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US 2025/0053152 A1Published application
Powder degradation predictions
AssigneeHewlett-Packard Development Company, L.P.
InventorsJacob Tyler WRIGHT, Sunil KOTHARI, Juan Carlos CATANA SALAZAR, Lei CHEN, Maria Fabiola LEYVA MENDIVIL, Jun ZENG
Life of this patent
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Abstract
Examples of methods are described. In some examples, a method includes determining a quantification of a spatial neighborhood of a voxel of a build volume. In some examples, the method includes predicting, using a machine learning model, a manufacturing powder degradation based on the quantification and a position of the voxel.
Claims15
A method, comprising:
- determining a quantification of a spatial neighborhood of a voxel of a build volume;
- and
- predicting, using a machine learning model, a manufacturing powder degradation based on the quantification and a position of the voxel.
An apparatus, comprising:
- a memory;
- and
- a processor coupled to the memory, wherein the processor is to:
- determine a voxel representing a portion of a build of manufacturing powder;
- performing a convolution based on neighboring voxels of the voxel to produce a quantification;
- and
- determine a powder quality metric based on the quantification.
4 more elements
A non-transitory tangible computer-readable medium comprising instructions when executed cause a processor of an electronic device to:
- voxelize a manufacturing build to produce voxels;
- determine, for a first voxel of the voxels, a quantification based on a length scale;
- and
- predict, using a machine learning model, manufacturing powder degradation based on the quantification, a position, and a build height.
1 more element
Dependencies are inferred from the claim text.