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:
Jan. 18, 2005

Filed:

Apr. 22, 2002
Applicants:

Klaus Salewski, Krefeld, DE;

Thomas Mrziglod, Gladbach, DE;

Martin Wanders, Odenthal, DE;

Roland Loosen, Erftstadt, DE;

Jürgen Flecke, Dormagen, DE;

Bahman Sarabi, Krefeld, DE;

Inventors:

Klaus Salewski, Krefeld, DE;

Thomas Mrziglod, Gladbach, DE;

Martin Wanders, Odenthal, DE;

Roland Loosen, Erftstadt, DE;

Jürgen Flecke, Dormagen, DE;

Bahman Sarabi, Krefeld, DE;

Assignee:

Bayer Aktiengesellschaft, Leverkusen, DE;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05B 1302 ; B29C 4500 ;
U.S. Cl.
CPC ...
Abstract

A method of determining properties relating to the manufacture of an injection-molded article is described. The method makes use of a hybrid model which includes at least one neural network and at least one rigorous model. In order to forecast (or predict) properties relating to the manufacture of a plastic molded part, a hybrid model is used which includes: one or more neural networks NN, NN, NN, NN, . . . , NN; and one or more rigorous models R, R, R, R, . . . , which are connected to one another. The rigorous models are used to map model elements which can be described in mathematical formulae. The neural model elements are used to map processes whose relationship is present only in the form of data, as it is typically impossible to model such processes rigorously. As a result, a forecast (or prediction) relating to properties including, for example, the mechanical, thermal and rheological processing properties and relating to the cycle time of a plastic molded part can be made.


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