Superficial Hardening of AISI1045 Steel in High Efficiency Deep Grinding Through Optimization Approaches, Taguchi Method and SA Algorithm

The major problem in material removal process specially grinding is heat generation during the process and thus residual stress on the surface of product. Therefore، optimization of High Efficiency Deep Grinding (HEDG) process is the main goal of this study in order to reduce heat and residual stress and also increase strength and surface hardness of AISI1045 steel by optimization of the process. In other words، the effects of main parameters e. g. depth of cut، wheel speed، workpiece speed and cross feed on surface hardness have been investigated in this study. Operating parameter optimizing through SA method in MATLAB''s toolbox is so that the produced tensile residual stress and temperature decrease and meanwhile surface microhardness improves. Beside this، the results are validated by measuring and analyzing surface microhardness، surface temperature and forces. The obtained results reveal a good agreement between the optimization results and experimental observations.