Comparative Study on the Frictional Sound Properties of Woven Fabrics

• Autorzy: Wang P.-N. , Ho M.-H. , Cheng K.-B. , Murray R. , Lin C.-H.

Identyfikatory

DOI

10.5604/01.3001.0010.2600

Warianty tytułu

PL

Badanie porównawcze właściwości dźwięku tarcia tkanin

• Języki publikacji: EN

Abstrakty

EN

An innovative Frictional Sound Automatic Measuring System (FSAMS) was designed to collect and enable analysis of the frictional sound spectra of four natural fibre woven fabrics which included cotton, linen, silk, and wool. The Fast Fourier Transform (FFT) method was used to convert time-domain signals into frequency-domain signals to enable the maximum sound amplitude (MSA) and the level pressure of the total sound (LPTS) of the cotton, linen, silk, and wool fabrics to be calculated and analysed. Subsequently auto-regression formulae were used to calculate the fabric auto-regressive coefficients (ARC, ARF, and ARE); the correlations between fabric frictional sound in terms of LPTS and AR coefficients, and mechanical properties as measured by KES-FB were also evaluated. Stepwise regression was then used to identify the key frictional sound parameters for the four types of fabric. The results show that LPTS values for cotton, linen, silk, and wool fabrics increase with their ARC values. It was revealed that the key mechanical parameters affecting fabric frictional sound for the four natural fibre woven fabrics were not the same for each fabric type: the parameters that influenced LPTS values were the fabric weight and bending hysteresis for the cotton fabric, tensile energy for the linen, tensile resilience for the silk and shear hysteresis at a 5° shear angle for the wool fabric.

PL

Do analizy spektrum akustycznego czterech tkanin (bawełnianej, lnianej, jedwabnej i wełnianej) zastosowano innowacyjny system automatycznego pomiaru dźwięku tarcia (FSAMS). Do przekształcania sygnałów w dziedzinie czasu w sygnały w dziedzinie częstotliwości wykorzystano metodę szybkiej transformaty Fouriera (FFT). Następnie obliczono współczynniki autoregresji tkanin (ARC, ARF i ARE) i oceniono właściwości mechaniczne tkanin. Wyniki pokazują, że wartości poziomu ciśnienia dźwięku totalnego (LPTS) dla tkanin bawełnianych, lnianych, jedwabnych i wełnianych wzrastają wraz z wartościami współczynnika ARC. Wykazano również, że kluczowe parametry mechaniczne wpływające na tarcie tkaniny nie były takie same dla wszystkich typów tkanin. Parametrami mechanicznymi wpływającymi na wartości LPTS tkaniny bawełnianej były: ciężar i histereza zginania tkaniny, w przypadku tkaniny lnianej największy wpływ miała siła rozciągania, a w przypadku tkaniny wełnianej sprężystość powrotna.

Słowa kluczowe

EN

KES-FB; fast Fourier transform; auto-regressive coefficients; LPTS

PL

transformat Fouriera; współczynnik regresji

• Wydawca: Sieć Badawcza Łukasiewicz - Łódzki Instytut Technologiczny
• Czasopismo: Fibres & Textiles in Eastern Europe
• Rocznik: 2017
• Tom: Vol. 25, no. 4 (124)
• Strony: 36--44
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Wang P.-N.

• Department of Creative Fashion Design, Nanya Institute of Technology, Taoyuan, Taiwan R. O. C.

autor

Ho M.-H.

• Department of Mechanical Engineering, Nanya Institute of Technology, Taoyuan, Taiwan R. O. C.

autor

Cheng K.-B.

• Inorganic/Organic Composite Materials Laboratory, Department of Fiber and Composite Materials, College of Engineering, Head, Textile and Materials Industry Research Institute, Feng Chia University, Taichung, Taiwan R. O. C.

autor

Murray R.

• Department of Clothing Design and Technology, Manchester Metropolitan University, Manchester, United Kingdom

autor

Lin C.-H.

• Graduate School of Applied Technology, Nanya Institute of Technology, Taoyuan, Taiwan R. O. C.

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).