Additive manufacturing simulations

US12299358B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12299358-B2
Application numberUS-202117197767-A
CountryUS
Kind codeB2
Filing dateMar 10, 2021
Priority dateMar 10, 2021
Publication dateMay 13, 2025
Grant dateMay 13, 2025

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Abstract

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Methods of simulating additively manufacturing an object may include generating a simulated additively manufactured object based at least in part on a plurality of approximate consolidation domains that respectively correspond to a plurality of consolidation tracks determined from one or more digital representations of an additively manufactured object, and determining a predictive inference with respect to one or more material properties of the object to be additively manufactured based at least in part on the simulated additively manufactured object. Methods may include generating, for an object to be additively manufactured, a CAD file and/or a build file based at least in part on a simulated additively manufactured object and/or based at least in part on one or more predictive inferences with respect to one or more material properties of the object to be additively manufactured. An object may be additively manufactured based at least in part on a simulated additively manufactured object and/or a CAD file and/or the build file corresponding thereto.

First claim

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What is claimed is: 1. A method comprising: actuating an image sensor including a microscope to collect micrographic image data of a powder bed including melted or fused powder; collecting one or more irradiation parameters of an irradiation device that formed the melted or fused powder in the powder bed; identifying, from the micrographic image data, a plurality of consolidation tracks, each of the plurality of consolidation tracks corresponding to a region of the melted or fused powder in the powder bed; determining a plurality of approximate consolidation domains, each of the plurality of approximate consolidation domains corresponding to one or more of the plurality of consolidation tracks; determining a probability distribution of one or more dimensional properties of the plurality of approximate consolidation domains; generating a model of an additively manufactured three-dimensional object based at least in part on the probability distribution of the one or more dimensional properties of the plurality of approximate consolidation domains, the model including a probability distribution of one or more simulated consolidation artifacts, the probability distribution of the one or more simulated consolidation artifacts identified based on the probability distributions of the one or more dimensional properties of the plurality of approximate consolidation domains and the collected irradiation parameters; and determining a predictive inference with respect to one or more material properties of a three-dimensional object to be additively manufactured based on the generated model, the predictive inference based at least in part on the probability distribution of the one or more simulated consolidation artifacts in the generated model. 2. The method of claim 1 , further comprising: determining the plurality of approximate consolidation domains based at least in part on a curve fitting algorithm and/or based at least in part on a data library that includes a plurality of geometric approximation candidates. 3. The method of claim 1 , wherein the plurality of consolidation tracks correspond to a melt pool domain, a sintering domain, or a reaction domain. 4. The method of claim 1 , wherein generating the model of the additively manufactured three-dimensional object comprises: determining a plurality of simulated consolidation layers respectively including at least some of the plurality of approximate consolidation domains. 5. The method of claim 1 , further comprising: determining the plurality of approximate consolidation domains based at least in part on an irradiation parameter matrix, the irradiation parameter matrix comprising a plurality of nodes, respective ones of the plurality of nodes defining one or more irradiation parameter values utilized when forming a corresponding one or more of the plurality of consolidation tracks. 6. The method of claim 1 , wherein at least some of the plurality of approximate consolidation domains differ from one another in respect of at least one of the one or more dimensional properties in accordance with a probability distribution determined based at least in part on the plurality of consolidation tracks. 7. The method of claim 1 , wherein the plurality of simulated consolidation artifacts include void elements, overlap elements, or both; wherein the plurality of simulated consolidation artifacts include coarse grain structures, microcrystalline grain structures, nanocrystalline grain structures, amorphous regions, precipitates, crystalline dislocations, twinning dislocations, or combinations thereof; wherein the plurality of simulated consolidation artifacts include unmelted powder particles, unsintered powder particles, or unbound binder particles. 8. The method of claim 1 , wherein the one or more material properties include: porosity, void sizes, void area, void aspect ratio, void maximum size, density, elastic modulus, yield strength, ductility, hardness, surface finish, mass, fatigue limit, or creep. 9. The method of claim 1 , comprising: generating a CAD file or a build file for the three-dimensional object to be additively manufactured according to the generated model, the CAD file or the build file based at least in part on the generated model or based at least in part on the predictive inference with respect to the one or more material properties of the three-dimensional object to be additively manufactured according to the generated model. 10. The method of claim 1 , comprising: additively manufacturing the three-dimensional object based at least in part on the generated model or based at least in part on the predictive inference with respect to the one or more material properties. 11. A method of additively manufacturing a three-dimensional object, the method comprising: actuating an image sensor including a microscope to collect micrographic image data of a powder bed including melted or fused powder; collecting one or more irradiation parameters of an irradiation device that formed the melted or fused powder in the powder bed; identifying, from the micrographic image data, a plurality of consolidation tracks, each of the plurality of consolidation tracks corresponding to a region of the melted or fused powder in the powder bed; determining a plurality of approximate consolidation domains, each of the plurality of approximate consolidation domains corresponding to one or more of the plurality of consolidation tracks; determining a probability distribution of one or more dimensional properties of the plurality of approximate consolidation domains; generating a model of an additively manufactured three-dimensional object based at least in part on the probability distribution of one or more dimensional properties of the plurality of approximate consolidation domains, the model including an identification, for each of a plurality of modeled points defining the additively manufactured three-dimensional object, of a presence of simulated consolidation artifact based on the probability distribution of one or more dimensional properties of the plurality of approximate consolidation domains and the collected irradiation parameters; and actuating the irradiation device to additively manufacture a three-dimensional object based at least in part on the generated model. 12. The method of claim 11 , comprising: generating a CAD file or a build file for the three-dimensional object to be additively manufactured, the CAD file or the build file based at least in part on the simulated additively manufactured three-dimensional object and/or based at least in part on one or more predictive inferences with respect to one or more material properties of the three-dimensional object to be additively manufactured; and additively manufacturing the three-dimensional object based at least in part on the CAD file or the build file. 13. A system comprising a computer including a processor and a memory, the memory storing instructions executable by the processor to: actuate an image sensor including a microscope to collect micrographic image data of a powder bed including melted or fused powder; collect one or more irradiation parameters of an irradiation device that formed the melted or fused powder in the powder bed; identify, from the micrographic image data, a plurality of consolidation tracks, each of the plurality of consolidation tracks corresponding to a region of the melted or fused powder in the powder bed; determine a plurality of approximate consolidation domains of the melted or fused powder, each of the plurality of approximate consolidation domains corresponding to one or more of the plurality of c

Assignees

Inventors

Classifications

  • Processes of additive manufacturing · CPC title

  • Manufacturability analysis or optimisation for manufacturability · CPC title

  • Additive manufacturing, e.g. three-dimensional [3D] printing · CPC title

  • using particle-based methods · CPC title

  • Mechanical parametric or variational design · CPC title

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What does patent US12299358B2 cover?
Methods of simulating additively manufacturing an object may include generating a simulated additively manufactured object based at least in part on a plurality of approximate consolidation domains that respectively correspond to a plurality of consolidation tracks determined from one or more digital representations of an additively manufactured object, and determining a predictive inference wi…
Who is the assignee on this patent?
Gen Electric, Concept Laser Gmbh
What technology area does this patent fall under?
Primary CPC classification B33Y50/02. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue May 13 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).