Invention Grant
- Patent Title: Predicted object attributes
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Application No.: US17270379Application Date: 2019-01-31
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Publication No.: US11731364B2Publication Date: 2023-08-22
- Inventor: Enrique Gurdiel Gonzalez , Victor Diego Gutierrez , Manuel Freire Garcia
- Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
- Applicant Address: US TX Spring
- Assignee: Hewlett-Packard Development Company, L.P.
- Current Assignee: Hewlett-Packard Development Company, L.P.
- Current Assignee Address: US TX Spring
- Agent Michael Dryja
- International Application: PCT/US2019/016016 2019.01.31
- International Announcement: WO2020/159509A 2020.08.06
- Date entered country: 2021-02-22
- Main IPC: B29C64/386
- IPC: B29C64/386 ; B33Y50/00 ; B22F10/80 ; G05B19/4099 ; B22F10/28 ; B22F12/82 ; B29C64/165 ; B22F10/14

Abstract:
In an example, a method includes receiving object model data representing at least a portion of an object that is to be generated by an additive manufacturing apparatus by fusing build material within a fabrication chamber. At least one of a number of different geometrical compensation models to be applied to the object model data may be selected, where the geometrical compensation models are to determine geometrical compensations to compensate for object deformation in additive manufacturing. An object generation operation based on a modification of the object model data using the or each selected geometrical compensation mode may be simulated and predicted attributes of the object when generated based on the or each simulation may be displayed.
Public/Granted literature
- US20210181714A1 PREDICTED OBJECT ATTRIBUTES Public/Granted day:2021-06-17
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