z-logo
open-access-imgOpen Access
Statistics-Based Measuring Point Selection for Monitoring the Thermal Deformation of a Workpiece in End-Milling
Author(s) -
Mengmeng 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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom