Homogenization of material properties in additively manufactured structures

Patent metadata

Field	Value
Publication number	US-10353378-B2
Application number	US-201615240689-A
Country	US
Kind code	B2
Filing date	Aug 18, 2016
Priority date	Aug 18, 2016
Publication date	Jul 16, 2019
Grant date	Jul 16, 2019

Abstract

A method for estimating a material characteristic of an article includes receiving a material property tensor having an associated reference direction. A tool path model of an additive manufacturing process for manufacturing the article is received. A geometric model is generated based on the tool path model defining a plurality of roads arranged in layers. For each of the roads, the material property tensor is rotated to align the reference direction with a direction of a selected road and an estimated material property value is assigned to the selected road to generate a first geometry-material model of the article.

First claim

What is claimed is:

1. A method for estimating a material characteristic of an article, comprising:
receiving a material property tensor having an associated reference direction;
receiving a tool path model of an additive manufacturing process for manufacturing the article;
generating a geometric model based on the tool path model defining a plurality of linear road segments arranged in layers;
for each of the linear road segments, rotating the material property tensor to align the reference direction with a direction of a selected linear road segment and assigning an estimated material property value to the selected linear road segment to generate a first geometry-material model of the article suitable for material property analysis of the article.

2. The method of claim 1 , wherein the material property tensor includes parameters generated from measurements of a test specimen having an effective domain, and the geometric model includes roads having geometries consistent with the effective domain.

3. The method of claim 2 , wherein the effective domain removes voids between adjacent linear road segments.

4. The method of claim 1 , wherein generating the geometric model comprises defining the roads as sweeps along line segments.

5. The method of claim 4 , wherein the linear road segments have rectangular cross-sections.

6. The method of claim 1 , further comprising:
identifying nodes where two or more linear road segments overlap; and
for each selected node, averaging the estimated material property value of each of the overlapping linear road segments to provide the estimated material property value at the selected node.

7. The method of claim 1 , further comprising:
accessing a library of material property tensors, each having an associated reference direction, and each being associated with a predetermined structure;
identifying a structure in the geometric model corresponding to one of the predetermined structures in the library; and
rotating the material property tensor of the predetermined structure to align the reference direction with a direction of the corresponding structure and assigning an estimated material property value to the corresponding structure in the geometry-material model of the article.

8. The method of claim 1 , wherein the material property tensor comprises a fourth order tensor.

9. The method of claim 8 , wherein a material property associated with the material property tensor comprises at least one of Young's modulus, bulk modulus, shear modulus, Poisson's ratio, Lame parameters or P-wave modulus.

10. The method of claim 1 , wherein the material property tensor comprises a second order tensor.

11. The method of claim 10 , wherein a material property associated with the material property tensor comprises at least one of electrical resistivity, thermal resistivity, electrical conductivity, thermal conductivity, dielectric constant, magnetic permeability or diffusion coefficient.

12. The method of claim 1 , wherein the first geometry-material model comprises a mesoscale model, and the method further comprises homogenizing the mesoscale geometry-material model to generate a macroscale geometry-material model.

13. The method of claim 12 , wherein homogenizing the mesoscale geometry-material model comprises homogenizing the mesoscale geometry-material model using Green's function.

14. A system, comprising:
a memory to store a plurality of instructions; and
a processor to execute the instructions to receive a material property tensor having an associated reference direction, receive a tool path model of an additive manufacturing process for manufacturing an article, generate a geometric model based on the tool path model defining a plurality of linear road segments arranged in layers, and, for each of the linear road segments, rotate the material property tensor to align the reference direction with a direction of a selected road and assign an estimated material property value to the selected road to generate a first geometry-material model of the article suitable for material property analysis of the article.

15. The system of claim 14 , wherein the material property tensor includes parameters generated from measurements of a test specimen having an effective domain, and the geometric model includes linear road segments having geometries consistent with the effective domain.

16. The system of claim 15 , wherein the effective domain removes voids between adjacent linear road segments.

17. The system of claim 14 , wherein the processor is to generate the geometric model by defining the linear road segments as sweeps along line segments, wherein the sweeps have rectangular cross-sections.

18. The system of claim 14 , wherein the processor is to identify nodes where two or more linear road segments overlap and, for each selected note, average the estimated material property value of each of the overlapping linear road segments to provide the estimated material property value at the selected node.

19. The system of claim 14 , wherein the processor is to access a library of material property tensors, each having an associated reference direction, and each being associated with a predetermined structure, identify a structure in the geometric model corresponding to one of the predetermined structures in the library, and rotate the material property tensor of the predetermined structure to align the reference direction with a direction of the corresponding structure and assign an estimated material property value to the corresponding structure in the geometry-material model of the article.

20. The system of claim 14 , wherein the material property tensor comprises a fourth order tensor.

21. The system of claim 14 , wherein the material property tensor comprises a second order tensor.

22. The system of claim 14 , wherein the first geometry-material model comprises a mesoscale model, and the processor is to homogenize the mesoscale geometry-material model to generate a macroscale geometry-material model.

23. The system of claim 14 , wherein the processor is to homogenize the mesoscale geometry-material model using Green's function.

Assignees

• Wisconsin Alumni Res Found

Inventors

• Shapiro Vadim
• Liu Xingchen

Classifications

• G05B2219/35134

  3-D cad-cam · CPC title

• G05B19/4099 Primary

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

• Y02P90/265

  Cross-Sectional Technologies · mapped topic

• G05B2219/49007

  Making, forming 3-D object, model, surface · CPC title

• B33Y50/00

  Data acquisition or data processing for additive manufacturing · CPC title