Systems and Methods for Compensating for 3D Shape Deviations in Additive Manufacturing

US2016320771A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016320771-A1
Application numberUS-201615143358-A
CountryUS
Kind codeA1
Filing dateApr 29, 2016
Priority dateApr 29, 2015
Publication dateNov 3, 2016
Grant date

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Abstract

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Methods and systems for predicting deformation error and compensating for shape deviation in Additive Manufacturing (AM) techniques include, in one aspect, a method including: obtaining a deformation model for an AM machine; predicting deformation for the object using the deformation model applied to the 3D model; selecting an amount of deformation compensation to effect by minimizing deviation for the predicted deformation; and providing the selected amount of deformation compensation to modify the 3D model to compensate for deformation during creation by the AM machine.

First claim

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What is claimed is: 1 . A method performed by a computer system comprising processor electronics and at least one memory device, the method comprising: obtaining a deformation model for an additive manufacturing (AM) machine, the deformation model representing deformation in a Spherical Coordinate System (SCS) including a first angular location variable and a second angular location variable, wherein the deformation model includes an in-plane deformation error model defined in a first Polar Coordinate System (PCS) using the first angular location variable from the SCS, and the deformation model includes an out-of-plane deformation error model defined in a second PCS using the second angular location variable from the SCS; receiving a three dimensional (3D) model of an object to be built using the AM machine; predicting deformation for the object using the deformation model applied to the 3D model, wherein the predicting comprises calculating for a given point on the 3D model separate in-plane and out-of-plane error components using the respective in-plane deformation error model and out-of-plane deformation error model; selecting an amount of deformation compensation to effect by minimizing deviation for the predicted deformation; and providing the selected amount of deformation compensation to modify the 3D model to compensate for deformation during creation by the AM machine. 2 . The method of claim 1 , wherein obtaining the deformation model for an additive manufacturing machine comprises: obtaining data associated with the AM machine during creation of one or more standard calibration parts. 3 . The method of claim 1 , wherein the deformation model for an AM machine is generated using a cookie-cutter model to trim a polygon from a cylinder. 4 . The method of claim 3 , wherein the deformation model for an AM machine is generated using a library of cookie-cutter models including a square wave model and a sawtooth wave model. 5 . The method of claim 1 , wherein the minimizing deviation for the predicted deformation comprises minimizing an area deviation in the first PCS. 6 . The method of claim 5 , wherein the minimizing an area deviation in the first PCS comprises calculating a minimized value corresponding to a total absolute area deviation. 7 . The method of claim 1 , wherein the minimizing deviation for the predicted deformation comprises calculating an amount of compensation that is equivalent to an area deviation in the first PCS. 8 . The method of claim 1 , wherein the minimizing deviation for the predicted deformation comprises minimizing volume deviation in the SCS. 9 . The method of claim 8 , wherein providing the selected amount of deformation compensation to modify the 3D model comprises applying an in-plane deformation compensation to a 3D model layer-by-layer. 10 . A system comprising: an additive manufacturing (AM) machine; and one or more computing devices coupled with the AM machine and programmed to (i) obtain a deformation model for the AM machine, the deformation model representing deformation in a Spherical Coordinate System (SCS) including a first angular location variable and a second angular location variable, wherein the deformation model includes an in-plane deformation error model defined in a first Polar Coordinate System (PCS) using the first angular location variable from the SCS, and the deformation model includes an out-of-plane deformation error model defined in a second PCS using the second angular location variable from the SCS; (ii) receive a three dimensional (3D) model of an object to be built using the AM machine; (iii) predict deformation for the object using the deformation model applied to the 3D model, wherein the predicting comprises calculating for a given point on the 3D model separate in-plane and out-of-plane error components using the respective in-plane deformation error model and out-of-plane deformation error model; (iv) select an amount of deformation compensation to effect by minimizing volume deviation in the SCS for the predicted deformation; and (v) provide the selected amount of deformation compensation to modify the 3D model to compensate for deformation during creation by the AM machine.

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Classifications

  • Shaping techniques not covered by groups B29C39/00 - B29C65/00, B29C70/00 or B29C73/00 · CPC title

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

  • 3-D printing, layer of powder, add drops of binder in layer, new powder · CPC title

  • Surface or curve machining, making three-dimensional [3D] objects, e.g. desktop manufacturing · CPC title

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

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What does patent US2016320771A1 cover?
Methods and systems for predicting deformation error and compensating for shape deviation in Additive Manufacturing (AM) techniques include, in one aspect, a method including: obtaining a deformation model for an AM machine; predicting deformation for the object using the deformation model applied to the 3D model; selecting an amount of deformation compensation to effect by minimizing deviation…
Who is the assignee on this patent?
Univ Southern California
What technology area does this patent fall under?
Primary CPC classification G05B19/4099. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Nov 03 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).