Performance Evaluation of PVD and CVD multi Coated tool on AISI 304 Austenitic Stainless Steel

Mechanical Engineering

ABSTRACT Nowadays manufacturing industries are concerned with dimensional accuracy and Surface finish. The quality of manufactured products must be controlled in all manufacturing stages to reduce the number of rejected items and then reducing the total production cost. In the present day world, coated tools are used instead of uncoated tools for machining process, as they improve certain machining characteristics. Surface roughness (Ra) is one of the specified customer requirements in a machining process. It is essential to consider economy in addition to quality in any machining operations. Material Removal Rate is one of the Important feature for Manufacturer, they very much concerned of higher Material removal rate (MRR), productivity and cost effectiveness are the desired requirements for them. The higher value of MRR reduces the machining time and finally productivity of the system increases. In order to obtain optimal cutting parameters, manufacturing industries have depended on the use of handbook based information which leads to decrease in productivity due to sub-optimal use of machining capability this causes high manufacturing cost and low product quality. Hence, the proper selection of cutting tools and process parameters is essential to achieve the desired Material Removal Rate. Up till most of the Research work has been carried out by uncoated and coated carbide tools. No work of experimentation is Reported with PVD [TiAlN + Cr2O3] Coated tool by Researchers, also less work reported on Influence of tool geometry ( Nose Radius) on Material Removal Rate. So the aim of this Experimental Investigation is to evaluate the Performance of PVD and CVD Multi layered Coated tool on AISI304 Austenitic stainless Steel, also investigate the effect of process parameters on Material Removal Rate (MRR) on CNC Lathe under Dry turning. In the Present work a Bar of Ø 28 x 80 mm long of AISI 304 Austenitic Steel is machined on CNC lathe, three process parameters (Cutting Speed m/min, feed rate mm/rev, and Depth of Cut) have been identified their influence on Output Response of Material Removal rate was investigated by using Taguchi’s L9 Orthogonal Array. ANOVA is also applied to investigate the Optimum process parameters on Material Removal Rate.

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