IP Library Granted Patent US 12,019,026
Granted Patent B2
US 12,019,026 · App. 18/136,750 · Granted Jun 25, 2024

Systems and methods for additive manufacturing operations

Inventors: Vivek R. Dave (Concord, NH); Mark J. Cola (Santa Fe, NM); R. Bruce Madigan (Butte, MT); Alberto Castro (Santa Fe, NM); Glenn Wikle (Santa Fe, NM); Lars Jacquemetton (Santa Fe, NM); Peter Campbell (Albuquerque, NM)
Assignee: DIVERGENT TECHNOLOGIES, INC.
G01N21/71B33Y30/00B33Y50/00G01N21/00H01L22/12G01N2021/8411G06N20/00
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Quick Facts
Patent No.
US 12,019,026
App. No.
18/136,750
Granted
Jun 25, 2024
Kind
B2
Abstract

This disclosure describes various system and methods for monitoring photons emitted by a heat source of an additive manufacturing device. Sensor data recorded while monitoring the photons can be used to predict metallurgical, mechanical and geometrical properties of a part produced during an additive manufacturing operation. In some embodiments, a test pattern can be used to calibrate an additive manufacturing device.

Claims (39)

1. A method for operating an additive manufacturing system, the method comprising:

controlling an energy beam of the additive manufacturing system to scan across a build region of a powder bed using a plurality of discrete scan paths, wherein each discrete scan path has a respective path length;

detecting photons emitted from the build region of the powder bed during each discrete scan path using an optical sensor that generates corresponding sensor data;

determining an average intensity of each discrete scan path using the sensor data;

generating a relationship between the average intensity of each discrete scan path and a length of each corresponding discrete scan path; and

comparing the relationship to a baseline relationship.

2. The method of claim 1 , further comprising changing an operating parameter of the additive manufacturing system in response to the comparing.

3. The method of claim 1 , further comprising calibrating the additive manufacturing system in response to the comparing.

4. The method of claim 1 , wherein the relationship includes a best fit line.

5. The method of claim 1 , wherein the plurality of discrete scan paths are related to a single layer of a part.

6. The method of claim 1 , wherein the plurality of discrete scan paths include all discrete scan paths for a part.

7. The method of claim 1 , wherein the length of each corresponding discrete scan path is derived from the sensor data.

8. The method of claim 1 , wherein the baseline relationship includes an average intensity of a plurality of discrete scan paths and a length of each corresponding discrete scan paths.

9. The method of claim 1 , wherein the baseline relationship is derived from manufacturing a part on the additive manufacturing system.

10. The method of claim 1 , wherein the additive manufacturing system is a first additive manufacturing system, and wherein the baseline relationship is derived from manufacturing a part on a second additive manufacturing system.

11. A method for operating a manufacturing system, the method comprising:

depositing a layer of powder on a build region of a powder bed;

fusing at least a portion of the layer of powder to form a layer of a part by moving a laser beam of the manufacturing system across the build region in plurality of discrete scan paths, wherein each discrete scan path has a respective path length;

detecting photons emitted from the build region of the powder bed during each discrete scan path using a sensor that generates corresponding sensor data;

determining an average intensity for each discrete scan path using the sensor data;

generating a correlation between the average intensity of each discrete scan path and a length of each corresponding discrete scan path; and

comparing the correlation to a baseline correlation.

12. The method of claim 11 , further comprising changing an operating parameter of the manufacturing system in response to the comparing.

13. The method of claim 11 , further comprising calibrating the manufacturing system in response to the comparing.

14. The method of claim 11 , wherein the correlation includes a best fit line between the average intensity of each discrete scan path and the length of each corresponding discrete scan path.

15. The method of claim 11 , wherein the length of each corresponding discrete scan path is derived from the sensor data.

16. The method of claim 11 , wherein the baseline correlation includes an average intensity of a plurality of discrete scan paths and a length of each corresponding discrete scan paths for a layer of a part.

17. The method of claim 11 , wherein the manufacturing system is a first additive manufacturing system, and wherein the baseline correlation is derived from manufacturing a layer of a part on a second additive manufacturing system.

18. An additive manufacturing system comprising:

a powder bed including a mechanism arranged to spread a layer of powder across a build region of the powder bed;

an energy source configured to fuse at least a portion of the layer of powder to form a layer of a part, wherein a beam from the energy source is moved across the build region of the powder bed in a plurality of discrete scan paths, and wherein each discrete path has a respective path length;

a sensor arranged to receive data from a region encompassing the powder bed; and

a computing system configured to:

receive data from the sensor during each discrete scan path;

determine an intensity for each discrete scan path;

generate a correlation between the intensity for each discrete scan path and a length of each corresponding discrete scan path; and

compare the correlation to a baseline correlation.

19. The additive manufacturing system of claim 18 , wherein the computer system is further configured to determine an average intensity for each discrete scan path.

20. The additive manufacturing system of claim 18 , wherein the baseline correlation is for a layer of the part formed on the additive manufacturing system.

Assignments (8)
SECURITY INTEREST Recorded Sep 3, 2025
From: ROCHEFORT MANAGEMENT LLC
To: ACQUIOM AGENCY SERVICES LLC
Reel/Frame 073006/0590 →
SECURITY INTEREST Recorded Jan 30, 2025
From: DIVERGENT TECHNOLOGIES, INC.; CZV, INC.
To: ROCHEFORT MANAGEMENT LLC
Reel/Frame 070074/0290 →
RELEASE OF SECURITY INTEREST Recorded Jan 29, 2025
From: WESTERN ALLIANCE BANK
To: DIVERGENT TECHNOLOGIES, INC.
Reel/Frame 070048/0543 →
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNOR'S NAME PREVIOUSLY RECORDED AT REEL: 66365 FRAME: 316. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jun 28, 2024
From: SIGMA ADDITIVE SOLUTIONS, INC.
To: DIVERGENT TECHNOLOGIES, INC.
Reel/Frame 070967/0699 →
SECURITY INTEREST Recorded May 30, 2024
From: DIVERGENT TECHNOLOGIES, INC.
To: WESTERN ALLIANCE BANK
Reel/Frame 067569/0171 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 24, 2024
From: SIGMA LABS, INC.
To: DIVERGENT TECHNOLOGIES, INC.
Reel/Frame 066365/0316 →
CHANGE OF NAME Recorded Aug 11, 2023
From: SIGMA LABS, INC.
To: SIGMA ADDITIVE SOLUTIONS, INC.
Reel/Frame 064572/0425 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 11, 2023
From: DAVE, VIVEK R.; COLA, MARK J.; MADIGAN, R. BRUCE; CASTRO, ALBERTO; WIKLE, GLENN; JACQUEMETTON, LARS; CAMPBELL, PETER
To: SIGMA LABS, INC.
Reel/Frame 064565/0222 →
Continuity (5)
Continuation 16915858 · Jun 29, 2020
Continuation 16234333 · Dec 27, 2018
Continuation 15282822 · Sep 30, 2016
Provisional Application 62235232 · Sep 30, 2015
Related Publication 20240085336A1 · Mar 14, 2024
Cited By (1)
US 12,366,445