Analysis of the Tool Condition Monitoring System Using Fuzzy Logic and Signal Processing

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.