公开(公告)号：US20180357343A1

公开(公告)日：2018-12-13

申请号：US16004969

申请日：2018-06-11

Applicant: General Electric Company

Inventor： Robert KLENNER ,  Guoxiang LIU ,  Brian BARR ,  Naresh IYER ,  Steven AZZARO ,  Nurali VIRANI ,  Glen MURRELL

IPC: G06F17/50

CPC classification number: G06F17/5009 ,  G06F2217/16 ,  G06N3/04 ,  G06N3/08

Abstract: According to some embodiments, system and methods are provided, comprising calculating a region of competence for a data-driven model; executing a physics-driven model when the calculated region of competence for the data-driven model falls outside of a threshold region of competence; and calibrating the physics-driven model as a function of a discrepancy between physics-driven model and actual field data when a stopping criterion has not been met. Numerous other aspects are provided.

公开(公告)号：US20200242495A1

公开(公告)日：2020-07-30

申请号：US16257348

申请日：2019-01-25

Applicant: General Electric Company

Inventor： Subhrajit ROYCHOWDHURY ,  Alexander CHEN ,  Xiaohu PING ,  Justin GAMBONE, JR. ,  Thomas CITRINITI ,  Brian BARR

IPC: G06N7/00 ,  G06N20/00 ,  G06F17/50 ,  B22F3/105

Abstract: Providing updated build parameters to an additive manufacturing machine to improve quality of a part manufactured by the machine. Sensor data is received from the additive manufacturing machine during manufacture of the part using a first set of build parameters. The first set of build parameters is received. An evaluation parameter is determined based on the first set of build parameters and the received sensor data. Thermal data is generated based on a thermal model of the part derived from the first set of build parameters. A first algorithm is applied to the received sensor data, the determined evaluation parameter, and the generated thermal data to produce a second set of build parameters, the first algorithm being trained to improve the evaluation parameter. The second set of build parameters is output to the additive manufacturing machine to produce a second part.