Prediction of airflow resistivity of fibrous acoustical media having two fiber components and a distribution of fiber radii

Xue, Yutong; Bolton, J. Stuart; Gerdes, Ronald W.; Lee, Seungkyu; Herdtle, Thomas

doi:10.1016/j.apacoust.2018.01.011

Cited by 22 publications

(15 citation statements)

References 19 publications

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“…Thermal bonding material model was selected due to that the chosen highloft nonwovens were thermally bonded. The applied fiber diameter determination method in this study is different with Xue's method 14 because the fiber components used in our research have various length. The fiber diameter was calculated by using length-weighted average method, detailed method will be introduced in the Materials section.…”

Section: Airflow Resistivity Modelsmentioning

confidence: 96%

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

Yang

Saati

Horoshenkov

et al. 2018

Textile Research Journal

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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%.

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Section: Airflow Resistivity Modelsmentioning

confidence: 96%

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

Yang

Saati

Horoshenkov

et al. 2018

Textile Research Journal

View full text Add to dashboard Cite

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“…Good reviews of some of these models can be found in refs. [4][5][6]. These models can be grouped into two main categories: theoretical models and empirical models.…”

Section: Review Of Previous Work On Airflow Resistivity Modelsmentioning

confidence: 99%

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

et al. 2018

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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.

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“…Excellent agreement was obtained by adjusting the fiber-size distribution in the models. [22] These studies of configurable optimization offer adjustable porosity, tortuosity, and permeability, which will disturb the transmission of sound energy through composites.…”

Section: Introductionmentioning

confidence: 99%

Effect of crossing film among glass fibers on blanket performance

Chen

Wang

et al. 2019

Polymer Composites

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An effective film construction was provided as a noise‐reducing materials based on self‐assembled polymer film supported by ultralight glass fiber blanket (UGFB) skeleton. The synthesized polymer film enhanced UGFB structure shows about 60% improvement over a broad frequencies compared to neat UGFB. The sound transmission loss has a remarkably increasing of 16.59 dB at 4 kHz. The reinforced acoustic performances was created by the structural optimization of UGFB/UMPR‐film, owing to the observably enhanced tortuosity in sound waves transmission and reinforced surface area, which can induce more viscous and thermal losses when the acoustic wave consumes in the semiopen pore construction. Moreover, the UGFB/UMPR‐film demonstrates 7.4 times increasing in breaking strength (width direction) and the degrees of uniformity lower than 0.0771. The manufacture of this new acoustic damping materials is low cost, structural controllable, and easy to large‐scale preparation, making it can be applied in multitudinous applications.

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Prediction of airflow resistivity of fibrous acoustical media having two fiber components and a distribution of fiber radii

Cited by 22 publications

References 19 publications

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

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

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

Effect of crossing film among glass fibers on blanket performance

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