Invention Grant
- Patent Title: Transfer learning/dictionary generation and usage for tailored part parameter generation from coupon builds
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Application No.: US17360790Application Date: 2021-06-28
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Publication No.: US11609549B2Publication Date: 2023-03-21
- Inventor: Subhrajit Roychowdhury , Alexander Chen , Xiaohu Ping , John Erik Hershey
- Applicant: General Electric Company
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- Agency: Hanley, Flight & Zimmerman, LLC
- Main IPC: G05B19/4099
- 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.
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Information query
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