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:
May. 10, 2022

Filed:

Feb. 28, 2019
Applicant:

The Procter & Gamble Company, Cincinnati, OH (US);

Inventors:

Knut Meinert, Lampertheim, DE;

Dominik L Michels, Bonn, DE;

Assignee:

The Procter and Gamble Company, Cincinnati, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06G 7/50 (2006.01); G06F 30/20 (2020.01); G06F 30/17 (2020.01); G06T 13/20 (2011.01); G06T 13/40 (2011.01); G06T 13/60 (2011.01); G06N 3/10 (2006.01); G06T 7/20 (2017.01); G06F 111/06 (2020.01); G06F 111/10 (2020.01);
U.S. Cl.
CPC ...
G06F 30/20 (2020.01); G06F 30/17 (2020.01); G06N 3/10 (2013.01); G06T 7/20 (2013.01); G06T 13/20 (2013.01); G06T 13/40 (2013.01); G06T 13/60 (2013.01); G06F 2111/06 (2020.01); G06F 2111/10 (2020.01); G06T 2210/21 (2013.01); G06T 2210/24 (2013.01);
Abstract

A computer-implemented method for inverse simulation of a plurality of fibers. The method comprises: providing a computational model for describing mechanical behavior of fibers; obtaining target geometry information describing a target configuration or dynamical behavior of the plurality of fibers; and inverse simulating the behavior of the plurality of fibers, using the computational model and the target geometry information, to calculate a target set of fiber mechanical parameters for the plurality of fibers. Fibers with the calculated target set of fiber mechanical parameters exhibit the target configuration or dynamical behavior. In some embodiments, the inverse simulation comprises using analysis-by-synthesis to help derive the target set of fiber mechanical parameters. In some embodiments, the inverse simulation uses a neural network to infer information about fiber mechanical parameters from the target geometry information. The invention also provides a method of training the neural network.


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