Method for melt pool monitoring using fractal dimensions

Patent metadata

Field	Value
Publication number	US-11020907-B2
Application number	US-201816219474-A
Country	US
Kind code	B2
Filing date	Dec 13, 2018
Priority date	Dec 13, 2018
Publication date	Jun 1, 2021
Grant date	Jun 1, 2021

Abstract

A method of controlling an additive manufacturing process in which a directed energy source is used to selectively melt material to form a workpiece, forming a melt pool in the process of melting, the method comprising: using an imaging apparatus to generate an image of the melt pool comprising an array of individual image elements, the image including a measurement of at least one physical property for each of the individual image elements; from the measurements, mapping a melt pool boundary of the melt pool; computing a fractal dimension of the melt pool; and controlling at least one aspect of the additive manufacturing process with reference to the fractal dimension.

First claim

What is claimed is:

1. A method of controlling an additive manufacturing process in which a directed energy source is used to selectively melt material to form a workpiece, forming a melt pool in the process of melting, the method comprising:
using an imaging apparatus to generate an image of the melt pool comprising an array of individual image elements, the image including a measurement of at least one physical property for each of the individual image elements;
from the measurements, mapping a melt pool boundary of the melt pool;
computing a fractal dimension of the melt pool and evaluating the fractal dimension for indications of a process fault, wherein the fractal dimension exceeding a predetermined limit value indicates a process fault; and
controlling at least one aspect of the additive manufacturing process with reference to the fractal dimension by changing at least one process parameter of the additive manufacturing process in real-time during the forming of the workpiece.

2. The method of claim 1 , wherein the measurement for each of the image elements includes at least one scalar value.

3. The method of claim 1 , wherein the fractal value is computed for a 3-D surface of the melt pool.

4. The method of claim 1 wherein the step of mapping the boundary of the melt pool includes:
establishing a threshold value;
comparing the measurement for each of the image elements to the threshold value; and
defining each of the image elements which matches the threshold value to constitute a portion of the melt pool boundary.

5. The method of claim 4 , wherein the threshold value is a range having predetermined upper and lower boundaries.

6. The method of claim 1 , wherein the fractal dimension is used as an input into a statistical process control method for the additive manufacturing process.

7. The method of claim 1 , wherein the fractal dimension is used to create populations of unfaulted and faulted process states.

8. The method of claim 7 , wherein the fractal dimension of current process is assigned to the populations of unfaulted and faulted process through a multiple model hypothesis test framework.

9. The method of claim 1 wherein the step of controlling includes taking a discrete action in response to the fractal dimension indicating a process fault.

10. The method of claim 9 wherein the discrete action is stopping the additive manufacturing process.

11. The method of claim 9 wherein the discrete action is providing a visual or audible alarm to a local or remote operator.

12. The method of claim 1 wherein the controlled process parameter includes at least one of: directed energy source power level and beam scan velocity.

13. The method of claim 1 , further comprising:
computing a ratio of the fractal dimension to measured melt pool intensity; and
controlling the additive manufacturing process with reference to the computed ratio.

14. A method of making a workpiece, comprising:
depositing a material in a build chamber;
directing a build beam from a directed energy source to selectively fuse the material in a pattern corresponding to a cross-sectional layer of the workpiece, wherein a melt pool is formed by the directed energy source;
using an imaging apparatus to generate an image of the melt pool comprising an array of individual image elements, the image including a measurement of at least one physical property for each of the individual image elements;
from the measurements, mapping a melt pool boundary of the melt pool;
computing a fractal dimension of the melt pool and evaluating the fractal dimension for indications of a process fault, wherein the fractal dimension exceeding a predetermined limit value indicates a process fault; and
controlling at least one aspect of making the workpiece with reference to the fractal dimension by changing at least one process parameter of a process of making the workpiece in real-time during the making of the workpiece.

15. The method of claim 14 , wherein the fractal dimension is used as an input into a statistical process control method for the additive manufacturing process.

16. The method of claim 14 , wherein the fractal dimension is used to create populations of unfaulted and faulted process states.

17. The method of claim 1 , wherein the fractal dimension is used to monitor a condition or health of a machine used in the process of making the workpiece.

18. The method of claim 14 , wherein the fractal dimension is used to monitor a condition or health of a machine used in the additive manufacturing process.

Assignees

• Gen Electric

Inventors

• Spears Thomas Graham

Classifications

• G06T7/74 Primary

  involving reference images or patches · CPC title

• B33Y10/00 Primary

  Processes of additive manufacturing · CPC title

• B22F12/90

  Means for process control, e.g. cameras or sensors · CPC title

• B22F12/44

  characterised by the configuration of the radiation means · CPC title

• B22F10/85

  for controlling or regulating additive manufacturing processes · CPC title