OBJECT MODEL DIMENSION COMPENSATION FOR ADDITIVE MANUFACTURING

Patent №

US 11,117,326

Granted

2021-09-14

Filed 2019

Owner

HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Lab

AI components

1

kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16246038

In an example, a method includes generating a training dataset for an inference model to generate dimensional modifications to apply to object models to compensate for departures from model dimensions in objects generated using additive manufacturing based on those object models. Generating the training dataset may include acquiring, for each of a plurality of generated objects, (i) an indication of a first dimensional inaccuracy and a second dimensional inaccuracy, wherein the first and second dimensional inaccuracies are acquired in a direction of a first axis and relate to respective first and second object dimensions; and (ii) an indication of object placement within a fabrication chamber during object generation.

Knowledge representationB29C 64/393B22F 10/80B22F 10/28B33Y 50/02G06F 30/27G06F 2113/10Y02P 10/25

AI classification

Knowledge representation0.87
Planning0.41
Machine learning0.06
AI hardware0.03
Vision0.01
Speech0.00
Natural language0.00
Evolutionary computation0.00

Ownership

HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

assignment · 487070455

Assignors

GURDIEL GONZALEZ, ENRIQUE, SANROMA GARRIT, JORDI, FREIRE GARCIA, MANUEL, HP PRINTING AND COMPUTING SOLUTIONS, S.L.U

On an employer assignment, the assignors are typically the inventors.

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