分析，确定了影响其振动特性的主要边界参数；搭建了吉他的振动特性阻抗及声学分析实验平台，完成吉他振动特性的阻抗及声学实验，得到了压电阻抗技术可以用于改善吉他共鸣箱的振动特性的结论；最后应用神经网络对弦的直径进行预测，得出神经网络可以运用到吉他弦直径的预测。

关键词: 压电阻抗技术, 吉他, 振动特性, 模态分析, 固有频率, 声学实验, 神经网络

Abstract: How to improve the acoustic characteristics of chord type instrument resonators has been a hot issue in the industry of instrument making. Taking the guitar as an example, this paper presented a verification method of vibration characteristics of guitar based on EMI technology. A set of finite element models of the resonant box were built. By adjusting its boundary parameters, the main boundary parameters which affect the vibration characteristics were determined by modal analysis. The experimental platform of vibration characteristic impedance and acoustic analysis of the resonance box was built, and the vibration characteristic impedance and acoustic experiments of the resonance box were completed. It is concluded that EMI technology can be used to improve the vibration characteristics of guitar . Finally, the diameter of string was predicted by neural network，it was concluded that the neural network can be applied to the prediction of guitar string diameter.

Key words: piezoelectric impedance technology, guitar, vibration characteristics, modal analysis, natural frequency, acoustic experiment, the neural network

中图分类号:

TP206.1

张军, 赵林玉, 罗德昌. 基于压电阻抗技术吉他振动特性的研究[J]. 河北水利电力学院学报, 2021, 31(4): 8-16+49.

ZHANG Jun, ZHAO Lin-yu, LUO De-chang. Research on Vibration Characteristics of Guitar Based on Piezoelectric Impedance Technology[J]. Journal of Hebei University of Water Resources and Electric Engineering, 2021, 31(4): 8-16+49.

参考文献

[1] Ahmed, SA and Adamopoulos, S. Acoustic properties of modified wood under different humid conditions and their relevance for musical instruments[J]. Applede Acoustics,2018(140):92-99.
[2] Debut, V. , et al. Physics-based modeling techniques of a twelve-string Portuguese guitar: A non-linear time-domain computational approach for the multiple-strings/bridge/soundboard coupled dynamics[J]. Applied Acoustics, 2016(108):3-18.
[3] Kusumaningtyas I, Yordaniansyah H, Purwanto T A. Acoustical properties of petung bamboo for the top plate of guitars [J]. Applied Acoustics, 2016(112): 123-130.
[4] 陈超.基于LabVIEW接口的数据采集系统设计及吉他音色的研究[D].淮南:安徽理工大学,2011.
[5] 矫盼盼.不同弹拨位移下吉他琴弦振动特性及声学品质的研究[D].济南:山东建筑大学,2020.
[6] 张军,陆俊峰,袁翔,等. 基于EMI技术的小型直流电机振动噪声研究[J].噪声与振动控制,2019(4):134-140.
[7] 张军,罗德昌,丁鹏飞.基于EMI技术的质量流量计U型管动态测试研究[J].机电工程,2021(3):293-299.
[8] 韩芳,汪程凤,张全景.基于压电阻抗技术的木梁损伤识别研究[J].压电与声光,2020(4):497-500+505.
[9] 张斯,王涛,邵俊华,等.压电阻抗解耦技术在螺栓联接状态监测中的应用[J].机械设计与制造,2019(8):161-164.
[10] 郝佳佳.基于压电阻抗技术和神经网络的空间结构螺栓球节点连接损伤识别方法研究[D].青岛:青岛理工大学,2018.
[11] 沈星,吕娟,章建文,等.基于压电阻抗技术和BP网络的结构健康监测[J].南京航空航天大学学报,2010(4):418-422.
[12] 刘烨,陈勇.基于压电阻抗技术的结构损伤识别的实验研究[J].上海建设科技,2019(3):68-71.
[13] 张政,王涛,鲁光涛,等. 基于压电阻抗技术的结构初始裂纹监测研究[J].传感技术学报,2019(4):631-636.
[14] 黎俊楠.基于EMI与ANN技术的吉他共鸣箱评价系统[D].淮南:安徽理工大学,2018.
[15] French M.Structural modification of stringed instruments [J]. Mechanical Systems and Signal Processing,2006,21(1):98-107.
[16] 张志新,石文奇,程凡,等.基于BP神经网络的网络直播皮革服装销量预测[J].皮革与化工,2021(3):26-30.

基于压电阻抗技术吉他振动特性的研究

Research on Vibration Characteristics of Guitar Based on Piezoelectric Impedance Technology

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