Hollow topology generation with lattices for computer aided design and manufacturing
US-10635088-B1 · Apr 28, 2020 · US
US11580279B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-11580279-B1 |
| Application number | US-202016866617-A |
| Country | US |
| Kind code | B1 |
| Filing date | May 5, 2020 |
| Priority date | May 5, 2020 |
| Publication date | Feb 14, 2023 |
| Grant date | Feb 14, 2023 |
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A method for performing a thermal simulation of an additive manufacturing process that includes accessing a voxel model representing a representative system using one or more processors. The voxel model includes a first transition associated with a first group of one or more voxels transitioning between liquid and vapor, a second transition associated with a second group of one or more voxels transitioning between solid and liquid, a third transition associated with a third group of one or more voxels undergoing sinter, and a fourth transition associated with a fourth group of one or more voxels undergoing a solid state phase change. The method determines a flux imbalance metric based on a flux, a rate of change of the first transition, a rate of change of the second transition, a rate of change of the third transition, and a rate of change of the fourth transition. The method determines one or more temperatures for the representative system based on the flux imbalance metric.
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What is claimed: 1. A method for performing a thermal simulation of an additive manufacturing process, comprising: accessing a voxel model representing a representative system using one or more processors, wherein the voxel model includes a first transition associated with a first group of one or more voxels transitioning between liquid and vapor, a second transition associated with a second group of one or more voxels transitioning between solid and liquid, a third transition associated with a third group of one or more voxels undergoing sinter, and a fourth transition associated with a fourth group of one or more voxels undergoing a solid state phase change; determining a flux imbalance metric based on a flux, a rate of change of the first transition, a rate of change of the second transition, a rate of change of the third transition, and a rate of change of the fourth transition; and determining one or more temperatures for the representative system based on the flux imbalance metric. 2. The computer implemented method of claim 1 , wherein the one or more temperatures is determined at each time increment based on the flux imbalance metric at each converged iteration. 3. The computer implemented method of claim 1 , wherein the one or more processors determines a thermal solution for the representative system based on the one or more temperatures. 4. The computer implemented method of claim 3 , wherein the thermal solution is used to produce an additive manufacturing component. 5. The computer implemented method of claim 3 , wherein the thermal solution is optimized to produce an additive manufacturing component to account for keyhole formation in a material. 6. The computer implemented method of claim 1 , wherein the one or more processors determines the flux with an initial flux or a previous flux from a previous iteration, and wherein the one or more processors determines the flux imbalance metric based on a vaporization metric, wherein the vaporization metric is based on a density of the vaporizing material, a latent heat of vaporization, and the rate of change of the first transition. 7. The computer implemented method of claim 1 , wherein the one or more processors determines the flux imbalance metric based on a melting metric, wherein the melting metric is based on a density of melting material, a latent heat of fusion, and the rate of change of the second transition. 8. The computer implemented method of claim 7 , wherein the melting metric is further based on a curvature of a liquid-solid interface and a surface tension of the liquid. 9. The computer implemented method of claim 8 , wherein the curvature of the liquid-solid interface and the surface tension of the liquid are based on a first melt pool energy from a drop-liquid interface, a second melt pool energy from a solid-substrate interface, and a third melt pool energy from a liquid-substrate interface. 10. The computer implemented method of claim 1 , wherein the one or more processors determines the flux imbalance metric based on a sintering metric, wherein the sintering metric is based on a heat capacity of a powder, the solidus temperature of a solid, and the rate of change of the third transition. 11. The computer implemented method of claim 1 , wherein the one or more processors determines the flux imbalance metric based on a phase change metric, wherein the phase change metric is based on a density of the phase change material, a latent heat of the solid state change, and the rate of change of the fourth transition. 12. A system for performing a thermal simulation of an additive manufacturing process, comprising: one or more processors; one or more non-transitory computer readable medium; and a thermal solver application stored on the one or more non-transitory computer readable medium and executable by the one or more processors, the thermal solver when executed being configured to: access a voxel model representing a representative system, wherein the voxel model includes a first transition of a first group of one or more voxels transitioning between liquid and vapor, a second transition of a second group of one or more voxels transitioning between solid and liquid, a third transition of a third group of one or more voxels undergoing sinter, and a fourth transition of a fourth group of one or more voxels undergoing a solid state phase change; determine a flux imbalance metric based on a flux, a rate of change of the first transition, a rate of change of the second transition, a rate of change of the third transition, and a rate of change of the fourth transition; determine one or more temperatures for the representative system at each time increment based on the flux imbalance metric at each converged iteration; and determine a thermal solution for the representative system based on the one or more temperatures. 13. The system for performing a thermal simulation of claim 12 , wherein the thermal solution is used to produce an additive manufacturing component. 14. The system for performing a thermal simulation of claim 12 , wherein the thermal solution is optimized to produce an additive manufacturing component to account for keyhole formation in a material. 15. The system for performing a thermal simulation of claim 12 , wherein the flux is determined with an initial flux or a previous flux from a previous iteration, and wherein flux imbalance metric is based on a vaporization metric, wherein the vaporization metric is based on a density of the vaporizing material, a latent heat of vaporization, and the rate of change of the first transition. 16. The system for performing a thermal simulation of claim 12 , wherein the flux imbalance metric is based on a melting metric, wherein the melting metric is based on a density of a melting material, a latent heat of fusion, and the rate of change of the second transition. 17. The system for performing a thermal simulation of claim 16 , wherein the melting metric is further based on a curvature of a of a liquid-solid interface and a surface tension of the liquid. 18. The system for performing a thermal simulation of claim 17 , wherein the curvature of the liquid-solid interface and the surface tension of the liquid are based on a first melt pool energy from a drop-liquid interface, a second melt pool energy from a solid-substrate interface, and a third melt pool energy from a liquid-substrate interface. 19. The system for performing a thermal simulation of claim 12 , wherein the flux imbalance metric is based on a sintering metric, wherein the sintering metric is based on a heat capacity of a powder, a solidus temperature of a solid, and the rate of change of the third transition. 20. The system for performing a thermal simulation of claim 12 , wherein the flux imbalance metric is based on a phase change metric, wherein the phase change metric is based on a density of the phase change material, a latent heat of the solid state change, and the rate of change of the fourth transition. 21. A method for performing a thermal simulation of an additive manufacturing process, comprising: accessing a pixel model representing a representative system using one or more processors, wherein the model includes a first transition associated with a first group of one or more pixels transitioning between liquid and vapor, a second transition associated with a second group of one or more pixels transitioning between solid and liquid, a third transition associated with a third group of one or more pixels unde
Data acquisition or data processing · CPC title
Calibration of process steps or apparatus settings, e.g. before or during manufacturing · CPC title
Powder bed fusion, e.g. selective laser melting [SLM] or electron beam melting [EBM] · CPC title
Data acquisition or data processing for additive manufacturing · CPC title
Data acquisition or data processing for additive manufacturing · CPC title
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