Journal of Textile Research ›› 2022, Vol. 43 ›› Issue (08): 167-175.doi: 10.13475/j.fzxb.20201002109

• Machinery & Accessories • Previous Articles     Next Articles

Detection technology for electromagnetic needle selection based on piezoelectric adhesive assembly

WANG Luojun1(), PENG Laihu2,3, SHI Weimin2,3, ZHANG Weizhong1   

  1. 1. Zhejiang Institute of Mechanical & Electrical Engineering, Hangzhou, Zhejiang 310051, China
    2. The Center for Engineering Technology of Modern Textile Machinery & Technology of Ministry of Education, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
    3. Key Laboratory of Modern Textile Machinery & Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
  • Received:2020-10-10 Revised:2022-03-19 Online:2022-08-15 Published:2022-08-24

RichHTML

10

PDF (PC)

50

Abstract:

Aiming at the distortion of cloth pattern caused by electromagnetic needle selector in jacquard knitting machine and high level defects, a signal detection scheme for needle selection based on a piezoelectric adhesive assembly is proposed. The detection experiment of vibration characteristics of the baffle of needle selector was designed, the signal characteristics of the forced vibration of the baffle was analyzed, and the feasibility of using the impact force signal of the forced baffle vibration was verified as the key data for detecting whether the action of the needle selection is effective. The piezoelectric adhesive assembly was prepared through experiments to sense the strain of micro-force of the baffle to facilitate the detection of the impact force signal associated to the needle selection. Based on the analysis of the frequency spectrum of the designed piezoelectric adhesive assembly, electrical modeling was carried out, the detection circuit of vibrating signal was designed, and a semi-closed loop control strategy of electromagnetic needle selection based on the feedback mechanism of signal detection of the vibration was proposed, which helps achieve the real-time monitoring and effectiveness feedback for the jacquard action of the needle selector under the on-site working conditions. This work provides a technical solution for reducing the defective rate of fabrics in the jacquard operation.

Key words: knitting machine, piezoelectric ceramic, electromagnetic needle selector, piezoelectric adhesive assembly, laser vibration measurement

CLC Number: 

  • TS103.7

Fig.1

Schematic diagram of drive module of electromagnetic needle selector. (a) Driving component; (b) Tool head model of electromagnetic needle selector; (c) Uniform magnetization of ferromagnetism (macro);(d) Sketch of needle selection mechanism"

Fig.2

Experimental platform of baffle vibration detection. (a) Architecture of experimental platform; (b) Schematic of laser point"

Fig.3

Schematic diagram of characteristic of baffle vibration detection"

Tab.1

Vibration displacement and velocity peak of baffle (downward movement)"

驱动电压/V Vmax/(mm·s–1) Xmax/(10–5 mm)
28 0.431 9 12
26 0.372 5 10
24 0.376 9 11
22 0.313 6 8
20 0.226 7 6
18 0.163 1 4.5

Fig.4

Schematic diagram of key steps and physical model of piezoelectric adhesive assembly. (a) Fixed a position by means of hinges before fusing; (b) Hierarchical diagram of bonding process; (c) Physical structure model of adhesive body"

Fig.5

Conductivity graph of piezoelectric adhesive assembly (end product)"

Fig.6

Fitting curve of equivalent circuit model of piezoelectric adhesive assembly. (a) Finished product and its equivalent circuit model; (b)Ungraded product and its equivalent circuit model"

Fig.7

Schematic diagram of waveform of output voltage of piezoelectric adhesive assembly. (a) Part of complete waveform of output voltage; (b) Output voltage waveform when head swings upward; (c) Output voltage waveform when head swings downward"

Tab.2

Average value of output voltage signal peaks of piezoelectric adhesive assembly"

驱动电压/V 摆击方向 输出信号波峰均值/V
28 向上摆击 0.468 429
向下摆击 0.583 491
26 向上摆击 0.378 945
向下摆击 0.525 889
24 向上摆击 0.274 861
向下摆击 0.478 564
22 向上摆击 0.221 564
向下摆击 0.451 894
20 向上摆击 0.190 332
向下摆击 0.432 151
18 向上摆击 无明显波形
向下摆击 0.345 168

Fig.8

Frequency spectra of output signal of piezoelectric adhesive assembly under different driving voltages. (a) 28 V(up); (b) 28 V(down); (c) 26 V (down); (d) 24 V(down)"

Fig.9

Schematic diagram of signal detection circuit. (a) Charge amplifier module; (b) Supplementary module for actual circuit design"

