Currently, manufacturing industries focus on intelligent manufacturing. Prediction and monitoring of tool wear are essential in any material removal process, implementation a condition system (TCMS) is necessary. This work presents the flank prediction during hard turning EN8 steel using deep learning (DL) algorithm. The operation conducted with three levels selected parameters. CNMG 120408 gra...

Abstract The dry machining strategy has recently received high attention in the field of metal cutting as it can eliminate environmental impacts associated with usage fluids. However, high-generated heat and severe tool wear are usually observed for operations. One suggested techniques to improve performance is utilize textured tools, reducing friction at chip-tool interface. In this study, thr...

Abstract Titanium alloy has been applied in the field of aerospace manufacturing for its high specific strength and hardness. Nonetheless, these properties also cause general problems machining, such as processing inefficiency, serious wear, poor workpiece face quality, etc. Aiming at above problems, this paper carried out a comparative experimental study on titanium milling based CAMC BEMC. Th...

With the rapid development of high-precision-device technology, new demands are put forward for micro milling. The size effect and low cutting energy milling make process expensive difficult, especially Ti-6Al-4V alloys. wear micro-milling cutter lacks corresponding international standards its mechanism is complex. In this paper, four kinds cutters with different states were obtained by designi...

High-speed machining of γ-TiAl alloy is a significant challenge due to high cutting temperatures. From the perspective environmental protection and improving tool life, appropriate cooling strategies should be adopted. Compared with dry conventional flood conditions, feasibility in cryogenic LN2 conditions was discussed. The force, wear its mechanism, surface roughness, as well sub-surface morp...