1980
DOI: 10.1016/0003-682x(80)90002-x
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Flow resistance information for acoustical design

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Cited by 212 publications
(99 citation statements)
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“…The vector x here is the design variable vector which is composed of the parameters with unknown values and need to be determined with the help of minimisation procedure Eq. (24). The sum in Eq.…”
Section: Optimisation Methods For Parameter Inversionmentioning
confidence: 99%
See 1 more Smart Citation
“…The vector x here is the design variable vector which is composed of the parameters with unknown values and need to be determined with the help of minimisation procedure Eq. (24). The sum in Eq.…”
Section: Optimisation Methods For Parameter Inversionmentioning
confidence: 99%
“…There are several models that can be used to link the fibre diameter d f , and material density ρ f , with the flow resistivity, σ. 24,25 However, a better model to enable this link is the Carman-Kozeny model for the permeability of porous media, 26 which was introduced in the 1930s. Unlike some other empirical models, which can be used to predict the flow resistivity of fibre, the Carman-Kozen model is derived from Poiseuille's equation for laminar flow and presents a theoretical links between the flow resistivity, fibre diameter, and bulk material density.…”
Section: Reticulated Foams and Fibrous Materialsmentioning
confidence: 99%
“…First, empirical methods have been developed from the analysis of the exact nature of the microstructure and the measurement of the acoustic performance. [2][3][4][5][6] These models, mainly developed for fibers, give an estimation of the airflow resistivity r from the bulk density of the fibrous material q 1 and the fiber diameter d. It is found that the relation between these three parameters depends on the type of material (glass wool, polyester fibers…) under investigation; which is characteristic of empirical approaches, but can nevertheless be used to optimize the fabrication process of the considered porous material.…”
Section: Introductionmentioning
confidence: 99%
“…The empirical model is a good and fast approximation to the theoretical calculations because the model needs only one input parameter, the airflow resistivity. Bies and Hansen (1980) extended the lower and upper frequency ranges of validity of this model. Further updates and improvements were recommended by Miki (1990a, b).…”
Section: Empirical Modelsmentioning
confidence: 88%