公开(公告)号：US11609549B2

公开(公告)日：2023-03-21

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 ,  B29C64/153 ,  B22F10/20 ,  B22F10/30

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：US10884396B2

公开(公告)日：2021-01-05

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: G06T19/00 ,  G05B19/4099 ,  B33Y50/02 ,  G05B13/02

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：US11079739B2

公开(公告)日：2021-08-03

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 ,  B29C64/153 ,  B22F10/20 ,  B22F10/30

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.