SPECTRUM ANALYSIS OF SLIVER SEPARATION

Abstract

The sliver separation behavior was investigated by power spectrum. The sliver was separated into small fiber assemblies by applying an opening device with a combing roller as well as air suction. The size of separated fiber assemblies was measured after amplification by a photoelectric method and recorded in a digital memory. Time series data were subjected to the fast Fourier transformation and then to the inverse Fourier transformation. The variation in separation behavior under several air suction velocities was analyzed in terms of the power spectrum and autocorrelation function. The separation behavior within a short period of time is random and exhibits a tendency of pink noise. On the other hand, the variation during a long period of time exhibits a tendency of white noise except in the lower frequency region. Irregularity existing in the sliver was revealed in the power spectrum in the low frequency region after separation.