Bhateja, A., Bhardwaj, J., Singh, M. and Pal, S.K. (2013) Optimization of Different Performance Parameters i.e. Surface Roughness, Tool Wear Rate & Material Removal Rate with the Selection of Various Process Parameters Such as Speed Rate, Feed Rate, Specimen Wear, Depth of Cut in CNC Turning of EN24 Alloy Steel—An Empirical Approach. The International Journal of Engineering and Science, 2, 103-113.

has been cited by the following article:

• 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.