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Systems and methods for overlaying and integrating computer aided design (CAD) drawings with fluid models

專利號(hào)
US10867085B2
公開日期
2020-12-15
申請(qǐng)人
General Electric Company(US NY Schenectady)
發(fā)明人
Zain S. Dweik; Serhan Derikesen; Ozan Erciyas
IPC分類
G06F30/20; G06F30/17; G06N20/00; G01F5/00; G06T15/10; G06F30/13; G06F111/10; G06F111/20
技術(shù)領(lǐng)域
3d,modeling,physics,model,learning,data,or,can,component,fluid
地域: NY NY Schenectady

摘要

Techniques that facilitate overlaying and integrating computer aided design drawings with fluid models are presented. For example, a system includes a modeling component, a machine learning component, and a graphical user interface component. The modeling component generates a three-dimensional model of a mechanical device based on a library of stored data elements. The machine learning component predicts one or more characteristics of the mechanical device based on a machine learning process associated with the three-dimensional model. The machine learning component also generates physics modeling data of the mechanical device based on the one or more characteristics of the mechanical device. The graphical user interface component generates, for a display device, a graphical user interface that presents the three-dimensional model and renders the physics modeling data on the three-dimensional model.

說明書

CROSS-REFERENCE

This application claims priority to U.S. Provisional Patent Application No. 62/469,953, filed Mar. 10, 2017, and entitled “A MULTIPLE FLUID MODEL TOOL FOR INTERDISCIPLINARY FLUID MODELING”, the entirety of which application is hereby incorporated by reference herein.

TECHNICAL FIELD

This disclosure relates generally to three dimensional modeling systems, and more specifically, to modeling of a fluid system and/or a fluid system design tool.

BACKGROUND

During a design phase of a device or product associated with a fluid system, it is often desirable to determine impact of a fluid with respect to the device or product associated with the fluid system. To determine impact of the fluid with respect to the design, numerical analysis of two dimensional (2D) data associated with computational fluid dynamics can be employed to analyze fluid flow through the device or product. For instance, a color of a 2D surface associated with the device or product can represent a degree of fluid flow. However, analyzing impact of a fluid with respect to a design of the device or product generally involves human interpretation of 2D data, which can result in human trial and error with respect to the fluid system. Moreover, human interpretation of 2D data and/or employing multiple fluid model tools to determine impact of a fluid with respect to a design of a device or product can be burdensome with respect to cost, redundancy and/or maintenance associated with the device or product.

