The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 03, 2001

Filed:

May. 19, 1997
Applicant:
Inventors:

John Stuart Bolton, West Lafayette, IN (US);

Heng-Yi Lai, Vernon, CT (US);

Jonathan H. Alexander, Roseville, MN (US);

Srinivas Katragadda, West Lafayette, IN (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/455 ; G06G 7/48 ;
U.S. Cl.
CPC ...
G06F 9/455 ; G06G 7/48 ;
Abstract

A computer controlled method for predicting acoustical properties for a generally homogeneous porous material includes providing at least one prediction model for determining one or more acoustical properties of homogeneous porous materials, providing a selected prediction model for use in predicting acoustical properties for the generally homogeneous porous material, and providing an input set of at least microstructural parameters corresponding to the selection model. One or more macroscopic properties for the homogeneous porous material are determined based on the input set of the microstructural parameters and acoustical properties for the homogeneous porous material are generated as a function of the one or more macroscopic properties and the selected prediction model. Such a prediction method may be used to predict acoustical properties for a generally homogeneous limp fibrous material with use of a flow resistivity model for predicting flow resistivity of homogeneous limp fibrous materials based on an input set of microstructural parameters. Another computer controlled method for predicting acoustical properties of multiple component acoustical systems is provided which uses a transfer matrix process for determining acoustical properties of the system based at least in part on microstructural inputs provided for one or more components of the acoustical system.


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