Remaining Tool Life Prediction Based On Force Sensors Signals During End Milling Of Stavax ESR Tool Steel

• Main Authors: Mebrahitom, A., Seow , Xiang, Azmir, Azhari, Tamiru, A.
• Format: Conference or Workshop Item
• Language: English; English
• Published: American Society of Mechanical Engineers (ASME) 2017
• Subjects: TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/19269/1/Remaining%20tool%20Life%20prediction%20based%20on%20force%20sensors%20signals%20during%20end%20milling%20of%20Stavax%20ESR%20tool%20steel.pdf; http://umpir.ump.edu.my/id/eprint/19269/7/Remaining%20tool%20Life%20prediction%20based%20on%20force%20sensors%20signals%20during%20end%20milling%20of%20Stavax%20ESR%20tool%20steel%201.pdf; http://umpir.ump.edu.my/id/eprint/19269/

This paper focuses on the prediction of the Remaining Useful Life (RUL) of a carbide insert end mill. As tool life degradation due to wear is the main limitation to machining productivity and part quality, prediction and periodic assessment of the condition of the tool is very helpful for the machin...