生産加工・工作機械部門講演会 : 生産と加工に関する学術講演会
Online ISSN : 2424-3094
セッションID: A38
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機械学習による低剛性の切削加工対象物の変位量推定手法の開発
(加工条件と変位量の画像化)
*杉田 俊平金子 順一阿部 壮志掘尾 健一郎
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When estimating the effect of elastic deformation of a workpiece generated during machining on machining errors in machining of low rigidity objects, it is necessary to continuously carry out finite element analysis in the shape in the middle of machining and increase in calculation time becomes a problem. Then, in this study, was attempted to drastically reduce processing time by forming a data set obtained by making processing conditions and displacement distribution information after processing to two-dimensional image information, to develop a method guessing displacement distribution by machine learning. In this paper, we explain the results obtained for the shape of the blade.
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