Apparatus and methods for controlled validation of additive manufacturing systems

US11548219B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11548219-B2
Application numberUS-202117315899-A
CountryUS
Kind codeB2
Filing dateMay 10, 2021
Priority dateMay 15, 2020
Publication dateJan 10, 2023
Grant dateJan 10, 2023

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

Official abstract text for this publication.

A method of improving production performance of an additive manufacturing system includes obtaining a first production plan and a second production plan, different from the first production plan, for the manufacture of a plurality of objects using a fleet of additive manufacturing apparatus, automatically generating a first allocation of a first quantity of the plurality of objects to the fleet of additive manufacturing apparatus using the first production plan, automatically generating a second allocation of a second quantity of the plurality of objects to the fleet of additive manufacturing apparatus using the second production plan, comparing a production performance of the first and second quantity of the plurality of objects after being manufactured by the fleet of additive manufacturing apparatus, and based on the comparison of the production performance, automatically regenerating the first and second allocations to change the first and second quantities.

First claim

Opening claim text (preview).

The invention claimed is: 1. A method of improving production performance for a batch of objects being made by additive manufacturing, comprising: (a) providing: (i) a fleet of additive manufacturing apparatus on which said batch of said objects are produced, and (ii) a current production plan for said objects that is implemented on each individual apparatus in said fleet; (b) providing a proposed production plan for said objects; (c) randomly distributing a first and second group of print jobs for said batch of said objects among said fleet of additive manufacturing apparatus, with the first group to be produced by said current production plan and comprising X percent of total print jobs, and with the second group to be produced by said proposed production plan and comprising 100-X percent of the total print jobs; (d) assigning a unique identifier to each of said objects in said first and second group of print jobs; (e) producing said objects of said first and second group on said fleet of additive manufacturing apparatus; (f) comparing a production performance of said first and second groups of print jobs based on (i) at least one predetermined performance characteristic and (ii) the unique identifier assigned to each of said objects; and then (g) if the production performance of said second group exceeds that of said first group, producing a subsequent batch of said objects on said fleet of additive manufacturing apparatus, with a greater proportion of said objects, or all of said objects, produced by said proposed production plan than by said current production plan. 2. The method of claim 1 , wherein said step (g) is carried out by: repeating steps (c) through (f) at least once with X reduced, until either X is reduced to zero, or no production performance improvement for said proposed production plan is found. 3. The method of claim 1 , wherein said proposed production plan is algorithmically generated from said current production plan. 4. The method of claim 1 , wherein each of said objects in said first and second groups are produced free of any indicia of the group to which they belong so that said comparing step (f) is carried out blind based on the unique identifier of each of said objects. 5. The method of claim 1 , wherein: said proposed production plan comprises a process change; multiple copies of said objects are produced simultaneously on each additive manufacturing apparatus in said fleet; objects produced simultaneously on each individual additive manufacturing apparatus in said fleet are in the same group; and multiple runs of said objects are produced on each individual additive manufacturing apparatus, with said objects of subsequent runs belonging to either a different group, or a randomly assigned group, as compared said the objects in a preceding run on that additive manufacturing apparatus. 6. The method of claim 1 , wherein said proposed production plan comprises a product feature change; and each individual additive manufacturing apparatus in said fleet is randomly assigned print jobs from both groups. 7. The method of claim 1 , wherein said producing step (e) and said comparing step (f) are both carried out until a predetermined threshold of production performance improvement is reached. 8. The method of claim 1 , wherein said fleet of additive manufacturing apparatus each produce said objects by light polymerization of a resin, and said resin is provided to said additive manufacturing apparatus from a plurality of separate resin lots. 9. A print queuing system for a batch of objects being made by additive manufacturing, comprising: a processor; and a memory coupled to the processor and comprising computer readable program code that when executed by the processor causes the processor to perform operations comprising: (a) providing: (i) a fleet of additive manufacturing apparatus on which a batch of said objects are produced, and (ii) a current production plan for said objects that is implemented on each individual apparatus in said fleet; (b) providing a proposed production plan for said object; (c) randomly distributing a first and second group of print jobs for said batch of objects among said fleet of additive manufacturing apparatus, with the first group to be produced by said current production plan and comprising X percent of total print jobs, and with the second group to be produced by said proposed production plan and comprising 100-X percent of total print jobs; (d) assigning a unique identifier to each said object in said first and second group of print jobs; (e) producing said objects of said first and second group on said fleet of additive manufacturing apparatus; (f) receiving a comparison result of a comparison between production performance of said first and second groups of print jobs based on (i) at least one predetermined performance characteristic and (ii) the unique identifier assigned to each object; and then (g) if the production performance of said second group exceeds that of said first group, producing a subsequent batch of said objects on said fleet of additive manufacturing apparatus, with a greater proportion of said objects, or all of said objects, produced by said proposed production plan than by said current production plan. 10. A computer program product for improving production performance of an additive manufacturing system, the computer program product comprising a non-transitory computer readable storage medium having computer readable program code embodied in the medium that when executed by at least one processor causes the at least one processor to perform operations comprising the method of claim 1 . 11. The method of claim 1 , wherein the proposed production plan comprises a process change and/or a product feature change from the current production plan. 12. The method of claim 11 , wherein the process change comprises a change to light intensity, exposure time, pre-exposure delay, pump height, curing time, curing intensity, resin heater temperature, oxygen parameters, types of resins, resin flow, and/or resin viscosity. 13. The method of claim 11 , wherein the product feature change comprises lattice dimensions, slice thickness, part scaling, lattice and/or part design. 14. The method of claim 1 , wherein said proposed production plan is a first proposed production plan, the method further comprising: (h) if the production performance of said second group does not exceed that of said first group, producing a subsequent batch of said objects on said fleet of additive manufacturing apparatus, using a second proposed production plan, said second proposed production plan differing from said first proposed production plan. 15. The method of claim 14 , wherein said first proposed production plan comprises a first modification applied to said objects, and said second proposed production plan comprises a second modification applied to said objects. 16. The system of claim 9 , wherein the proposed production plan comprises a process change and/or a product feature change from the current production plan. 17. The system of claim 16 , wherein the process change comprises a change to light intensity, exposure time, pre-exposure delay, pump height, curing time, curing intensity, resin heater temperature, oxygen parameters, types of resins, resin flow, and/or resin viscosity. 18. The system of claim 16 , wherein the product feature change comprises lattice dimensions, slice thickness, part scaling, lattice and/or part design. 19. The system of claim 9 , wherein s

Assignees

Inventors

Classifications

  • Data acquisition or data processing for additive manufacturing · CPC title

  • B29C64/176Primary

    Sequentially · CPC title

  • Data acquisition or data processing for additive manufacturing · CPC title

  • Optimize, process management, optimize production line · CPC title

  • Apparatus for additive manufacturing; Details thereof or accessories therefor · CPC title

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What does patent US11548219B2 cover?
A method of improving production performance of an additive manufacturing system includes obtaining a first production plan and a second production plan, different from the first production plan, for the manufacture of a plurality of objects using a fleet of additive manufacturing apparatus, automatically generating a first allocation of a first quantity of the plurality of objects to the fleet…
Who is the assignee on this patent?
Carbon Inc
What technology area does this patent fall under?
Primary CPC classification B29C64/176. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Jan 10 2023 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 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).