IP Library Granted Patent US 11,714,933
Granted Patent B2
US 11,714,933 · App. 17/829,673 · Granted Aug 1, 2023

Systems and methods for utilizing a 3D CAD point-cloud to automatically create a fluid model

Inventor: Zain S. Dweik (Hamilton, OH)
Assignee: Altair Engineering, Inc.
G06F30/17G06F30/20G06N20/00G06T15/005G06T17/05G06F2111/10G06F2119/18
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Quick Facts
Patent No.
US 11,714,933
App. No.
17/829,673
Granted
Aug 1, 2023
Kind
B2
Abstract

A multiple fluid model tool for utilizing a 3D CAD point-cloud to automatically create a fluid model is presented. For example, a system includes a modeling component, a machine learning component, and a three-dimensional design component. The modeling component generates a three-dimensional model of a mechanical device based on point cloud data indicative of information for a set of data values associated with a three-dimensional coordinate system. The machine learning component predicts one or more characteristics of the mechanical device based on input data and a machine learning process associated with the three-dimensional model. The three-dimensional design component that provides a three-dimensional design environment associated with the three-dimensional model. The three-dimensional design environment renders physics modeling data of the mechanical device based on the input data and the one or more characteristics of the mechanical device on the three-dimensional model.

Claims (80)

1. A method, comprising:

obtaining, by a computer system, point cloud data regarding a mechanical device, wherein the point cloud data comprises a set of data values associated with a three-dimensional coordinate system;

generating, by the computer system, a three-dimensional model of the mechanical device based on the point cloud data, wherein the three-dimensional model comprises a control volume representing at least a portion of the mechanical device;

updating, by the computer system, the control volume in response to a modification of computer aided design data associated with the mechanical device; and

predicting, by the computer system, at least one of a combustion behavior or a thermal behavior of the mechanical device based on input data, the three-dimensional model, and a machine learning process associated with the three-dimensional model.

2. The method of claim 1 , wherein the control volume comprises a computational domain for a geometric feature of the three-dimensional model.

3. The method of claim 1 , wherein the input data comprises at least one of:

fluid data indicative of a fluid provided to the mechanical device,

electrical data indicative of a voltage and/or a current provided to the mechanical device, or

chemical data indicative of a chemical element provided to the mechanical device.

4. The method of claim 1 , wherein predicting the combustion behavior the mechanical device comprises determining one or more combustion characteristics of the three-dimensional model, wherein the one or more combustion characteristics comprises at least one of:

a temperature associated with one or more regions of the three-dimensional model,

an elemental composition associated with one or more regions of the three-dimensional model,

a moisture content associated with one or more regions of the three-dimensional model,

a density associated with one or more regions of the three-dimensional model, or

an acoustic property associated with one or more regions of the three-dimensional model.

5. The method of claim 1 , wherein predicting the thermal behavior the mechanical device comprises determining one or more thermal characteristics of the three-dimensional model, wherein the one or more thermal characteristics comprises at least one of:

a temperature associated with one or more regions of the three-dimensional model,

a heat capacity associated with one or more regions of the three-dimensional model,

a thermal expansion associated with one or more regions of the three-dimensional model,

a thermal conductivity associated with one or more regions of the three-dimensional model, or

a thermal stress associated with one or more regions of the three-dimensional model.

6. The method of claim 1 , further comprising:

generating, by the system, physics modeling data representing the mechanical device based on the control volume.

7. The method of claim 6 , further comprising:

rendering the physics modeling data on the three-dimensional model.

8. A system comprising:

one or more processors; and

one or more computer-readable media storing one or more sequences of instructions which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:

obtaining point cloud data regarding a mechanical device, wherein the point cloud data comprises a set of data values associated with a three-dimensional coordinate system;

generating a three-dimensional model of the mechanical device based on the point cloud data, wherein the three-dimensional model comprises a control volume representing at least a portion of the mechanical device;

updating the control volume in response to a modification of computer aided design data associated with the mechanical device; and

predicting at least one of a combustion behavior or a thermal behavior of the mechanical device based on input data, the three-dimensional model, and a machine learning process associated with the three-dimensional model.

9. The system of claim 8 , wherein the control volume comprises a computational domain for a geometric feature of the three-dimensional model.

10. The system of claim 8 , wherein the input data comprises at least one of:

fluid data indicative of a fluid provided to the mechanical device,

electrical data indicative of a voltage and/or a current provided to the mechanical device, or

chemical data indicative of a chemical element provided to the mechanical device.