SUMMARY

權(quán)利要求

1
What is claimed is:1. A system, comprising:a memory storing computer executable instructions; anda processor configured to execute the computer executable instructions stored in the memory, which cause the processor to:generate a three-dimensional model of a mechanical device based on a library of stored data elements;predict one or more characteristics of the mechanical device based on a machine learning process associated with the three-dimensional model, and generate physics modeling data of the mechanical device based on the one or more characteristics of the mechanical device wherein the physics modeling data includes fluid flow simulations associated with the mechanical device, thermal simulations associated with the mechanical device, combustion simulations associated with the mechanical device, or electricity simulations associated with the mechanical device; andgenerate, for a display device, a graphical user interface that presents the three-dimensional model and renders the physics modeling data on the three-dimensional model.2. The system of claim 1, wherein the processor presents, via the display device, one or more mechanical components associated with the library of stored data elements, andwherein the one or more characteristics of the mechanical device include thermal characteristics that comprise at least one of a temperature, heat capacity, thermal expansion, thermal conductivity, or thermal stress associated with one or more regions of the three-dimensional model.3. The system of claim 1, wherein the processor selects one or more mechanical components associated with the library of stored data elements based on input data received from the display device.4. The system of claim 1, wherein the processor determines a computational geometry for one or more mechanical components associated with the library of stored data elements based on input data received from the display device.5. The system of claim 1, wherein the processor determines a computational geometry for a control volume associated with the three-dimensional model based on input data received from the display device.6. The system of claim 1, wherein the processor receives image data indicative of an image for the mechanical device, and generates the three-dimensional model based on the image data.7. The system of claim 1, wherein the processor receives a set of mechanical components via the display device, and converts the set of mechanical components to computer aided design data.8. The system of claim 7, wherein the processor generates the three-dimensional model based on the computer aided design data.9. The system of claim 8, wherein the processor performs the machine learning process based on the computer aided design data associated with the set of mechanical components received via the display device.10. The system of claim 1, wherein the processor generates the physics modeling data of the mechanical device based on the one or more characteristics of the mechanical device and fluid data indicative of a fluid received by the mechanical device.11. A method, comprising:generating, by a system comprising a processor, a three-dimensional model of a mechanical device based on a library of stored data elements;performing, by the system, a machine learning process associated with the three-dimensional model to predict one or more characteristics of the mechanical device;generating, by the system, physics modeling data of the mechanical device based on the one or more characteristics of the mechanical device; andgenerating, by the system, a graphical user interface that presents the three-dimensional model via a display device and renders the physics modeling data on the three-dimensional model.12. The method of claim 11, further comprising:displaying, by the system, information associated with one or more elements of the mechanical device on the display device, andwherein the one or more characteristics of the mechanical device include thermal characteristics that comprise at least one of a temperature, heat capacity, thermal expansion, thermal conductivity, or thermal stress associated with one or more regions of the three-dimensional model.13. The method of claim 11, further comprising:selecting, by the system, one or more elements of the mechanical device from the library of stored data elements based on input data received from the display device.14. The method of claim 11, further comprising:determining, by the system, a computational geometry for one or more elements of the mechanical device based on input data received from the display device.15. The method of claim 11, further comprising:determining, by the system, a computational geometry for a control volume associated with one or more elements of the mechanical device based on input data received from the display device.16. The method of claim 11, further comprising:receiving, by the system, image data indicative of an image for one or more elements of the mechanical device, wherein the generating the three-dimensional model comprises generating the three-dimensional model based on the image data.17. A non-transitory computer readable storage device comprising instructions that, in response to execution, cause a system comprising a processor to perform operations, comprising:generating a three-dimensional model of a mechanical device based on a library of stored data elements;performing a machine learning process associated with the three-dimensional model to predict one or more characteristics of the mechanical device;determining physics modeling data of the mechanical device based on the one or more characteristics of the mechanical device; andproviding a graphical user interface that presents the three-dimensional model via a display device and overlays the physics modeling data on the three-dimensional model.18. The non-transitory computer readable storage device of claim 17, wherein the operations further comprise:selecting a portion of the mechanical device from the library of stored data elements based on input data received from the display device, andwherein the one or more characteristics of the mechanical device include thermal characteristics that comprise at least one of a temperature, heat capacity, thermal expansion, thermal conductivity, or thermal stress associated with one or more regions of the three-dimensional model.19. The non-transitory computer readable storage device of claim 17, wherein the operations further comprise:determining a computational geometry for a portion of the mechanical device based on input data received from the display device.20. The non-transitory computer readable storage device of claim 17, wherein the operations further comprise:receiving image data indicative of an image for a portion of the mechanical device, wherein the generating the three-dimensional model comprises generating the three-dimensional model based on the image data.21. The system of claim 1, wherein the physics modeling data can determine impact of a fluid flow, thermal characteristics, combustion characteristics, and/or physics behavior with respect to a design of the mechanical device associated with the three-dimensional model.22. The method of claim 11, wherein the physics modeling data can determine impact of a fluid flow, thermal characteristics, combustion characteristics, and/or physics behavior with respect to a design of the mechanical device associated with the three-dimensional model.23. The non-transitory computer readable storage device of claim 17, wherein the physics modeling data can determine impact of a fluid flow, thermal characteristics, combustion characteristics, and/or physics behavior with respect to a design of the mechanical device associated with the three-dimensional model.
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