Characterizing meniscus behavior in 3D liquid metal printing

Patent metadata

Field	Value
Publication number	US-11724441-B2
Application number	US-202117314989-A
Country	US
Kind code	B2
Filing date	May 7, 2021
Priority date	May 7, 2021
Publication date	Aug 15, 2023
Grant date	Aug 15, 2023

Abstract

A 3D printer includes a nozzle and a camera configured to capture an image, a video, or both of a plurality of drops of liquid metal being jetted through the nozzle. The 3D printer also includes a computing system configured to measure a signal proximate to the nozzle based at least partially upon the image, the video, or both. The computing system is also configured to determine one or more metrics that characterize a behavior of the drops based at least partially upon the signal.

First claim

What is claimed is:

1. A 3D printer, comprising:
a nozzle;
a camera configured to capture an image, a video, or both of a liquid metal being jetted through the nozzle; and
a computing system configured to:
measure a signal proximate to the nozzle based at least partially upon the image, the video, or both; and
determine a meniscus oscillation frequency of the liquid metal in the nozzle based at least partially upon the signal.

2. The 3D printer of claim 1 , wherein the computing system is further configured to predict a jetting quality of the 3D printer based at least partially upon the meniscus oscillation frequency.

3. The 3D printer of claim 1 , wherein the computing system is further configured to predict a stability of drops of the liquid metal based at least partially upon the meniscus oscillation frequency.

4. The 3D printer of claim 1 , wherein the computing system is further configured to adjust a parameter of the 3D printer based at least partially upon the meniscus oscillation frequency.

5. The 3D printer of claim 4 , wherein the parameter comprises a current, a voltage, a pulse length, a voltage versus time waveform, or a combination thereof provided to a coil of the 3D printer that causes the liquid metal to be jetted through the nozzle.

6. The 3D printer of claim 4 , wherein the parameter comprises a frequency at which the liquid metal is jetted through the nozzle.

7. A 3D printer configured to print a 3D object, the 3D printer comprising:
a nozzle;
a camera configured to capture a video of a liquid metal being jetted through the nozzle; and
a computing system configured to:
determine a signal at a location of the nozzle in the video;
determine a plurality of pulse periods based at least partially upon the signal, wherein each pulse period comprises a portion of the signal between two consecutive drops of the liquid metal after being ejected from the nozzle;
generate a pulse-averaged signal based at least partially upon the plurality of pulse periods;
generate an amplitude envelope based at least partially upon the pulse-averaged signal;
generate a meniscus carrier signal based at least partially upon the pulse-averaged signal, the amplitude envelope, or both; and
determine a meniscus oscillation frequency of the liquid metal in the nozzle based at least partially upon the meniscus carrier signal.

8. The 3D printer of claim 7 , wherein generating the amplitude envelope comprises moving a sliding temporal window over the pulse-averaged signal, and wherein the amplitude envelope comprises a difference between local maxima and minima over the sliding temporal window.

9. The 3D printer of claim 7 , wherein generating the meniscus carrier signal comprises:
normalizing the pulse-averaged signal to zero mean to produce a normalized pulse-averaged signal; and
dividing the normalized pulse-averaged signal by the envelope amplitude to generate the meniscus carrier signal, wherein the meniscus carrier signal is in a time domain.

10. The 3D printer of claim 7 , wherein determining the meniscus oscillation frequency comprises:
converting the meniscus carrier signal from a time domain to a frequency domain; and
locating a peak of the meniscus carrier signal in the frequency domain.

11. The 3D printer of claim 7 , wherein the computing system is further configured to adjust a parameter of the 3D printer based at least partially upon the meniscus oscillation frequency.

12. A 3D printer configured to print a 3D object by jetting a plurality of drops of a liquid metal of onto a substrate, the 3D printer comprising:
an ejector comprising a nozzle;
a heating element configured to heat a solid metal within the ejector, thereby converting the solid metal to the liquid metal;
a coil wrapped at least partially around the ejector;
a power source configured to transmit voltage pulses to the coil, wherein the coil causes the plurality of drops of the liquid metal to be jetted through the nozzle in response to the voltage pulses;
a camera configured to capture a video of the liquid metal being jetted through the nozzle;
a light source configured to illuminate the nozzle and the liquid metal as the video is captured; and
a computing system configured to:
determine a location of the nozzle in the video;
determine a signal at the location of the nozzle in the video;
determine when the drops are ejected from the nozzle by:
identifying a neighboring location proximate to the location of the nozzle;
determining a second signal at the neighboring location; and
determining that the drops are ejected from the nozzle in response to increases in the second signal, which indicates that the drops have been ejected from the nozzle and are passing through the neighboring location;

determine a plurality of pulse periods based at least partially upon the determination of when the drops are ejected from the nozzle, wherein each pulse period comprises a portion of the signal between two consecutive drops of the plurality of drops;
generate a pulse-averaged signal by aligning and averaging the plurality of pulse periods;
generate an amplitude envelope by moving a sliding temporal window over the pulse-averaged signal, wherein the amplitude envelope comprises a difference between local maxima and minima over the sliding temporal window;
generate a meniscus carrier signal by:
normalizing the pulse-averaged signal to zero mean to produce a normalized pulse-averaged signal; and
dividing the normalized pulse-averaged signal by the envelope amplitude to generate the meniscus carrier signal, wherein the meniscus carrier signal is in a time domain;

determine a meniscus oscillation frequency of the liquid metal positioned at least partially within in the nozzle by:
converting the meniscus carrier signal from the time domain to a frequency domain; and
locating a peak of the meniscus carrier signal in the frequency domain; and

adjust a parameter of the 3D printer based at least partially upon the meniscus oscillation frequency.

13. The 3D printer of claim 12 , wherein adjusting the parameter comprises adjusting an amplitude of the voltage pulses transmitted to the coil.

14. The 3D printer of claim 12 , wherein adjusting the parameter comprises adjusting a frequency of the voltage pulses transmitted to the coil.

15. The 3D printer of claim 12 , wherein adjusting the parameter comprises adjusting a size of the drops.

16. The 3D printer of claim 12 , wherein adjusting the parameter comprises adjusting a temperature of the liquid metal in the ejector.

17. The 3D printer of claim 1 , wherein determining the meniscus oscillation frequency of the liquid metal in the nozzle comprises determining the meniscus oscillation frequency of the liquid metal in the nozzle before the liquid metal is ejected from the nozzle as a plurality of drops.

Assignees

• Palo Alto Res Ct Inc
• Xerox Corp

Inventors

• Bala Raja
• Gopalkrishna Vijay Kumar Baikampady
• Ramesh Palghat
• Mantell David Allen
• Gulvin Peter Michael
• Cellura Mark A

Classifications

• B29C64/112 Primary

  using individual droplets, e.g. from jetting heads · CPC title

• B22F12/53

  Nozzles · CPC title

• B29C64/209

  Heads; Nozzles · CPC title

• B29C64/295

  Heating elements · CPC title

• B29C64/393

  for controlling or regulating additive manufacturing processes · CPC title