A number of woven fabrics are selected and their rustling sounds recorded. The spectra forms of these recorded sounds are then obtained by FFT. The level pressure of total sound (LPT) is calculated to evaluate sound loudness of specimens. Level range (ΔL) and frequency differences (Δf) are used to quantify sound spectra shapes. Linear trends in frequency with autoregressive errors are fitted to amplitude, and three coefficients (ARF, ARE, ARC) of the functions are obtained. KES-FB is used for mechanical property measure ments. Fabrics with the same fiber type show similar spectra shapes. Silk and polyester satin fabrics generally make the quietest sounds with low LPT, and they also have lower ARC values. Silk crepe de chine shows the highest level range value (ΔL). ARC values are significantly correlated to LPT. The sound parameters of each fiber group are predicted with some mechanical properties such as bending, shear, compression, and surface properties, fabric thickness, and weight by stepwise regressions.
All Science Journal Classification (ASJC) codes
- Chemical Engineering (miscellaneous)
- Polymers and Plastics