US 2026/0311316 A1Published application

Method for determining a neutral fibre of a strand of a woven composite material

OwnerYanneck WIELHORSKI, Arturo MENDOZA QUISPE +1inventors

InventorsYanneck WIELHORSKI, Arturo MENDOZA QUISPE, Hugues TALBOT

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Abstract

A computer-implemented method for determining a neutral fibre of a strand extending in a predetermined direction in a three-dimensional representation of a woven composite material, the three-dimensional representation including a set of two-dimensional slices, the method including obtaining a machine learning model trained to determine, on the basis of the three-dimensional representation of the portion of the part, predictions of positions of centres of sections of strands extending in the predetermined direction in the set of two-dimensional slices; for each two-dimensional slice from among at least one subset of two-dimensional slices: determining, using the obtained machine learning model, a prediction of the position of the centre of the section of the strand and comparing the prediction with a reference position to obtain an indicator of the quality of the prediction; connecting the predictions of the positions to form the neutral fibre of the strand.

Claims12

Dependent claims

A computer implemented method for determining a skeleton of a strand extending in a predetermined direction in a three-dimensional representation of a portion of a woven composite material part, the three-dimensional representation of the portion of the part comprising a set of two-dimensional cross-sections, the two-dimensional cross-sections extending in a plane normal to the predetermined direction and comprising successive sections of the strand, said method comprising:

obtaining a machine learning model trained to determine, from the three-dimensional representation of the portion of the part, predictions of positions of centres of sections of strands extending along the predetermined direction in the set of two-dimensional cross-sections;
for each two-dimensional cross-section among a subset of two-dimensional cross-sections:
determining, using the machine learning model obtained, a prediction of the position of the strand section centre in said two-dimensional cross-section;
and
comparing the prediction of the position of the strand section centre with a reference position of the strand section centre to obtain a quality indicator of the prediction of the position of the strand section centre in the cross-section;
for each cross-section for which the quality indicator associated with the predicted position does not meet a predetermined quality criterion, correcting the predicted position by assigning it the reference position;
and
connecting the predictions of the positions of the strand section centres to form the strand skeleton.

5 more elements

Dependencies are inferred from the claim text.