Systems and methods for additive manufacturing and repair of metal components
US-9522426-B2 · Dec 20, 2016 · US
US10639721B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10639721-B2 |
| Application number | US-201615382411-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 16, 2016 |
| Priority date | Nov 8, 2012 |
| Publication date | May 5, 2020 |
| Grant date | May 5, 2020 |
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Scanning Laser Epitaxy (SLE) is a layer-by-layer additive manufacturing process that allows for the fabrication of three-dimensional objects with specified microstructure through the controlled melting and re-solidification of a metal powders placed atop a base substrate. SLE can be used to repair single crystal (SX) turbine airfoils, for example, as well as the manufacture functionally graded turbine components. The SLE process is capable of creating equiaxed, directionally solidified, and SX structures. Real-time feedback control schemes based upon an offline model can be used both to create specified defect free microstructures and to improve the repeatability of the process. Control schemes can be used based upon temperature data feedback provided at high frame rate by a thermal imaging camera as well as a melt-pool viewing video microscope. A real-time control scheme can deliver the capability of creating engine ready net shape turbine components from raw powder material.
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What is claimed is: 1. An adaptive control system for scanning laser epitaxy comprising: a thermal imaging camera; a machine vision camera; a scanning laser configured to create a melt pool of a material; a processor; and a memory containing instructions that, when executed by the processor, control the processor to: control the thermal imaging camera to capture thermal image data of a temperature field of the melt pool; estimate a temperature distribution of the melt pool based on at least a portion of the captured thermal image data; determine a difference of the estimated temperature distribution of the melt pool and a desired temperature distribution; control the machine vision camera to capture visual image data of the melt pool; estimate a shape of the melt pool from at least a portion of the captured visual image data; adjust at least one of a shape and size of a scanning pattern defined by movement of a center point of the scanning laser to adjust a shape of the melt pool toward a desired shape; identify variations in layer height between a first area of a surface of the material and a second area of the surface of the material; and control deposit height of a powder layer applied to the surface of the material to accommodate the identified variations, wherein controlling the deposit height comprises controlling a first deposit height in a first area of the powdered layer overlaying the first area of the surface of the material and controlling a second deposit height in a second area of the powder layer overlaying the second area of the surface of the material, the first deposit height and the second deposit height being different deposit heights. 2. The system of claim 1 wherein the instructions, when executed by the processor, control the processor to estimate the temperature distribution of the melt pool based on the captured thermal image data and an emissivity of the material. 3. The system of claim 1 , wherein the instructions, when executed by the processor, further control the processor to estimate a size of the melt pool from the thermal image data using at least one of Canny edge detection and connected contour labeling. 4. The system of claim 1 , wherein the instructions, when executed by the processor, further control the processor to: adjust a power of the scanning laser to adjust the estimated temperature distribution of the melt pool toward the desired temperature distribution. 5. The system of claim 1 , wherein the instructions, when executed by the processor, further control the processor to: adjust a scanning speed of the scanning laser to adjust the size of the melt pool toward a desired size. 6. The system of claim 5 further comprising: a strobe light, wherein the instructions, when executed by the processor, further control the processor to: control the strobe light to repeatedly illuminate the melt pool; and control the machine vision camera to capture the visual image data of the melt pool in synchronization with the strobe light. 7. The system of claim 5 , wherein the instructions, when executed by the processor, further control the processor to: filter a wavelength corresponding to the laser from the image data to reduce an appearance of the laser within the visual image data; and estimate the size of the melt pool from the filtered visual image data. 8. The system of claim 1 wherein the instructions, when executed by the processor, further control the processor to: filter the captured thermal image data through a short finite impulse response moving average filter; and estimate a temperature distribution of the melt pool based on the filtered captured thermal image data. 9. The system of claim 1 , wherein the instructions, when executed by the processor, further control the processor to adjust a focal spot size of the scanning laser to adjust the estimated temperature distribution of the melt pool toward the desired temperature distribution. 10. The system of claim 1 further comprising a machine vision camera, wherein the instructions, when executed by the processor, further control the processor to: control the machine vision camera to capture visual image data of the material; analyze the captured visual data to identify one or more defects in a portion of the material; and control the scanning laser to re-melt the identified portion of the material. 11. The system of claim 1 , wherein the memory comprises contains instructions that control the processor to adjust the scanning pattern to be a series of concentric circles, such that the scanning laser scanning across each concentric circle defines a respective concentric ring, and successive concentric rings of the respective concentric rings overlap. 12. The system of claim 11 , wherein the memory comprises contains instructions that control the processor to adjust the scanning pattern to be a continuous vector scan pattern. 13. An adaptive control method for scanning laser epitaxy, the method comprising: scanning a scanning laser along a scanning path in a scanning direction across a surface of a material to create a melt pool; capturing, by a thermal imaging camera having an observation angle trailing the scanning laser along the scanning path offset in the scanning direction, thermal image data of a temperature field of the melt pool of the material created by the scanning laser; estimating a temperature distribution of the melt pool based on at least a portion of the captured thermal image data; and adjusting a power of the scanning laser to adjust the temperature distribution of the melt pool toward a desired temperature distribution. 14. The method of claim 13 further comprising: capturing visual image data of the melt pool; estimating a size of the melt pool from at least a portion of the captured visual image data; and adjusting a scanning speed of the scanning laser to adjust the size of the melt pool toward a desired size. 15. The method of claim 13 further comprising: capturing visual image data of the melt pool; estimating a shape of the melt pool from at least a portion of the captured visual image data; and adjusting at least one of a shape and size of a scanning pattern defined by movement of a center point of the scanning laser to adjust a shape of the melt pool toward a desired shape. 16. The method of claim 13 further comprising: estimating the temperature distribution of the melt pool based on the captured thermal image data and an emissivity of the material. 17. The method of claim 13 , further comprising estimating a size of the melt pool from the thermal image data using at least one of Canny edge detection and connected contour labeling. 18. The method of claim 13 further comprising: capturing visual image data of the melt pool; analyzing the captured visual image data to identify variations in layer height between a first area of a first layer of the material and a second area of the first layer of the material; and adjusting deposit height within a second layer of the material deposited on the first layer to correct the identified variations, the adjusting comprising controlling a first deposit height in a first area of the second layer overlaying the first area of the first layer of the material and controlling a second deposit height in a second area of the second layer overlaying the second area of the first layer of the material, the first deposit height and the second deposit height being different deposit heights. 19. A system comprising: a conce
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