Fig.10

Program architecture and fault tolerance mechanism of vibration signal detection. (a) Fault-tolerant mechanism of vibration detection; (b) Architecture of vibration detection program"

[1] 陈金灿. 中国纺机行业“十三五”发展系列报道之二中国纺机阔步新征程[J]. 纺织机械, 2016(2): 30-31.
CHEN Jincan. China textile machinery industry "Thirteenth Five-Year" development report series 2 China textile machinery strides new journey[J]. Textile Machinery, 2016(2): 30-31.
[2] 王钢飚. 电子提花机传动系统及选针器检测仪研制[D]. 杭州: 浙江大学, 2010:40-42.
WANG Gangbiao. Appliaction of the transmission system of jcaquard and an electronic needle selection tester[D]. Hangzhou: Zhejiang University, 2010:40-42.
[3] 李军, 朱方明, 周炯, 等. 应用频闪原理的选针器频率检测系统设计[J]. 纺织学报, 2017, 38(3):138-142.
LI Jun, ZHU Fangming, ZHOU Jiong, et al. Appliaction of laser displacement sensor to free-form surface measurement[J]. Journal of Textile Research, 2017, 38(3):138-142.
[4] 王罗俊. 电磁选针器的动态特性及控制实现[D]. 杭州: 浙江理工大学, 2019:14-24.
WANG Luojun. Dynamic characteristics and control realization of electromagnetic needle selector[D]. Hangzhou: Zhejiang Sci-Tech University, 2019:14-24.
[5] 梁灿彬, 秦光戎, 梁竹健. 电磁学[M]. 北京: 高等教育出版社, 2012:287-289.
LIANG Canbin, QIN Guangrong, LIANG Zhujian. Electromagnetism[M]. Beijing: Higher Education Press, 2012: 287-289.
[6] 孟宗, 刘彬. 激光多普勒扭矩非接触测量的研究[J]. 光电工程, 2006(6):88-91.
MENG Zong, LIU Bin. Torque non-contact measurement based on laser doppler effect[J]. Opto-Electronic Engineering, 2006(6):88-91.
[7] 左爱斌, 于梅, 马明德, 等. 高频振动外差激光干涉仪研究[J]. 科技导报, 2006(11):13-14.
ZUO Aibin, YU Mei, MA Mingde, et al. Research of heterodyne interferometer of high-frequency vibra-tion[J]. Science & Technology Review, 2006(11):13-14.
[8] 刘杰坤, 马修水, 马勰. 激光多普勒测振仪研究综述[J]. 激光杂志 2014, 35(12):1-5.
LIU Jiekun, MA Xiushui, MA Xie. Review of laser doppler vibrometer[J]. Laser Journal, 2014, 35(12):1-5.
[9] 齐洪东, 杨涛, 岳高铭, 等. 微型压电陶瓷振动发电技术研究综述[J]. 传感器与微系统, 2007(5):1-4.
QI Hongdong, YANG Tao, YUE Gaoming, et al. Survey on research of miniature vibration generation technology based on piezoelectric ceramics[J]. Transducer and Microsystem Technologies, 2007(5):1-4.
[10] 孙艾薇. 结构健康监测中的压电传感技术研究[D]长沙: 中南大学, 2010:3-4.
SUN Aiwei. Research on piezoelectric sensing technology in structural health monitoring[D]. Changsha: Central South University, 2010:3-4.
[11] 黄家荣, 叶晓靖. 压电陶瓷电特性测试与分析[J]. 电子技术应用, 2016, 42(8):16-20.
HUANG Jiarong, YE Xiaojing. Testing and analysis of PZT electrical characteristic[J]. Application of Electronic Technique, 2016, 42(8):16-20.
[12] 周秀珍, 肖雷. 基于快速傅里叶变换的实时频谱分析方法研究[J]. 信息通信, 2018(8):21-22.
ZHOU Xiuzhen, XIAO Lei. Research on real-time spectrum analysis method based on fast fourier trans-form[J]. Information & Communications, 2018(8):21-22.
[13] 叶飞, 吴加权, 张馨予, 等. 基于谐波窗函数的桥梁振动信号分解与重构[J]. 振动与冲击, 2018, 37(16):234-240.
YE Fei, WU Jiaquan, ZHANG Xinyu, et al. Decomposition and reconstruction of bridge vibration signals based on the harmonic window function[J]. Journal of Vibration and Shock, 2018, 37(16):234-240.
[14] 袁帅. 基于压电效应的环境俘能技术研究[D]. 南京: 南京邮电大学, 2015:7-11.
YUAN Shuai. Research on technology of environmental energy harvesting based on piezoelectric effect[D]. Nanjing: Nanjing University of Posts and Telecommunications, 2015:7-11.
[15] SIROHI J, CHOPRA I. Fundamental understanding of piezoelectric strain sensors[J]. Journal of Intelligent Material Systems and Structures, 2000, 11(4):246-257.
doi: 10.1106/8BFB-GC8P-XQ47-YCQ0
[16] 谢静. 新型电荷放大器设计[D]. 西安: 西安理工大学, 2008:10-14.
