Title of article :
Design of acoustic trim based on geometric modeling and flow simulation for non-woven
Author/Authors :
Schladitz، نويسنده , , Katja and Peters، نويسنده , , Stefanie and Reinel-Bitzer، نويسنده , , Doris and Wiegmann، نويسنده , , Andreas and Ohser، نويسنده , , Joachim، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Pages :
11
From page :
56
To page :
66
Abstract :
In order to optimize the acoustic properties of a stacked fiber non-woven, the microstructure of the non-woven is modeled by a macroscopically homogeneous random system of straight cylinders (tubes). That is, the fibers are modeled by a spatially stationary random system of lines (Poisson line process), dilated by a sphere. Pressing the non-woven causes anisotropy. In our model, this anisotropy is described by a one parametric distribution of the direction of the fibers. In the present application, the anisotropy parameter has to be estimated from 2d reflected light microscopic images of microsections of the non-woven. fitting the model, the flow is computed in digitized realizations of the stochastic geometric model using the lattice Boltzmann method. Based on the flow resistivity, the formulas of Delany and Bazley predict the frequency-dependent acoustic absorption of the non-woven in the impedance tube. the geometric model, the description of a non-woven with improved acoustic absorption properties is obtained in the following way: First, the fiber thicknesses, porosity and anisotropy of the fiber system are modified. Then the flow and acoustics simulations are performed in the new sample. These two steps are repeated for various sets of parameters. Finally, the set of parameters for the geometric model leading to the best acoustic absorption is chosen.
Keywords :
Flow resistivity , Poisson line process , Lattice Boltzmann method , Acoustic absorption , Random system of fibers , Non-woven
Journal title :
Computational Materials Science
Serial Year :
2006
Journal title :
Computational Materials Science
Record number :
1681945
Link To Document :
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