Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering)

This work focuses on the critical aspect of estimating cutting tool wear due to the increasing demand for precision and efficiency in the manufacturing industry. Accurate prediction of tool wear is essential to maintain optimal manufacturing processes and avoid costly tool replacement. This paper presents an innovative method for monitoring and estimating the wear of uncoated carbide tools during hard and dry turning under laboratory conditions. The results revealed a flank wear mode based on wear at the insert edge. Optimal parameter settings are as follows: depth of cut 0.5 mm; feed 0.03 mm/rev; cutting speed 75 m/min. Under these parametric conditions, the flank wear are reduced to 48.87%, giving a tool life of 33.5 minutes. These results make it possible to adjust parameters and operations according to the conditions for adaptive control based on tool wear estimation in CNC machining.