Optimization of face milling process parameters by GRA with deep cryogenic treated milling cutter

Cryogenic based machining has significant consideration in both research as well as in the industry because it will improve the machinability even on difficult to machine the materials, hence the tool life increases, in which it will further significantly improve the productivity in machining. Despite of the industrial usage of cryogenic machining systems, it has a considerable research gap in the selection
and identification of cutting parameters for cryogenic based machining. Because of its wide application, Taguchi’s rocess parameters optimization technique is applying extensively to identify the optimized process parameters. Taguchi method is employed in this investigation for studying the effects of cryogenic treatment on carbide face milling-cutting tool for machining the EN-8D work material. This work analyzes the influence of various operating parameters on rate of removing material and surface quality through Taguchi Grey Relational Analysis (GRA). The optimal operating conditions determined in terms of cutting speed, depth of cut, and feed rate. In order to ensure influence on tool treatment, the cryogenically treated tool (CT) and non-cryogenic treated tool (NCT) included for Scanning Electron Microscopy
(SEM) examination. Finally, it was observed that the cryogenically treated industrial carbide tool is out-
performed than the conventional non-cryogenic treated tool under the same operating environment in terms of wear resistance on cutting edges and hardness on the tool surface.