Akademik Veri Yönetim Sistemi
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, cilt.32, sa.4, ss.1077-1088, 2017 (SCI-Expanded)
In this work, the relation of the tool wear and machining parameters with the Acoustic Emission (AE) signals are investigated. SAE 1030 forged steel workpart is subjected to the machining to determine the effective machining parameters namely, cutting speed and feed rate. The experiments are performed for 1.5 mm constant depth of cut in a CNC type turning machine by using 130, 140, 150 m/min cutting speed and 0.15, 0.20, 0.30 mm/rev feed rate. The suitable cutting speed and feed rate is determined as 140 m/min and 0,20 mm/rev respectively. The AE responds of the tool wear are analyzed for machining time of 5, 10, 15 and 20 minute separately for two different type carbide tool inserts (IC8250, IC9250) by using the decided cutting parameters. The results show that, the AE values increase with increasing the flank wear (VB). It is observed finally that the relationship between the tool wear and AE is strong and the tool wear can be monitored by using the AE signals. The wear models of the cutting tools have been derived in the final section.