Abstract

Abstract Nowadays, mechanical machining processes are involving the use of different cutting parameters. Because cutting parameters help to improve machining performance as well, as prolong tool life by reducing temperature and friction during machining. This system is very effective to reduce the heat in a machine zone. Optimum cutting parameters are very important to reduce the surface roughness, temperature and increase metal removal rate and tool life. In the present study titanium, alloys were used as a work material because of its inherent properties like high heat resistance, low density compared to steel. The application in all most all industries in aerospace, biomedical etc., three different carbide-cutting tools selected to machine titanium materials. Different speeds, feed rates and depth of cut are used as an input machining parameters. Minitab software was used to design the experimental plan to reduce wastage of material, cutting tools and machining time with help of Taguchi L9 array. Experimental results show that feed rate is a most dominating factor on surface roughness, depth of cut is the most influential factor on tool life and speed is the most influential parameter on temperature followed by the depth of cut. Finally experimental values are compared with predicted values and are in good agreement with machining conditions.

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