US 12,391,002 B2
Geometrical compensation models
Sergio Gonzalez Martin, Sant Cugat del Valles (ES); Manuel Freire Garcia, Sant Cugat del Valles (ES); and Victor Diego Gutierrez, Sant Cugat del Valles (ES)
Assigned to Peridot Print LLC, Palo Alo (CA)
Appl. No. 17/757,789
Filed by Peridot Print LLC, Palo Alto, CA (US)
PCT Filed Jan. 22, 2020, PCT No. PCT/US2020/014537
§ 371(c)(1), (2) Date Jun. 21, 2022,
PCT Pub. No. WO2021/150215, PCT Pub. Date Jul. 29, 2021.
Prior Publication US 2023/0024633 A1, Jan. 26, 2023
Int. Cl. B29C 64/386 (2017.01); B33Y 50/02 (2015.01); G05B 19/4099 (2006.01)
CPC B29C 64/386 (2017.08) [B33Y 50/02 (2014.12); G05B 19/4099 (2013.01)] 7 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, by a processor, geometrical compensation model including geometrical transformations for a set of locations in a fabrication chamber for additive manufacturing, each location associated with a variability parameter derived from measurements of deformations of objects generated by a plurality of additive manufacturing apparatuses;
setting, by the processor, a threshold defining first and second levels of variability in deformations in objection generation, wherein a first subset of locations are associated with the first level of variability, a second subset of locations are associated with the second level of variability, and the second level is greater than the first level;
causing, by the processor, a particular additive manufacturing apparatus of the plurality of additive manufacturing apparatuses to generate calibration objects in at least some of the second subset of locations;
acquiring, by the processor, indications of deviations between intended object dimension and generated object dimensions for the calibration objects generated by the particular additive manufacturing apparatus;
deriving, by the processor, geometrical compensations to be associated with the second subset of locations based on the indications of deviations;
replacing, by the processor, data for the second subset of locations in the geometrical compensation model with the derived transformations to generate a modified geometrical compensation model;
determining, by the processor, a second spatial arrangement of objects to be generated by the particular additive manufacturing apparatus;
determining, by the processor, a geometrical transformation to be applied to each object based on the modified geometrical compensation model; and
causing, by the processor, the particular additive manufacturing apparatus to generate the objects in accordance with the geometrical transformation applied to each object.