Systems and methods for adjusting a three-dimensional (3d) model during additive manufacturing

US2023264423A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2023264423-A1
Application numberUS-202318108639-A
CountryUS
Kind codeA1
Filing dateFeb 12, 2023
Priority dateJun 26, 2018
Publication dateAug 24, 2023
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

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Embodiments of the present disclosure are drawn to systems and methods for adjusting a three-dimensional (3D) model used in metal additive manufacturing to maintain dimensional accuracy and repeatability of a fabricated 3D part. These embodiments may be used to reduce or remove geometric distortions in the fabricated 3D part. One exemplary method may include: receiving, via one or more processors, a selection made by a user; receiving a 3D model of a desired part; retrieving at least one model constant based on the user's selection; receiving an input of at least one process variable setting from a set of process variable settings; generating transformation factors based on the at least one process variable parameter and the at least one model constant; transforming the 3D model of the desired part based on the transformation factors; and generating processing instructions for fabricating the transformed 3D model of the desired part.

First claim

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1 . A method for maintaining dimensional accuracy of a fabricated three-dimensional (3D) part by adjusting a 3D model used in metal additive manufacturing, comprising: receiving, using a processor, a selection for fabricating a desired 3D part; receiving a 3D model of the desired 3D part; retrieving at least one model constant based on the selection; receiving an input of at least one process variable parameter from a set of process variable parameters; generating transformation factors based on the at least one process variable parameter and the at least one model constant; transforming the 3D model of the desired part based on the transformation factors; and generating processing instructions for fabricating the transformed 3D model of the desired part. 2 . The method of claim 1 , wherein the selection comprises a process selection, a hardware selection, and a build material selection. 3 . The method of claim 1 , wherein the at least one process variable parameter from the set of process variable parameters is an adjustable process variable in a 3D fabrication system. 4 . The method of claim 1 , wherein the at least one process variable parameter, comprises: controlling a layer height of a deposited bead of material, selecting a print speed, controlling a bead width of a deposited bead of material, controlling a temperature within a sintering furnace, and controlling the chemistry within a sintering furnace. 5 . The method of claim 3 , wherein the 3 D fabrication system is an extrusion-based fabrication process. 6 . The method of claim 3 , wherein the 3 D fabrication system is a binder jetting fabrication process. 7 . The method of claim 1 , wherein the 3D model is transformed by at least one of a scaling operation, an offsetting operation, a shearing operation, a rotation operation, a stretching operation, and a squeezing operation. 8 . The method of claim 1 , wherein the transformation factors comprise scaling factors and constant offsets to at least one model dimension of the 3D model. 9 . The method of claim 1 . wherein transforming the 3D model of the desired part based on the transformation factors comprises stretching or scaling the 3D model along one or more of X-, Y-, or Z-axes of the 3D model. 10 . The method of claim 1 , further comprising: fabricating the transformed model part using a 3D fabrication system; and repeating the steps of receiving an input of at least one process variable parameter from a set of process variable parameters, generating transformation factors based on the at least one process variable parameter and the at least one model constant, transforming the 3D model of the desired part based on the transformation factors, and generating process instructions for fabricating the transformed 3D model of the desired part. 11 . The method of claim 1 , w herein the at least one model constant is a set of model constants. 12 . The method of claim 11 , wherein the set of model constants are generated based on a regression model. 13 . A method for maintaining dimensional accuracy of a fabricated three-dimensional (3D) part by adjusting a 3D model used in metal additive manufacturing, comprising: receiving, using a processor, a selection for fabricating a desired 3D part; receiving a 3D model of the desired 3 D part; receiving an input of at least one process variable parameter from a set of process variable parameters; retrieving at least one model and at least one associated model constant based on the selection; generating transformation factors based on the at least one process variable parameter and the at least one model constant; transforming the 3D model of the desired part based on the transformation factors, and generating processing instructions for fabricating the transformed 3D model of the desired part. 14 . The method of claim 13 , wherein the selection comprises a process selection, a hardware selection, and a build material selection. 15 . The method of claim 13 , wherein the at least one process variable parameter from the set of process variable parameters is an adjustable process variable in a 3D fabrication system. 16 . The method of claim 15 , wherein the 3D fabrication system is an extrusion-based fabrication process. 17 . The method of claim 15 , wherein the 3D fabrication system is a binder jetting fabrication process. 18 . The method of claim 13 , w-herein transforming the 3D model of the desired part based on the transformation factors comprises stretching or scaling the 3D model along one or more of X-, Y-, or Z-axes of the 3D model. 19 . The method of claim 13 , wherein the 3D model is transformed by at least one of a scaling operation, an offsetting operation, a shearing operation, a rotation operation, a stretching operation, and a squeezing operation. 20 . A system for adjusting a three-dimensional (3D) model used in metal additive manufacturing, comprising: a processor configured to: receive, using a processor, a selection for fabricating a desired 3D part, receive a 3D model of the desired 3D part; retrieve at least one model constant based on the selection; receive an input of at least one process variable parameter from a set of process variable parameters; generate transformation factors based on the at least one process variable parameter and the at least one model constant; transform the 3D model of the desired part based on the transformation factors; and generate processing instructions for fabricating the transformed 3 D model of the desired part. 21 . (canceled)

Assignees

Inventors

Classifications

  • B29C64/393Primary

    for controlling or regulating additive manufacturing processes · CPC title

  • using filamentary material being melted, e.g. fused deposition modelling [FDM] · CPC title

  • using a combination of solid and fluid materials, e.g. a powder selectively bound by a liquid binder, catalyst, inhibitor or energy absorber · CPC title

  • Handling of additively manufactured objects, e.g. using robots · CPC title

  • B33Y50/02Primary

    for controlling or regulating additive manufacturing processes · CPC title

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What does patent US2023264423A1 cover?
Embodiments of the present disclosure are drawn to systems and methods for adjusting a three-dimensional (3D) model used in metal additive manufacturing to maintain dimensional accuracy and repeatability of a fabricated 3D part. These embodiments may be used to reduce or remove geometric distortions in the fabricated 3D part. One exemplary method may include: receiving, via one or more processo…
Who is the assignee on this patent?
Desktop Metal Inc
What technology area does this patent fall under?
Primary CPC classification B29C64/393. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Thu Aug 24 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).