XIE Jing. Design of a new charge amplifier[J]. Xi'an: Xi'an University of Technology, 2008:10-14.
[17] 张微, 高国旺, 李汉兴, 等. 新型压电式传感器前置放大电路的设计[J]. 电子测试, 2010(6):10-14.
ZHANG Wei, GAO Guowang, LI Hanxing, et al. Design of preamplifier circuit based on novel piezoelectric sensor[J]. Electronic Test, 2010(6):10-14.
[1] TU Jiajia, SUN Lei, MAO Huimin, DAI Ning, ZHU Wanzhen, SHI Weimin. Automatic bobbin changing technology for circular weft knitting machines [J]. Journal of Textile Research, 2022, 43(07): 178-185.
[2] ZHENG Baoping, JIANG Gaoming. Design of warp knitting machine data management system based on cloud server [J]. Journal of Textile Research, 2022, 43(07): 186-192.
[3] JIN Guiyang, CHEN Gang, SUN Pingfan. Information model of sweater production workshops based on OPC unified architecture and its application [J]. Journal of Textile Research, 2022, 43(03): 185-192.
[4] LI Dongdong, ZHANG Chengjun, ZUO Xiaoyan, ZHANG Chi, ZHU Li, LIU Yakun. Influence of densely wound coil array structure on driving performance of suspended knitting needles [J]. Journal of Textile Research, 2021, 42(09): 156-162.
[5] ZHENG Baoping, JIANG Gaoming, XIA Fenglin, ZHANG Aijun. Design of dynamic tension compensation system for warp knitting let-off based on model predictions [J]. Journal of Textile Research, 2021, 42(09): 163-169.
[6] ZHOU Mengmeng, JIANG Gaoming, GAO Zhe, ZHENG Peixiao. Research progress in weft-knitted biaxial tubular fabric reinforced composites [J]. Journal of Textile Research, 2021, 42(07): 184-191.
[7] GUO Weidong, XIA Fenglin, ZHANG Qi. Influencing factors on high speed of electronic shogging system in warp knitting machines [J]. Journal of Textile Research, 2021, 42(01): 162-166.
[8] ZHAO Boyu, LIANG Xinhua, CONG Honglian. Structural modeling and process practice of three-dimensional fully fashioned face masks woven by computerized flat knitting machine [J]. Journal of Textile Research, 2020, 41(12): 59-65.
[9] DAI Ning, PENG Laihu, HU Xudong, CUI Ying, ZHONG Yaosen, WANG Yuefeng. Method for testing natural frequency of weft knitting needles in free state [J]. Journal of Textile Research, 2020, 41(11): 150-155.
[10] LI Dongdong, ZHANG Chengjun, ZUO Xiaoyan, ZHANG Chi, LI Hongjun, ZHOU Xiangyang. Study on magnetic field distribution in permanent magnetic needle drive using hybrid magnetic suspension needle [J]. Journal of Textile Research, 2020, 41(09): 136-142.
[11] LIU Bo, CONG Honglian. Research and implementation of flat-bed knitting process model of fully formed suit [J]. Journal of Textile Research, 2020, 41(07): 53-58.
[12] WANG Songsong, PENG Laihu, HU Xudong. Knitting machine information modeling under OPC unified architecture framework [J]. Journal of Textile Research, 2020, 41(05): 167-175.
[13] LIU Bo, CONG Honglian. Process design and knitting principle of one-piece casual suits based on four-needle-bed flat knitting machine [J]. Journal of Textile Research, 2020, 41(04): 129-134.
[14] SUN Shuai, MIAO Xuhong, ZHANG Qi, WANG Jin. Yarn tension fluctuation on high-speed warp knitting machine [J]. Journal of Textile Research, 2020, 41(03): 51-55.
[15] WANG Jiandong, XIA Fenglin, LI Yalin, ZHAO Yuning. Optimal sliding mode control of electronic transverse servo for comb bar of warp knitting machine [J]. Journal of Textile Research, 2020, 41(02): 143-148.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备14006648号
Copyright 2021 © Editorial office of Journal of Textile Research
Supported by Beijing Magtech Co.Ltd