Sound absorption and compression properties of perpendicular-laid nonwovens

Yang, Tao; Xiong, Xiang; Mishra, Rajesh; Novák, Jan; Militký, Jiřı́

doi:10.1177/0040517517753634

Cited by 28 publications

(22 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, two commercially available types of polyester nonwoven materials that were made separately using rotation-vibration perpendicular technology. 12,27 Sample WM20 was prepared using perpendicular rotation technology; samples STG1 and STG2 were produced using perpendicular vibration technology. The fiber content in all of the samples in this study was the same.…”

Section: Methodsmentioning

confidence: 99%

“…11,35 The effect of airflow resistivity on sound absorption performance was also investigated in our previous study. 12 It was found that the sound absorption coefficient of fibrous materials with similar thickness increases with the increasing airflow resistivity up to around 6000 Pa s/m². After that the absorption coefficient decreases with the increase in airflow resistivity.…”

Section: Surface Impedance and Absorption Coefficientmentioning

confidence: 99%

“…After that the absorption coefficient decreases with the increase in airflow resistivity. 12,36 By applying predicted surface impedance into Eq. (2), the calculated absorption coefficient can be rapidly attained.…”

Section: Surface Impedance and Absorption Coefficientmentioning

confidence: 99%

“…The thermal properties and sound absorption of high-loft nonwovens made by staple, hollow and bi-component polyester were reported in refs. [11,12] The results showed that high-loft polyester nonwovens result in a sound absorption that shows a strong correlation with their thermal resistance. In addition, it was concluded that polyester nonwovens show the best sound absorption performance with airflow resistivity of 6000 Pa s/m 2 .…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Study on the sound absorption behavior of multi-component polyester nonwovens: experimental and numerical methods

Yang

Saati

Horoshenkov

et al. 2018

Textile Research Journal

Self Cite

View full text Add to dashboard Cite

This study presents an investigation of the acoustical properties of multi-component polyester nonwovens with experimental and numerical methods. Fifteen types of nonwoven samples made with staple, hollow and bi-component polyester fibers were chosen to carry out this study. The AFD300 AcoustiFlow device was employed to measure airflow resistivity. Several models were grouped in theoretical and empirical model categories and used to predict the airflow resistivity. A simple empirical model based on fiber diameter and fabric bulk density was obtained through the power-fitting method. The difference between measured and predicted airflow resistivity was analyzed. The surface impedance and sound absorption coefficient were determined by using a 45 mm Materiacustica impedance tube. Some widely used impedance models were used to predict the acoustical properties. A comparison between measured and predicted values was carried out to determine the most accurate model for multi-component polyester nonwovens. The results show that one of the Tarnow model provides the closest prediction to the measured value, with an error of 12%. The proposed power-fitted empirical model exhibits a very small error of 6.8%. It is shown that the Delany–Bazley and Miki models can accurately predict surface impedance of multi-component polyester nonwovens, but the Komatsu model is less accurate, especially at the low-frequency range. The results indicate that the Miki model is the most accurate method to predict the sound absorption coefficient, with a mean error of 8.39%.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Surface Impedance and Absorption Coefficientmentioning

confidence: 99%

Section: Surface Impedance and Absorption Coefficientmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Study on the sound absorption behavior of multi-component polyester nonwovens: experimental and numerical methods

Yang

Saati

Horoshenkov

et al. 2018

Textile Research Journal

Self Cite

View full text Add to dashboard Cite

show abstract

“…One polyester nonwoven material prepared by vibrating perpendicular technology [25] at the Technical University of Liberec, Czech Republic, as well as two types of commercially available polyester nonwoven materials which were separately made by vibrating perpendicular technology and rotating perpendicular technology were selected for this study. Sample WM was prepared by rotating perpendicular technology; samples ST T1 and ST T2 were produced by vibrating perpendicular technology [26]. Fig.…”

Section: Methodsmentioning

confidence: 99%

A study of some airflow resistivity models for multi-component polyester fiber assembly

et al. 2018

Self Cite

View full text Add to dashboard Cite

The airflow resistivity is a key parameter to predict accurately the acoustical properties of fibrous media. There is a large number of theoretical and empirical models which can be used to predict the airflow resistivity of this type of porous media. However, there is a lack of experimental data on the accuracy of these models in the case of multi-component fibrous media. This paper presents a detailed analysis of the accuracy of several existing models to predict airflow resistivity which make use of the bulk density and mean fibre diameter information. Three types of polyester (PET) materials made using regular PET, hollow PET and bi-component PET with a range of densities are chosen for this study. It is shown that some existing models largely under-or overestimate the airflow resistivity when compared with the measured values. A novel feature of this work is that it studies the relative performance of airflow resistivity prediction models that are based on the capillary channel theory and drag force theory. These two groups of models are then compared to some purely empirical models. It is found that the prediction error by some models is unacceptably high (e.g. >20-30%). The results suggest that there are existing models which can predict the airflow resistivity of multicomponent fibrous media with 8-10% accuracy.

show abstract