
Statistics-Based Measuring Point Selection for Monitoring the Thermal Deformation of a Workpiece in End-Milling
Author(s) -
Ming Yang,
Feng Zhang,
Koji Teramoto
Publication year - 2022
Publication title -
international journal of automation technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.513
H-Index - 18
eISSN - 1883-8022
pISSN - 1881-7629
DOI - 10.20965/ijat.2022.p0562
Subject(s) - machining , akaike information criterion , deformation (meteorology) , finite element method , process (computing) , mechanical engineering , point (geometry) , thermal , machine tool , materials science , computer science , structural engineering , engineering , mathematics , geometry , machine learning , composite material , physics , meteorology , operating system