公开(公告)号：US10915675B2

公开(公告)日：2021-02-09

申请号：US15661726

申请日：2017-07-27

Applicant: Dassault Systemes Simulia Corp.

Inventor： Claus Bech Wittendorf Pedersen ,  Victor George Oancea

IPC: G06F30/20 ,  G06F30/23 ,  G06F111/10 ,  G06F119/18

Abstract: An example embodiment designs a real-world object by defining a first model of the object being produced using an additive manufacturing (AM) process, where behavior of the object being produced is given by a first equation which includes a first plurality of corresponding sensitivity equations for a first plurality of design variables. Similarly, such an embodiment defines a second model of the object after being produced, wherein behavior of the object after being produced is given by a second equation which includes a second plurality of corresponding sensitivity equations for a second plurality of design variables. In turn, the second model is iteratively optimized with respect to a given one of the second plurality of design variables using both the first plurality of corresponding sensitivity equations and the second plurality of corresponding sensitivity equations.

公开(公告)号：US20180330029A1

公开(公告)日：2018-11-15

申请号：US15661726

申请日：2017-07-27

Applicant: Dassault Systemes Simulia Corp.

Inventor： Claus Bech Wittendorf Pedersen ,  Victor George Oancea

IPC: G06F17/50

CPC classification number: G06F17/5009 ,  G06F17/5018 ,  G06F2217/12 ,  G06F2217/16

Abstract: An example embodiment designs a real-world object by defining a first model of the object being produced using an additive manufacturing (AM) process, where behavior of the object being produced is given by a first equation which includes a first plurality of corresponding sensitivity equations for a first plurality of design variables. Similarly, such an embodiment defines a second model of the object after being produced, wherein behavior of the object after being produced is given by a second equation which includes a second plurality of corresponding sensitivity equations for a second plurality of design variables. In turn, the second model is iteratively optimized with respect to a given one of the second plurality of design variables using both the first plurality of corresponding sensitivity equations and the second plurality of corresponding sensitivity equations.

公开(公告)号：US11487271B2

公开(公告)日：2022-11-01

申请号：US16855186

申请日：2020-04-22

Applicant: Dassault Systemes Simulia Corp

Inventor： Jing Bi ,  Victor George Oancea

IPC: G05B19/4099 ,  G06N20/00 ,  G06F30/10 ,  B33Y50/02 ,  B29C64/153 ,  B29C64/393 ,  G06F30/27 ,  G06F119/18 ,  G06F111/18 ,  G06F113/10

Abstract: A method includes identifying machine process parameters for an additive manufacturing process to produce a part, providing a real-world sensor to sense a characteristic associated with a real-world version of the additive manufacturing process, receiving sensor readings from the real-world sensor while the machine is performing the real-world version of the additive manufacturing process, generating, with a computer-based processor, physics-based features associated with the additive manufacturing process, and training a machine-learning software model based at least in part on the machine process parameters, the sensor readings, and the physics-based features to predict a behavior of the real-world sensor.

公开(公告)号：US20170337307A1

公开(公告)日：2017-11-23

申请号：US15597473

申请日：2017-05-17

Applicant: Dassault Systemes Simulia Corp.

Inventor： Victor George Oancea ,  Juan Antonio Hurtado Ortiz ,  Bruce Engelmann ,  William John Grimes

IPC: G06F17/50 ,  B33Y50/00

Abstract: Methods and systems for providing accurate, scalable, and predictive 3D printing simulations using numerical methods for part-level simulations. Complex parts can be discretized into finite elements using independent and arbitrary meshing. The real additive manufacturing tooling path and printing time of a printing machine are simulated and applied to the mesh of finite elements using an intersection module that combines the finite element mesh with the tool path information of the printing machine in a geometric sense. This allows for localized heating effects to be simulated very accurately, and for cooling assessments to be precisely computed given the intersection module's computation of partial facets and volumes of the finite elements at any given time in the printing simulation.

公开(公告)号：US10671777B2

公开(公告)日：2020-06-02

申请号：US15597473

申请日：2017-05-17

Applicant: Dassault Systemes Simulia Corp.

Inventor： Victor George Oancea ,  Juan Antonio Hurtado Ortiz ,  Bruce Engelmann ,  William John Grimes

IPC: G06F30/23 ,  B33Y50/00 ,  G06F111/10

Abstract: Methods and systems for providing accurate, scalable, and predictive 3D printing simulations using numerical methods for part-level simulations. Complex parts can be discretized into finite elements using independent and arbitrary meshing. The real additive manufacturing tooling path and printing time of a printing machine are simulated and applied to the mesh of finite elements using an intersection module that combines the finite element mesh with the tool path information of the printing machine in a geometric sense. This allows for localized heating effects to be simulated very accurately, and for cooling assessments to be precisely computed given the intersection module's computation of partial facets and volumes of the finite elements at any given time in the printing simulation.