Image-based defect detections in additive manufacturing
US-2022270236-A1 · Aug 25, 2022 · US
US2023127361A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023127361-A1 |
| Application number | US-202218145686-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 22, 2022 |
| Priority date | Apr 1, 2020 |
| Publication date | Apr 27, 2023 |
| Grant date | — |
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Methods and apparatus for two-dimensional and three-dimensional scanning path visualization are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to identify at least one melt pool dimension using a beam parameter setting, the at least one melt pool dimension identified from a plurality of melt pool dimensions obtained by varying the beam parameter setting, identify a response surface model based on the plurality of melt pool dimensions to determine an effect of variation in the beam parameter setting on the at least one melt pool dimension, output a three-dimensional model of a scanning path for an additive manufacturing process using the response surface model, and adjust the beam parameter setting based on the three-dimensional model to identify a second beam parameter setting.
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What is claimed is: 1 . An apparatus comprising: at least one memory; instructions in the apparatus; and processor circuitry to execute the instructions to: identify at least one melt pool dimension using a beam parameter setting, the at least one melt pool dimension identified from a plurality of melt pool dimensions obtained by varying the beam parameter setting; identify a response surface model based on the plurality of melt pool dimensions to determine an effect of variation in the beam parameter setting on the at least one melt pool dimension; output a three-dimensional model of a scanning path for an additive manufacturing process using the response surface model, the response surface model including a transfer function to determine at least one of a melt pool depth or a melt pool width; and adjust the beam parameter setting based on the three-dimensional model to identify a second beam parameter setting, the second beam parameter setting used to at least one of increase fusion, decrease fusion, or decrease burn back of a build to improve three-dimensional build quality. 2 . The apparatus of claim 1 , wherein the processor circuitry is to generate the response surface model used to determine the plurality of melt pool dimensions. 3 . The apparatus of claim 2 , wherein the processor circuitry is to receive parameter settings, the parameter settings including at least one of a laser beam spot size, a laser power, and a laser speed. 4 . The apparatus of claim 1 , wherein the plurality of melt pool dimensions include the melt pool width and the melt pool depth. 5 . The apparatus of claim 1 , wherein the three-dimensional model includes a contour area, a bulk area, or a down-skin area. 6 . The apparatus of claim 1 , wherein the three-dimensional model permits display of build areas showing a lack of fusion or excess melting. 7 . The apparatus of claim 1 , wherein the processor circuitry is to generate a three-dimensional view of the scanning path based on a number of melt layers. 8 . The apparatus of claim 7 , wherein the processor circuitry is to output a percentage of material volume melted per the number of melt layers. 9 . A method comprising: identifying at least one melt pool dimension using a beam parameter setting, the at least one melt pool dimension identified from a plurality of melt pool dimensions obtained by varying the beam parameter setting; identifying a response surface model based on the plurality of melt pool dimensions to determine an effect of variation in the beam parameter setting on the at least one melt pool dimension; outputting a three-dimensional model of a scanning path for an additive manufacturing process using the response surface model, the response surface model including a transfer function to determine at least one of a melt pool depth or a melt pool width; and adjusting the beam parameter setting based on the three-dimensional model to identify a second beam parameter setting, the second beam parameter setting used to at least one of increase fusion, decrease fusion, or decrease burn back of a build to improve three-dimensional build quality. 10 . The method of claim 9 , further including generating the response surface model used to determine the plurality of melt pool dimensions. 11 . The method of claim 10 , further including receiving parameter settings, the parameter settings including at least one of a laser beam spot size, a laser power, and a laser speed. 12 . The method of claim 9 , wherein the plurality of melt pool dimensions include the melt pool width and the melt pool depth. 13 . The method of claim 9 , wherein the three-dimensional model includes a contour area, a bulk area, or a down-skin area. 14 . The method of claim 9 , further including displaying build areas showing a lack of fusion or excess melting. 15 . The method of claim 9 , further including generating a three-dimensional view of the scanning path based on a number of melt layers. 16 . The method of claim 15 , further including outputting a percentage of material volume melted per the number of melt layers. 17 . A non-transitory computer readable storage medium comprising instructions that, when executed, cause a processor to at least: identify at least one melt pool dimension using a beam parameter setting, the at least one melt pool dimension identified from a plurality of melt pool dimensions obtained by varying the beam parameter setting; identify a response surface model based on the plurality of melt pool dimensions to determine an effect of variation in the beam parameter setting on the at least one melt pool dimension; output a three-dimensional model of a scanning path for an additive manufacturing process using the response surface model, the response surface model including a transfer function to determine at least one of a melt pool depth or a melt pool width; and adjust the beam parameter setting based on the three-dimensional model to identify a second beam parameter setting, the second beam parameter setting used to at least one of increase fusion, decrease fusion, or decrease burn back of a build to improve three-dimensional build quality. 18 . The non-transitory computer readable storage medium of claim 17 , wherein the instructions, when executed, cause a processor to generate the response surface model used to determine the plurality of melt pool dimensions. 19 . The non-transitory computer readable storage medium of claim 18 , wherein the instructions, when executed, cause a processor to receive parameter settings, the parameter settings including at least one of a laser beam spot size, a laser power, and a laser speed. 20 . The non-transitory computer readable storage medium of claim 17 , wherein the instructions, when executed, cause a processor to display build areas showing a lack of fusion or excess melting.
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