11. The system of claim 8 , wherein predicting the combustion behavior the mechanical device comprises determining one or more combustion characteristics of the three-dimensional model, wherein the one or more combustion characteristics comprises at least one of:

a temperature associated with one or more regions of the three-dimensional model,

an elemental composition associated with one or more regions of the three-dimensional model,

a moisture content associated with one or more regions of the three-dimensional model,

a density associated with one or more regions of the three-dimensional model, or

an acoustic property associated with one or more regions of the three-dimensional model.

12. The system of claim 8 , wherein predicting the thermal behavior the mechanical device comprises determining one or more thermal characteristics of the three-dimensional model, wherein the one or more thermal characteristics comprises at least one of:

a temperature associated with one or more regions of the three-dimensional model,

a heat capacity associated with one or more regions of the three-dimensional model,

a thermal expansion associated with one or more regions of the three-dimensional model,

a thermal conductivity associated with one or more regions of the three-dimensional model, or

a thermal stress associated with one or more regions of the three-dimensional model.

13. The system of claim 8 , the operations further comprising:

generating, by the system, physics modeling data representing the mechanical device based on the control volume.

14. The system of claim 13 , the operations further comprising:

rendering the physics modeling data on the three-dimensional model.

15. One or more non-transitory computer-readable media storing one or more sequences of instructions which, when executed by one or more processors, cause the one or more processors to perform operations comprising:

obtaining point cloud data regarding a mechanical device, wherein the point cloud data comprises a set of data values associated with a three-dimensional coordinate system;

generating a three-dimensional model of the mechanical device based on the point cloud data, wherein the three-dimensional model comprises a control volume representing at least a portion of the mechanical device;

updating the control volume in response to a modification of computer aided design data associated with the mechanical device; and

predicting at least one of a combustion behavior or a thermal behavior of the mechanical device based on input data, the three-dimensional model, and a machine learning process associated with the three-dimensional model.

16. The one or more non-transitory computer-readable media of claim 15 , wherein the control volume comprises a computational domain for a geometric feature of the three-dimensional model.

17. The one or more non-transitory computer-readable media of claim 15 , wherein the input data comprises at least one of:

fluid data indicative of a fluid provided to the mechanical device,

electrical data indicative of a voltage and/or a current provided to the mechanical device, or

chemical data indicative of a chemical element provided to the mechanical device.

18. The one or more non-transitory computer-readable media of claim 15 , wherein predicting the combustion behavior the mechanical device comprises determining one or more combustion characteristics of the three-dimensional model, wherein the one or more combustion characteristics comprises at least one of:

a temperature associated with one or more regions of the three-dimensional model,

an elemental composition associated with one or more regions of the three-dimensional model,

a moisture content associated with one or more regions of the three-dimensional model,

a density associated with one or more regions of the three-dimensional model, or

an acoustic property associated with one or more regions of the three-dimensional model.

19. The one or more non-transitory computer-readable media of claim 15 , wherein predicting the thermal behavior the mechanical device comprises determining one or more thermal characteristics of the three-dimensional model, wherein the one or more thermal characteristics comprises at least one of:

a temperature associated with one or more regions of the three-dimensional model,

a heat capacity associated with one or more regions of the three-dimensional model,

a thermal expansion associated with one or more regions of the three-dimensional model,

a thermal conductivity associated with one or more regions of the three-dimensional model, or

a thermal stress associated with one or more regions of the three-dimensional model.

20. The one or more non-transitory computer-readable media of claim 15 , the operations further comprising:

generating, by the system, physics modeling data representing the mechanical device based on the control volume.

21. The one or more non-transitory computer-readable media of claim 20 , the operations further comprising:

rendering the physics modeling data on the three-dimensional model.

Assignments (3)
MERGER Recorded Feb 4, 2026
From: ALTAIR ENGINEERING INC.
To: SIEMENS INDUSTRY SOFTWARE INC.
Reel/Frame 074348/0312 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 1, 2022
From: DWEIK, ZAIN S.
To: GENERAL ELECTRIC COMPANY
Reel/Frame 060069/0362 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 1, 2022
From: GENERAL ELECTRIC COMPANY
To: ALTAIR ENGINEERING, INC.
Reel/Frame 060069/0513 →
Continuity (6)
Continuation 17174047 · Feb 11, 2021
Continuation 16856392 · Apr 23, 2020
Continuation 16517154 · Jul 19, 2019
Continuation 15630939 · Jun 22, 2017
Provisional Application 62469953 · Mar 10, 2017
Related Publication 20220292231A1 · Sep 15, 2022
Cited By (5)
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