US 11,947,882 B2
Optimization of prototype and machine design within a 3D fluid modeling environment
Zain S. Dweik, Hamilton, OH (US); Vijay Sethuraman, Bangalore (IN); and Berkay Elbir, Gebze (TR)
Assigned to Altair Engineering, Inc., Troy, MI (US)
Filed by Altair Engineering, Inc., Troy, MI (US)
Filed on Apr. 12, 2021, as Appl. No. 17/228,145.
Application 17/228,145 is a continuation of application No. 15/630,941, filed on Jun. 22, 2017, granted, now 10,977,397, issued on Apr. 13, 2021.
Claims priority of provisional application 62/516,099, filed on Jun. 6, 2017.
Claims priority of provisional application 62/469,953, filed on Mar. 10, 2017.
Prior Publication US 2021/0232732 A1, Jul. 29, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 30/20 (2020.01); G06N 3/043 (2023.01); G06N 3/045 (2023.01); G06N 7/01 (2023.01); G06N 7/02 (2006.01); G06N 20/00 (2019.01); G06T 17/05 (2011.01); G06F 3/04815 (2022.01); G06F 111/08 (2020.01); G06F 111/10 (2020.01); G06N 3/042 (2023.01); G06N 5/00 (2023.01)
CPC G06F 30/20 (2020.01) [G06N 3/043 (2023.01); G06N 3/045 (2023.01); G06N 7/01 (2023.01); G06N 7/023 (2013.01); G06N 20/00 (2019.01); G06T 17/05 (2013.01); G06F 3/04815 (2013.01); G06F 2111/08 (2020.01); G06F 2111/10 (2020.01); G06N 3/042 (2023.01); G06N 5/00 (2013.01); G06T 2210/21 (2013.01)] 24 Claims
OG exemplary drawing
 
1. A system, comprising:
one or more processors; and
one or more non-transitory computer-readable media including one or more sequences of instructions which, when executed by the one or more processors, causes the one or more processors to perform operations comprising:
generating a three-dimensional model of a mechanical device based on a library of stored data elements, wherein the stored data elements comprise a first set of elements for mechanical components of the mechanical device and a second set of elements for electrical components of the mechanical device;
performing a first machine learning process associated with the three-dimensional model to predict characteristics of the mechanical device, wherein performing the first machine learning process comprises predicting, using the first machine learning process, at least two of:
a behavior of fluid flowing through the mechanical device,
a thermal property of the mechanical device, or
a combustion property of the mechanical device,
generating physics modeling data of the mechanical device based on the characteristics of the mechanical device, wherein the physics modeling data represents at least two of fluid dynamics, thermal dynamics, and combustion dynamics of the mechanical device; and
presenting, via a graphical user interface, a visual representation of the mechanical device, wherein the visual representation of the mechanical device comprises:
the three-dimensional model, and
at least two of:
a first portion of the physical modeling data rendered on the three-dimensional model according to a first visual characteristic, the first portion representing the fluid dynamics of the mechanical device,
a second portion of the physical modeling data rendered on the three-dimensional model according to a second visual characteristic, the second portion representing the thermal dynamics of the mechanical device, or
a third portion of the physical modeling data rendered on the three-dimensional model according to a third visual characteristic, the third portion representing the combustion dynamics of the mechanical device.