Optical manufacturing process sensing and status indication system
An optical manufacturing process sensing and status indication system is taught that is able to utilize optical emissions from a manufacturing process to infer the state of the process. In one case, it is able to use these optical emissions to distinguish thermal phenomena on two timescales and to perform feature extraction and classification so that nominal process conditions may be uniquely distinguished from off-nominal process conditions at a given instant in time or over a sequential series of instants in time occurring over the duration of the manufacturing process. In other case, it is able to utilize these optical emissions to derive corresponding spectra and identify features within those spectra so that nominal process conditions may be uniquely distinguished from off-nominal process conditions at a given instant in time or over a sequential series of instants in time occurring over the duration of the manufacturing process.
1. A system, comprising:
an energy beam arranged to generate a molten region within a workpiece;
an optical sensor configured to collect spectral data from the molten region;
a processor configured to analyze the spectral data to determine a coupling efficiency of the energy beam to the workpiece; and
a status indicator configured to communicate the coupling efficiency to a human machine interface.
2. The system of claim 1 wherein the processor analyzes the spectral data by applying a fast fourier transfer (FFT) function to the spectral data to generate transformed data.
3. The system of claim 2 wherein the processor analyzes a relative height of one or more peaks of the transformed data.
4. The system of claim 2 wherein the processor analyzes the transformed data to determine a local minimum, and wherein the local minimum identifies an optimal coupling efficiency.
5. The system of claim 2 wherein the processor analyzes the transformed data to determine a local maximum, and wherein the local maximum identifies a suboptimal coupling efficiency.
6. The system of claim 1 wherein the energy beam is a laser and the workpiece comprises a bed of metallic powder.
7. A system, comprising:
an energy beam arranged to generate a molten region within a workpiece;
a thermal sensor configured to collect spectral data from the molten region;
a processor configured to analyze the spectral data to determine a coupling efficiency of the energy beam to the workpiece; and
a status indicator configured to communicate the coupling efficiency to a human machine interface.
8. The system of claim 7 wherein the thermal sensor is an optical sensor.
9. The system of claim 8 wherein the optical sensor is an optical pyrometer.
10. The system of claim 7 wherein the processor analyzes the spectral data by applying a fast fourier transfer (FFT) function to the spectral data to generate transformed data.
11. The system of claim 10 wherein the processor analyzes a relative height of one or more peaks of the transformed data.
12. The system of claim 10 wherein the processor analyzes the transformed data to determine a local minimum, and wherein the local minimum identifies an optimal coupling efficiency.
13. The system of claim 10 wherein the processor analyzes the transformed data to determine a local maximum, and wherein the local maximum identifies a suboptimal coupling efficiency.
14. The system of claim 7 wherein the energy beam is a laser and the workpiece comprises a bed of metallic powder.
15. A method of operating an additive manufacturing system, the method comprising:
directing an energy beam on to a powder bed to generate a molten region within the powder bed;
receiving spectral data from the molten region via a thermal sensor;
analyzing the spectral data to determine a coupling efficiency of the energy beam to the powder bed; and
communicating the coupling efficiency to a human machine interface.
16. The system of claim 15 wherein the thermal sensor is an optical pyrometer.
17. The system of claim 15 wherein the spectral data is analyzed by applying a fast fourier transfer (FFT) function to the spectral data to generate transformed data.
18. The system of claim 17 wherein the analyzing the spectral data includes determining a relative height of one or more peaks of the transformed data.
19. The system of claim 17 wherein the analyzing the spectral data includes determining a local minimum in the transformed data, and wherein the local minimum identifies an optimal coupling efficiency.
20. The system of claim 17 wherein the analyzing the spectral data includes determining a local maximum in the transformed data, and wherein the local maximum identifies a suboptimal coupling efficiency.