Abstract
Cryogenic-assisted hard turning presents an environmentally friendly alternative to manufacture parts with high dimensional accuracy and high surface integrity. Nevertheless, tool wear during hard turning is still a crucial aspect to control due to its high impact on the final part quality. The presence of tool flank wear is reported to alter surface characteristics of the machined component affecting the performance of the final part. In this paper a numerical tool wear model is presented based on a Finite-Difference Method (FDM) thermal approach. This model enables the estimation of tool flank wear evolution during cryogenic-assisted machining providing a process planning tool for the manufacturing industry to optimize cutting conditions. The capability of the model to predict tool flank wear is validated with experimental results obtained during cryogenic subcritical CO2-assisted hard turning tests of bearing steel AISI 52100.
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