Method for establishing stress/strain curves by means of spline interpolation on the basis of characteristic points and with the use of neural networks

US7058618B2 · kind B2 · utility

Assignee

• BAYER HEALTHCARE LLC · DE

Inventors

• Roland Loosen · Lechenich, DE
• Thomas Mrziglod · Wittlich, DE
• Martin Wanders · Neschen, DE
• Klaus Salewski · Greifswald, DE
• Bahman Sarabi · Krefeld, DE

Key dates

• Filing date: Mar 27, 2002
• Grant date: Jun 6, 2006
• Expiry date: Feb 28, 2024

Classification

• Technology area (CPC G): Physics
• CPC primary: G01N2203/0218
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

A stress/strain curve is established by means of neural networks 1 to N and 4. To that end, parameters are input into the input 50, from which the neural networks 1 to N respectively establish the principal components of characteristic points. The curve type is selected on the basis of the output of the neural network 4. The principal components of the characteristic points of the corresponding curve type are then inverse-transformed. The stress/strain curve is then calculated by the generator 59 on the basis of the inverse transformation.