TITLE:
Analysis of the Tool Condition Monitoring System Using Fuzzy Logic and Signal Processing
AUTHORS:
Chidambaram Ramesh Kannan, Palani Padmanabhan
KEYWORDS:
Vibration, Cryogenic Temperature, Tool Wear, Fuzzy Logic
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.9,
July
28,
2016
ABSTRACT: In the present
investigation, an attempt was made to facilitate tool condition monitoring
system on cryogenic treated using
fuzzy logic and signal processing. Cryogenic treatment is carried out at -196°C for 48 hours followed on
tempering at 200°C for 2 hours. The AISI4340 steel is machined with
cryogenically treated inserts. Speed, feed and depth of cut are selected as
input parameters. The results of the proposed method are encouraged in
minimizing tool vibration, flank and crater wear. Good correlation is shown
between the neural fuzzy and experimental data. As a result, it is found that
cryogenically treated inserts have superior tool wear and vibration resistance,
and confirmed by conducting further confirmation tests.