An investigation of tool-wear monitoring in a high-speed machining process

On-line Cutting Tool Condition Monitoring in Machining Processes Using Artificial Intelligence

“…The BN diagnosed the correct state with a 60% confidence level in 16 of 18 cases. In (Haber et al, 2004) is introduced an investigation of cutting tool wear monitoring in a HSM process based on the analysis of different signals signatures in time and frequency domains. The authors used sensorial information from dynamometers, accelerometers, and acoustic emission sensors to obtain the deviation of representative variables.…”

Determination of Surface Qualities on Inclined Surface Machining with Acoustic Sound Pressure

“…Ravindra et al [15] worked on acoustic emissions for tool condition monitoring in metal cutting. Moreover, Haber et al [16] studied tool-wear monitoring in a high-speed machining process on the basis of the analysis of different signals' signatures in time and frequency domains. In their study, time and frequency domain analyses were confirmed wwith the relevance of cutting-force and vibration signals' signatures for tool-wear monitoring in High-Speed Machining processes.…”

Fuzzy Parametric Deduction for Material Removal Rate Optimization

“…The existing optimization researches for Computer Numerical Controlled (CNC) turning were either simulated within particular manufacturing circumstances (Sukontanakarn and Parnichkun, 2009;Lin et al, 2001;Haber et al, 2004;Meng et al, 2000) or achieved through numerous frequent equipment operations (Kopac, 2002;Tosun and Ozler, 2004). Nevertheless, these are regarded as computing simulations and the applicability to real world industry is still uncertain.…”