现代纺织技术 ›› 2022, Vol. 30 ›› Issue (1): 101-108.DOI: 10.19398/j.att.202012020

• 纺织设备 • 上一篇    下一篇

非接触式纱线状态检测技术研究

章钰娟1, 彭来湖1(), 徐郁山2, 袁嫣红1   

  1. 1.浙江理工大学浙江省现代纺织装备技术重点实验室,杭州 310018
    2.浙江康立自控科技有限公司,浙江新昌 312500
  • 收稿日期:2020-12-29 出版日期:2021-06-29 网络出版日期:2021-06-29
  • 通讯作者:彭来湖,E-mail: laihup@zstu.edu.cn
  • 通讯作者:彭来湖
  • 作者简介:章钰娟(1990-),女,安徽铜陵人,硕士研究生,主要从事针织装备控制技术方面的研究。
  • 基金资助:
    浙江省科技厅重点研发计划项目(2019C01038);浙江省博士后科研项目特别资助项目(ZJ2020004)

Research on non-contact yarn state detection technology

ZHANG Yujuan1, PENG Laihu1(), XU Yushan2, YUAN Yanhong1   

  1. 1.Key Laboratory of Modern Textile Machinery & Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China
    2.Zhejiang Kangli Self-control Technology Co. LTD., Xinchang 312500, China
  • Received:2020-12-29 Published:2021-06-29 Online:2021-06-29

摘要:

针对针织机械生产中纱线张力波动、断纱、停纱等纱线状态变化影响织物质量的问题,深入分析纱线输送动态特征,提出了一种基于红外光投影的光电感应检测方法,阐述了纱线状态检测总体方案,详细论述了纱线状态检测器硬件设计和软件开发。根据光电感应信号特点,设计了双路差分检测放大电路,并采用滞回比较电路实现模拟信号到数字信号的转化。通过对脉冲信号进行统计归纳,最终得到纱线张力与脉冲个数的关系,进而实现针织机械生产编织过程中纱线状态的动态检测和实时报警。测试表明:光电感应的纱线状态检测方法可行,设计的纱线状态检测器工作正常,随着纱线张力的变化,测得的脉冲个数也随之变化,两者具有正相关性。研究成果对纱线张力的非接触性检测研究具有重要意义。

关键词: 纱线输送, 纱线张力, 光电传感, 脉冲信号, 硬件电路

Abstract:

Given the fact that fluctuation of yarn tension, yarn breakage, yarn stoppage and other changes in yarn state in the mechanical production of knitting can affect the quality of fabric, the dynamic characteristics of yarn delivery are deeply analyzed, and a photoelectric sensing detection method based on infrared projection is proposed. An overall detection scheme for yarn state is presented. The hardware design and software development of the yarn state detector are discussed in detail. According to the characteristics of the photoelectric sensing signal, a two-way differential detection amplifier circuit is designed, and a hysteresis comparison circuit is adopted to realize the conversion from analog signal to digital signal. Through the statistical induction of pulse signals, the relationship between the yarn tension and the number of pulses is finally obtained. After that, the dynamic detection and real-time alarm of yarn state during the production and knitting of the knitting machine are realized. The test shows that the yarn state detection method based on photoelectric induction is feasible, and the designed yarn state detector works normally. As the yarn tension changes, the number of measured pulses also changes accordingly. There is a positive correlation between the two. The research results are of great significance for the research of non-contact detection of yarn tension.

Key words: yarn delivery, yarn tension, photoelectric sensing, pulse signal, hardware circuit

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