Real-time molten droplet analyzer with spatial modulation in additive manufacturing

US12121971B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12121971-B2
Application numberUS-202217984124-A
CountryUS
Kind codeB2
Filing dateNov 9, 2022
Priority dateNov 9, 2022
Publication dateOct 22, 2024
Grant dateOct 22, 2024

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Techniques for determining characteristics of a stream of jetted material in a three-dimensional (3D) printer are disclosed. An example system includes an ejector configured to release molten droplets along a jetting path from the ejector to a build platform. The system also includes an optical sensor positioned adjacent to the jetting path and configured to generate an electrical signal in response to light emanating from the molten droplets. The system also includes an optical mask positioned adjacent to the jetting path. The optical mask includes light-blocking regions and light-passing regions to modulate the electrical signal generated by the optical sensor. The system also includes one or more processing devices to receive the electrical signal from the optical sensor, process the electrical signal to identify characteristics of the molten droplets, and control the 3D printer based on the characteristics. The characteristics include an estimated temperature of the molten droplets.

First claim

Opening claim text (preview).

What is claimed is: 1. A three-dimensional (3D) printer, comprising: an ejector configured to release molten droplets along a jetting path from the ejector to a build platform; an optical sensor positioned adjacent to the jetting path and configured to generate an electrical signal in response to light emanating from the molten droplets; an optical mask positioned adjacent to the jetting path wherein the optical mask comprises a plurality of regions comprising light-blocking regions and light-passing regions configured to modulate the electrical signal generated by the optical sensor as the molten droplets travel along the jetting path; one or more processing devices to: receive the electrical signal from the optical sensor; process the electrical signal to identify one or more characteristics of the molten droplets, wherein the one or more characteristics comprise an estimated temperature of the molten droplets; and control the 3D printer based on the one or more characteristics. 2. The 3D printer of claim 1 , wherein the light emitted by the molten droplets is infrared light, and wherein the light-blocking regions block infrared light and the light-passing regions pass infrared light. 3. The 3D printer of claim 1 , wherein the light emanating from the molten droplets is emitted by the molten droplets without an external light source. 4. The 3D printer of claim 1 , wherein the plurality of regions comprises a first region selective for a first range of optical frequencies and a second region selective for a second range of optical frequencies different from the first range, and wherein the estimated temperature is determined based on signal amplitude differences caused by the first region and the second region. 5. The 3D printer of claim 1 , further comprising an infrared lens to focus the light emanating from the molten droplets onto the optical mask. 6. The 3D printer of claim 1 , wherein the plurality of regions encode, into the first electrical signal, droplet temperature information and at least one of droplet size information, droplet speed information, or droplet trajectory information. 7. The 3D printer of claim 1 , wherein the optical sensor is a first optical sensor and the optical mask is a first optical mask, the 3D printer further comprising: a second optical sensor positioned adjacent to the jetting path and configured to generate a second electrical signal in response to light emanating from the molten droplets; and a second optical mask positioned adjacent to the jetting path wherein the second optical mask encodes different information into the second electrical signal compared to the first optical mask. 8. The 3D printer of claim 7 , wherein the first optical mask encodes temperature information of a first temperature range into the first electrical signal, and the second optical mask encodes temperature information of a second temperature range into the second electrical signal. 9. The 3D printer of claim 7 , wherein the first optical mask encodes droplet size information of a first size range into the first electrical signal, and the second optical mask encodes droplet size information of a second size range into the second electrical signal. 10. The 3D printer of claim 1 , wherein to control the 3D printer based on the one or more characteristics, comprises to adjust a power provided to a heating element of the 3D printer based on the estimated temperature of the molten droplets. 11. A method of sensing characteristics of a stream of jetted material in a 3D printer, the method comprising: ejecting molten droplets along a jetting path from an ejector to a build platform; sensing light emanating from the molten droplets to generate an electrical signal corresponding to the light emanating from the molten droplets; encoding information in the light emitted by the molten droplets using an optical mask positioned adjacent to the jetting path, wherein the optical mask comprises a plurality of regions comprising light-blocking regions and light-passing regions configured to modulate the electrical signal as the molten droplets travel along the jetting path; analyzing, by a processing device, the electrical signal to identify one or more characteristics of the molten droplets, wherein the one or more characteristics comprise an estimated temperature of the molten droplets; and controlling the 3D printer based on the one or more characteristics. 12. The method of claim 11 , wherein the light emanating from the molten droplets is infrared light, and wherein the light-blocking regions block infrared light and the light passing regions pass infrared light. 13. The method of claim 11 , wherein the light emanating from the molten droplets is emitted by the molten droplets without an external light source. 14. The method of claim 11 , wherein the plurality of regions comprises a first region selective for a first range of optical frequencies and a second region selective for a second range of optical frequencies different from the first range, wherein the estimated temperature is determined based on signal amplitude differences caused by the first region and the second region. 15. The method of claim 11 , wherein the plurality of regions encode, into the electrical signal, droplet temperature information and at least one of droplet size information, droplet speed information, or droplet trajectory information. 16. The method of claim 11 , wherein controlling the 3D printer based on the one or more characteristics, comprises adjusting a power provided to a heating element of the 3D printer based on the estimated temperature of the molten droplets. 17. A non-transitory computer-readable storage medium having instructions stored thereon that, when executed by a processing device, cause the processing device to: receive an electrical signal generated by a sensor positioned adjacent to a jetting path of a 3D printer, wherein the electrical signal is generated in response to light emanating from molten droplets as they pass adjacent to an optical mask positioned adjacent to the jetting path; analyze the electrical signal to identify one or more characteristics of the molten droplets encoded into the electrical signal by the optical mask, wherein the one or more characteristics comprise an estimated temperature of the molten droplets; and control the 3D printer based on the one or more characteristics. 18. The non-transitory computer-readable storage medium of claim 17 , wherein the optical mask comprises a first region selective for a first range of optical frequencies and a second region selective for a second range of optical frequencies different from the first range, wherein to analyze the electrical signal comprises to determine the estimated temperature based on signal amplitude differences caused by the first region and the second region. 19. The non-transitory computer-readable storage medium of claim 17 , wherein the one or more characteristics further comprise at least one of droplet size information, droplet speed information, or droplet trajectory information. 20. The non-transitory computer-readable storage medium of claim 17 , wherein to control the 3D printer based on the one or more characteristics, comprises to adjust a power provided to a heating element of the 3D printer based on the estimated temperature of the molten droplets.

Assignees

Inventors

Classifications

  • Reproducing apparatus · CPC title

  • Calculating or estimating · CPC title

  • Analysis, i.e. separating and studying components of a greater whole · CPC title

  • Diagnosis, i.e. identifying a problem by comparison with a normal state · CPC title

  • Adjusting or controlling (interrupting an operation H04N1/00915; inhibiting an operation H04N1/00925) · CPC title

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What does patent US12121971B2 cover?
Techniques for determining characteristics of a stream of jetted material in a three-dimensional (3D) printer are disclosed. An example system includes an ejector configured to release molten droplets along a jetting path from the ejector to a build platform. The system also includes an optical sensor positioned adjacent to the jetting path and configured to generate an electrical signal in res…
Who is the assignee on this patent?
Palo Alto Res Ct Inc, Xerox Corp
What technology area does this patent fall under?
Primary CPC classification B33Y10/00. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Oct 22 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 6 related publications on this page (citations in our corpus or others sharing the same primary CPC).