公开(公告)号：US20200272127A1

公开(公告)日：2020-08-27

申请号：US16284409

申请日：2019-02-25

Applicant: General Electric Company

Inventor： Subhrajit ROYCHOWDHURY ,  Alexander CHEN ,  Xiaohu PING ,  John Erik HERSHEY

IPC: G05B19/4099 ,  B33Y50/00 ,  B29C64/386

Abstract: According to some embodiments, system and methods are provided comprising receiving, via a communication interface of a part parameter dictionary module comprising a processor, geometry data for a plurality of geometric structures forming a plurality of parts, wherein the parts are manufactured with an additive manufacturing machine; determining, using the processor of the part parameter dictionary module, a feature set for each geometric structure; generating, using the processor of the part parameter dictionary module, one of a coupon and a coupon set for the feature set; generating an optimized parameter set for each coupon, using the processor of the part parameter dictionary module, via execution of an iterative learning control process for each coupon; mapping, using the processor of the part parameter dictionary module, one or more parameters of the optimized parameter set to one or more features of the feature set; and generating a dictionary of optimized scan parameter sets to fabricate geometric structures with a material used in additive manufacturing. Numerous other aspects are provided.

公开(公告)号：US20210325849A1

公开(公告)日：2021-10-21

申请号：US17360790

申请日：2021-06-28

Applicant: General Electric Company

Inventor： Subhrajit ROYCHOWDHURY ,  Alexander CHEN ,  Xiaohu PING ,  John Erik HERSHEY

IPC: G05B19/4099 ,  B33Y50/00 ,  B29C64/386

Abstract: According to some embodiments, system and methods are provided comprising receiving, via a communication interface of a part parameter dictionary module comprising a processor, geometry data for a plurality of geometric structures forming a plurality of parts, wherein the parts are manufactured with an additive manufacturing machine; determining, using the processor of the part parameter dictionary module, a feature set for each geometric structure; generating, using the processor of the part parameter dictionary module, one of a coupon and a coupon set for the feature set; generating an optimized parameter set for each coupon, using the processor of the part parameter dictionary module, via execution of an iterative learning control process for each coupon; mapping, using the processor of the part parameter dictionary module, one or more parameters of the optimized parameter set to one or more features of the feature set; and generating a dictionary of optimized scan parameter sets to fabricate geometric structures with a material used in additive manufacturing. Numerous other aspects are provided.

公开(公告)号：US20200272128A1

公开(公告)日：2020-08-27

申请号：US16287192

申请日：2019-02-27

Applicant: General Electric Company

Inventor： Subhrajit ROYCHOWDHURY ,  Vipul Kumar GUPTA ,  Randal T RAUSCH ,  Justin John GAMBONE ,  Xiaohu PING ,  Alexander CHEN ,  John Erik HERSHEY

IPC: G05B19/4099 ,  G05B13/02 ,  B33Y50/02

Abstract: According to some embodiments, system and methods are provided comprising receiving, via a communication interface of a platform comprising a segmentation module and a processor, a defined geometry for one or more geometric structures forming one or more parts, wherein the parts are manufactured with an additive manufacturing machine; generating a build file including an initial parameter set to fabricate each part; fabricating the part based on the build file; receiving sensor data for the fabricated part; generating a parameter set for each layer that forms the part, via execution of an iterative learning control process for each layer; generating raw power data for each layer that forms the part, using the processor, based on the generated parameter set; applying a noise reduction process to the raw power data; and generating a segmented build file, using the segmentation module, via application of the noise reduction process on the raw power data. 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.