公开(公告)号：EP4394527A1

公开(公告)日：2024-07-03

申请号：EP23206442.8

申请日：2023-10-27

申请人： Raytheon Technologies Corporation

发明人： Mondal, Sudeepta ,  Sarkar, Soumalya ,  Gangloff, John Joseph ,  Zhao, Wenping ,  Xing, Lei

IPC分类号： G05B13/02 ,  B29C65/02 ,  G06N3/045

CPC分类号： G05B13/027 ,  B29C65/02 ,  G06N3/045 ,  G06N5/01 ,  G06N20/20 ,  G06N7/01 ,  G06N20/00

摘要： A system having a set of instructions executable by the system for multi-source machine learning modeling framework for process property mapping of thermoplastic composite manufacturing, the set of instructions comprising: an instruction to select a surrogate machine learning model from a suite of machine learning networks; an instruction to involve uncertainty quantification associated with predictions which provide a quantified estimate of how much the machine learning model can be trusted; an instruction to provide multi-physics process model output to the machine learning model; an instruction to provide heterogeneous data sources for use by the machine learning model; an instruction to determine estimates of optimal process parameters employing budget-constrained multi-fidelity process optimization; an instruction for deployment the multi-source machine learning model in the implementation of carbon fiber reinforced thermoplastic polymer induction welding; and an instruction to perform induction welding with an optimized recipe.