Anomaliedetektion bei Generativer Fertigung mittels Laserpulverbettfusion

Details

Veröffentlichungs-Nr.

EP4821619

Anmeldetag

17. März 2026

Veröffentlichung

14. Oktober 2026

Rechtsraum

EP

Abstract

Aspects of the present disclosure provide techniques for additive manufacturing anomaly detection. An example method includes obtaining, from an electromagnetic energy sensor (202, 204), a time-series signal (410) comprising a plurality of samples, wherein the samples correspond to electromagnetic emissions from an interaction between a first energy source (120) and powder (142) at a first focal point on a layer (172) of additive material (142) and the samples are generated at a sampling rate greater than or equal to a first sampling rate; decomposing the time-series signal into at least a high-frequency signal variation component (430); computing one or more spatiotemporal statistical values from the high-frequency signal variation component of the time-series signal; identifying, with a machine learning model (526), one or more perturbations, from the one or more spatiotemporal statistical values, that exceeds a predetermined threshold corresponding to the one or more spatiotemporal statistical values; and generating an alert in response to identifying the one or more perturbations.

Anmelder

Firma

General Electric Company

Land

🇺🇸 USA