Systems and methods for growth-based design

Patent metadata

Field	Value
Publication number	US-11281820-B2
Application number	US-201916373246-A
Country	US
Kind code	B2
Filing date	Apr 2, 2019
Priority date	Apr 2, 2019
Publication date	Mar 22, 2022
Grant date	Mar 22, 2022

Abstract

Systems and methods are disclosed for generating designs for mechanical parts in a computer aided design (CAD) context. One method includes generating a model of a mechanical part, the model including one or more cells, wherein each cell is comprised of a plurality of parameterized representations, each of the plurality of parameterized representations representing a material property; determining, for each cell, a cell-specific parameter value for each of the parameterized representations; comparing, for each cell, each of the cell-specific parameter values to a corresponding threshold parameter value associated with each of the representations of the material properties; and generating at least one additional cell or removing at least one of the one or more cells based on the comparison of each cell-specific parameter value to the corresponding threshold parameter value.

First claim

What is claimed is:

1. A non-transitory computer readable medium for use on a computer system containing computer-executable programming instructions for performing a method of generating a design for a mechanical part, the method comprising:
generating a model of a mechanical part, the model including one or more cells, wherein each cell is comprised of a plurality of parameterized representations, each of the plurality of parameterized representations representing a material property;
determining, for each cell, a cell-specific parameter value for each of the parameterized representations;
comparing, for each cell, each of the cell-specific parameter values to a corresponding threshold parameter value associated with each of the representations of the material properties; and
generating at least one additional cell or removing at least one of the one or more cells based on the comparison of each cell-specific parameter value to the corresponding threshold parameter value; and
wherein at least one cell-specific parameter value is a strain value.

2. The computer-implemented method of claim 1 , further comprising:
determining a prompt corresponding to a physical material property, a temperature, or an age of the cell; and
updating each of the cell-specific parameter values based on the prompt.

3. The computer-implemented method of claim 2 , further comprising:
determining the prompt based on user input or a default setting related to a simulated stimulus applied to the model of the mechanical part.

4. The computer-implemented method of claim 2 , further comprising:
determining the threshold parameter value based on the prompt.

5. The computer-implemented method of claim 1 , further comprising:
detecting, for each cell, at least one neighboring cell; and
determining each cell-specific parameter value based on a parameter value associated with the at least one neighboring cell.

6. The computer-implemented method of claim 1 , further comprising:
generating the parametrized representations of each cell based on user inputs comprising material type or safety factor.

7. The computer-implemented method of claim 1 , further comprising:
identifying a location on or within the model of the mechanical part; and
generating the at least one additional cell or removing the at least one of the one or more cells at the identified location of the model.

8. The computer-implemented method of claim 7 , further comprising:
identifying the location based on a cell-specific parameter value, a user input, a setting associated with the mechanical part, or a combination thereof.

9. A system for performing a method of generating a design for a mechanical part, the system comprising:
a data storage device storing instructions for performing a method of generating a design for a mechanical part; and
a processor configured to execute the instructions to perform a method including:
generating a model of a mechanical part, the model including one or more cells, wherein each cell is comprised of a plurality of parameterized representations, each of the plurality of parameterized representations representing a material property;
determining, for each cell, a cell-specific parameter value for each of the parameterized representations;
comparing, for each cell, each of the cell-specific parameter values to a corresponding threshold parameter value associated with each of the representations of the material properties; and
generating at least one additional cell or removing at least one of the one or more cells based on the comparison of each cell-specific parameter value to the corresponding threshold parameter value.

10. The system of claim 9 , wherein the system is further configured for:
determining a prompt corresponding to a physical material property, a temperature, or an age of the cell; and
updating each of the cell-specific parameter values based on the prompt.

11. The system of claim 10 , wherein the system is further configured for:
determining the prompt based on user input or a default setting related to a simulated stimulus applied to the model of the mechanical part.

12. The system of claim 10 , wherein the system is further configured for:
determining the threshold parameter value based on the prompt.

13. The system of claim 9 , wherein the system is further configured for:
detecting, for each cell, at least one neighboring cell; and
determining each cell-specific parameter value based on a parameter value associated with the at least one neighboring cell.

14. The system of claim 9 , wherein the system is further configured for:
generating the parametrized representations of each cell based on user inputs comprising material type or safety factor.

15. The system of claim 9 , wherein the system is further configured for:
identifying a location on or within the model of the mechanical part; and
generating the at least one additional cell or removing the at least one of the one or more cells at the identified location of the model.

16. The system of claim 15 , wherein the system is further configured for:
identifying the location based on a cell-specific parameter value, a user input, a setting associated with the mechanical part, or a combination thereof.

17. A non-transitory computer readable medium for use on a computer system containing computer-executable programming instructions for performing a method of generating a design for a mechanical part, the method comprising:
generating a model of a mechanical part, the model including one or more cells, wherein each cell is comprised of a plurality of parameterized representations, each of the plurality of parameterized representations representing a material property;
determining, for each cell, a cell-specific parameter value for each of the parameterized representations;
comparing, for each cell, each of the cell-specific parameter values to a corresponding threshold parameter value associated with each of the representations of the material properties; and
generating at least one additional cell or removing at least one of the one or more cells based on the comparison of each cell-specific parameter value to the corresponding threshold parameter value.

18. The non-transitory computer readable medium of claim 17 , the method further comprising:
determining a prompt corresponding to a physical material property, a temperature, or an age of the cell; and
updating each of the cell-specific parameter values based on the prompt.

19. The non-transitory computer readable medium of claim 17 , the method further comprising:
determining the prompt based on user input or a default setting related to a simulated stimulus applied to the model of the mechanical part.

20. The non-transitory computer readable medium of claim 17 , the method further comprising: determining the threshold parameter value based on the prompt.

Assignees

• Desktop Metal Inc

Inventors

• Roberts Andrew Fiske
• Gomez Christian

Classifications

• G06T2219/2021

  Shape modification · CPC title

• G06F2111/06

  Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA] · CPC title

• G06T19/20

  Editing of three-dimensional [3D] images, e.g. changing shapes or colours, aligning objects or positioning parts · CPC title

• G06F30/22

  using Petri net models · CPC title

• G06F30/23

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