Abstract

Hard machining technology has attracted much attention in the field of metal cutting and has been applied more widely in production practice, in which hard milling exhibits the outstanding productivity while ensuring high dimensional accuracy and good machined surface quality. The main objective of this paper is to investigate the influence of input parameters (cutting speed, nanoparticle concentration, and feed rate) on machined surface roughness Ra in hard milling of SKD 11 tool steel under Minimum Quantity Cooling Lubrication (MQCL) condition. Box-Behnken experimental planning design was used to build up the experimental matrix. The obtained results indicated that feed rate was the factor having the most influence while the MoS2 nanoparticle concentration and cutting speed also cause the significant effects. Moreover, the proper values of these input variables were provided to be the useful technical guides achieve the better machined surface roughness in the further studies and machining practice.