Using pyrometry to identify porosity in additively manufactured structures

Patent metadata

Field	Value
Publication number	US-11623408-B2
Application number	US-202016817340-A
Country	US
Kind code	B2
Filing date	Mar 12, 2020
Priority date	Dec 18, 2019
Publication date	Apr 11, 2023
Grant date	Apr 11, 2023

Abstract

A method and apparatus for identifying porosity in a structure made by an additive manufacturing process in which a laser is scanned across layers of material to form the structure. Pyrometry data comprising images of the layers acquired during additive manufacturing of the structure is received. The pyrometry data is used to generate temperature data comprising estimated temperatures of points in the layers in the images of the layers. The temperature data is used to identify shapes fit to high temperature areas in the images of the layers. Conditions of the shapes fit to the high temperature areas in the images of the layers are identified. Outlier shapes are identified in the shapes fit to the high temperature areas in the images of the layers using the conditions of the shapes.

First claim

What is claimed is:

1. A method of identifying porosity in a structure made by an additive manufacturing process in which a laser is scanned across layers of material to form the structure, comprising:
receiving pyrometry data comprising images of the layers acquired during additive manufacturing of the structure;
using the pyrometry data to generate temperature data comprising estimated temperatures of points in the layers in the images of the layers;
using the temperature data, identifying shapes fit to high temperature areas in the images of the layers;
identifying conditions of the shapes fit to the high temperature areas in the images of the layers;
identifying outlier shapes using the conditions of the shapes, wherein identifying the outlier shapes using the conditions of the shapes comprises:
determining a distribution of the shapes based on an aspect ratio and an orientation of the shapes; and
identifying the outlier shapes as shapes having fewer than a selected number of neighbors within a selected distance in the distribution.

2. The method of claim 1 , wherein the pyrometry data comprises two-color pyrometry data.

3. The method of claim 1 further comprising, before using the pyrometry data to generate the temperature data, removing images from the pyrometry data that are acquired when the laser is off.

4. The method of claim 3 , wherein removing images from the pyrometry data that are acquired when the laser is off comprises:
setting a minimum threshold value on the pyrometry data; and
for each image in the images, determining whether a highest value of the pyrometry data for the image is less than the minimum threshold value and removing the image from the pyrometry data in response to a determination that the highest value of the pyrometry data for the image is less than the minimum threshold value.

5. The method of claim 1 further comprising, before using the pyrometry data to generate the temperature data, subtracting a static background noise profile from the pyrometry data.

6. The method of claim 1 , wherein identifying the shapes fit to the high temperature areas in the images of the layers comprises:
using the temperature data, identifying closed contours around the high temperature areas in the images of the layers; and
identifying the shapes fit to the closed contours around the high temperature areas in the images of the layers.

7. The method of claim 1 , wherein the shapes fit to the high temperature areas in the images of the layers comprise ellipses.

8. The method of claim 1 further comprising using the identified outlier shapes to identify voids in the structure.

9. The method of claim 1 further comprising using the identified outlier shapes to change the additive manufacturing process.

10. A method of identifying porosity in a structure made by an additive manufacturing process in which a laser is scanned across layers of material to form the structure, comprising:
receiving pyrometry data comprising images of the layers acquired during additive manufacturing of the structure;
using the pyrometry data to generate temperature data comprising estimated temperatures of points in the layers in the images of the layers;
using the temperature data, identifying ellipses fit to high temperature areas in the images of the layers;
identifying outlier ellipses in the ellipses fit to the high temperature areas in the images of the layers using conditions of the ellipses, wherein identifying the outlier ellipses using the conditions of the ellipses comprises:
determining a distribution of the ellipses based on an aspect ratio and an orientation of the ellipses; and
identifying the outlier ellipses as shapes having fewer than a selected number of neighbors within a selected distance in the distribution; and
using the identified outlier ellipses to identify voids in the structure.

11. A system for identifying porosity in a structure made by an additive manufacturing process in which a laser is scanned across layers of material to form the structure, comprising:
a receiver configured to receiving pyrometry data comprising images of the layers acquired during additive manufacturing of the structure;
a temperature estimator configured to use the pyrometry data to generate temperature data comprising estimated temperatures of points in the layers in the images of the layers;
a shape identifier configured to use the temperature data to identify shapes fit to high temperature areas in the images of the layers;
an outlier identifier configured to identify outlier shapes in the shapes fit to the high temperature areas using conditions of the shapes;
an average conditions identifier configured to determine a distribution of the shapes based on an aspect ratio and an orientation of the shapes; and
wherein the outlier identifier is configured to identify the outlier shapes as shapes having fewer than a selected number of neighbors within a selected distance in the distribution.

12. The system of claim 11 , wherein the pyrometry data comprises two-color pyrometry data received from a two-color pyrometer.

13. The system of claim 11 further comprising an image filter configured to remove images from the pyrometry data that are acquired when the laser is off before using the pyrometry data to generate the temperature data.

14. The system of claim 11 further comprising a noise subtractor configured to subtract a static background noise profile from the pyrometry data before using the pyrometry data to generate the temperature data.

15. The system of claim 11 , wherein the shape identifier is configured to:
use the temperature data to identify closed contours around the high temperature areas in the images of the layers; and
identify the shapes fit to the closed contours around the high temperature areas in the images of the layers.

16. The system of claim 11 , wherein the shapes fit to the high temperature areas in the images of the layers comprise ellipses.

17. The system of claim 11 further comprising a void identifier configured to use the identified outlier shapes to identify voids in the structure.

18. The system of claim 11 further comprising a process controller interface configured to use the identified outlier shapes to change the additive manufacturing process.

Assignees

• Nat Tech & Eng Solutions Sandia Llc

Inventors

• Mitchell John A

Classifications

• G01J5/0801

  Means for wavelength selection or discrimination · CPC title

• Y02P10/25

  Process efficiency · CPC title

• G01N15/088

  Investigating volume, surface area, size or distribution of pores; Porosimetry · CPC title

• B29C64/386

  Data acquisition or data processing for additive manufacturing · CPC title

• G01N2015/0846

  by use of radiation, e.g. transmitted or reflected light · CPC title