Method for structure preserving topology optimization of lattice structures for additive manufacturing

Patent metadata

Field	Value
Publication number	US-9789651-B2
Application number	US-201514591395-A
Country	US
Kind code	B2
Filing date	Jan 7, 2015
Priority date	Jan 9, 2014
Publication date	Oct 17, 2017
Grant date	Oct 17, 2017

Abstract

Methods for structure preserving topology optimization of lattice structures for additive manufacturing. A method includes receiving an initial lattice model, a physical objective of the initial lattice model to be optimized, forces to be applied to the initial lattice model and their respective locations, and an optimal volume ratio for an optimized lattice model, computing a bounding box of the initial lattice model and an axis-aligned voxel grid, computing an implicit scalar field representation of an initial volume ratio of the initial lattice model, mapping the loads to their respective locations in the axis-aligned voxel grid, performing an additive topology optimization on the initial lattice model to create the optimized lattice model until the initial volume ratio satisfies the optimal volume ratio, and storing the optimized lattice model.

First claim

What is claimed is:

1. A method for structure preserving topology optimization of lattice structures for additive manufacturing, the method performed by a data processing system and comprising:
receiving an initial lattice model, a physical objective of the initial lattice model to be optimized, forces to be applied to the initial lattice model and their respective locations, and an optimal volume ratio for an optimized lattice model;
computing a bounding box of the initial lattice model and an axis-aligned voxel grid;
computing an implicit scalar field representation of an initial volume ratio of the initial lattice model;
mapping the forces to their respective locations in the axis-aligned voxel grid;
performing an additive topology optimization on the initial lattice model to create the optimized lattice model until the initial volume ratio satisfies the optimized volume ratio, wherein the additive topology optimization comprises:
assigning a material property to each voxel in the axis-aligned voxel grid;
determining displacements and stress values for each of the voxels;
computing shape derivatives and topology derivatives based on the displacements and stress values for each of the voxels; and
updating the optimized lattice model using the shape derivatives and topology derivatives; and

storing the optimized lattice model.

2. The method of claim 1 , wherein the voxels corresponding to a lattice structure are assigned a shape derivative of zero.

3. The method of claim 1 , wherein assigning the material property comprises assigning the voxels external to the lattice structure with a material property value of zero.

4. The method of claim 1 , wherein determining displacements and stress values for each of the voxels comprises performing a finite element analysis.

5. The method of claim 4 , wherein the shape derivatives and topology derivatives are computed with results of the finite element analysis.

6. The method of claim 1 , wherein updating the optimized lattice model comprising using a level-set method.

7. The method of claim 6 , wherein the shape derivatives and topology derivatives are used as a velocity gradient for the level-set method.

8. A data processing system comprising:
a processor; and
an accessible memory, the data processing system particularly configured to:
receive an initial lattice model, a physical objective of the initial lattice model to be optimized, forces to be applied to the initial lattice model and their respective locations, and an optimal volume ratio for an optimized lattice model;
compute a bounding box of the initial lattice model and an axis-aligned voxel grid;
compute an implicit scalar field representation of an initial volume ratio of the initial lattice model;
map the forces to their respective locations in the axis-aligned voxel grid;
perform an additive topology optimization on the initial lattice model to create an optimized lattice model until the initial volume ratio satisfies the optimized volume ratio, wherein the additive topology optimization comprises:
assign a material property to each voxel in the axis-aligned voxel grid;
determine displacements and stress values for each of the voxels;
compute shape derivatives and topology derivatives based on the displacements and stress values for each of the voxels; and
update the optimized lattice model using the shape derivatives and topology derivatives; and

store the optimized lattice model.

9. The data processing system of claim 8 , wherein the voxels corresponding to a lattice structure are assigned a shape derivative of zero.

10. The data processing system of claim 8 , wherein to assign the material property comprises assigning the voxels external to the lattice structure with a material property value of zero.

11. The data processing system of claim 8 , wherein to determine displacements and stress values for each of the voxels comprises performing a finite element analysis.

12. The data processing system of claim 11 , wherein the shape derivatives and topology derivatives are computed with results of the finite element analysis.

13. The data processing system of claim 8 , wherein to update the optimized lattice model comprising using a level-set method.

14. The data processing system of claim 13 , wherein the shape derivatives and topology derivatives are used as a velocity gradient for the level-set method.

15. A non-transitory computer-readable medium encoded with executable instructions that, when executed, cause one or more data processing systems to:
receive an initial lattice model, a physical objective of the initial lattice model to be optimized, forces to be applied to the initial lattice model and their respective locations, and an optimized volume ratio for an optimized lattice model;
compute a bounding box of the initial lattice model and an axis-aligned voxel grid;
compute an implicit scalar field representation of an initial volume ratio of the initial lattice model;
map the forces to their respective locations in the axis-aligned voxel grid;
perform an additive topology optimization on the initial lattice model to create an optimized lattice model until the initial volume ratio satisfies the optimal volume ratio, wherein the additive topology optimization comprises:
assign a material property to each voxel in the axis-aligned voxel grid;
determine displacements and stress values for each of the voxels;
compute shape derivatives and topology derivatives based on the displacements and stress values for each of the voxels; and
update the optimized lattice model using the shape derivatives and topology derivatives; and

store the optimized lattice model.

16. The computer-readable medium of claim 15 , wherein to assign the material property comprises assigning the voxels external to the lattice structure with a material property value of zero.

17. The computer-readable medium of claim 15 , wherein to determine displacements and stress values for each of the voxels comprises performing a finite element analysis.

18. The computer-readable medium of claim 17 , wherein the shape derivatives and topology derivatives are computed with results of the finite element analysis.

19. The computer-readable medium of claim 15 , wherein to update the optimized lattice model comprising using a level-set method.

20. The computer-readable medium of claim 19 , wherein the shape derivatives and topology derivatives are used as a velocity gradient for the level-set method.

Assignees

• Siemens Product Lifecycle Man Software Inc
• Siemens Product Lifecycle Man Software Inc

Inventors

• Musuvathy Suraj Ravi
• Arisoy Erhan

Classifications

• G06F30/00

  Computer-aided design [CAD] · CPC title

• G06F2119/18

  Manufacturability analysis or optimisation for manufacturability · CPC title

• B33Y50/02

  for controlling or regulating additive manufacturing processes · CPC title

• G06F30/23

  using finite element methods [FEM] or finite difference methods [FDM] · CPC title

• G06F30/17

  Mechanical parametric or variational design · CPC title