公开(公告)号：US11511491B2

公开(公告)日：2022-11-29

申请号：US16184481

申请日：2018-11-08

Applicant: General Electric Company

Inventor： Voramon Supatarawanich Dheeradhada ,  Natarajan Chennimalai Kumar ,  Vipul Kumar Gupta ,  Laura Dial ,  Anthony Joseph Vinciquerra ,  Timothy Hanlon

IPC: B29C64/393 ,  B29C64/10 ,  G06N20/00 ,  G06F30/17 ,  G06K9/62 ,  B33Y10/00 ,  B33Y40/00 ,  B33Y50/02 ,  G06F111/04 ,  G06F119/18

Abstract: Methods and systems for optimizing additive process parameters for an additive manufacturing process. In some embodiments, the process includes receiving initial additive process parameters, generating an uninformed design of experiment utilizing a specified sampling protocol, next generating, based on the uninformed design of experiment, response data, and then generating, based on the response data and on previous design of experiment that includes at least one of the uninformed design of experiment and informed design of experiment, an informed design of experiment by using the machine learning model and the intelligent sampling protocol. The last process step is repeated until a specified objective is reached or satisfied.