关键词: 纱线输送, 电压信号, 纱线张力, 光电传感, 频数分布, 纬编针织机

Abstract:

Aiming at the problem that the tension and count regularity of yarn are difficult to be dynamically detected, which may lead to abnormal weft knitting, a photoelectric sensor-based non-contact yarn delivery state detection method was developed, and a binocular photoelectric sensor differential measurement was proposed. Dual-channel photoelectric components were innovatively designed to construct two-channel yarn dynamic sensing differential signal pairs to eliminate common-mode signal interference in order to pick up the weak yarn state signals by eliminating the influence of noise. On this basis, the yarn delivery state detection experiment was designed to test the real-time voltage signal when the yarn was delivered under different tensions and with different diameters, to analyze the signal average value, variance and numerical frequency distribution curve, and to reveal the dynamic characteristics of the yarn. The results show that as the yarn tension increases, the average value and variance of the difference signal gradually decrease, indicating that the yarn fluctuation amplitude is gradually decreasing, and the overall yarn fluctuation tends to be stable. Changing the yarn thickness will cause the yarn fluctuating amplitude to increases gradually, and the yarn fluctuation difference to gradually increase. When the yarn thickness increases to a certain value, the yarn fluctuation amplitude and the yarn fluctuation difference tend to be stable.

Key words: yarn delivery, voltage signal, yarn tension, photoelectric sensor, frequency distribution, weft knitting machine