Authors:
D. Brahmeswara Rao,M.Balaji,P.B.G.S.N.Murthy,K.Venkata Rao,DOI NO:
https://doi.org/10.26782/jmcms.2020.07.00046Keywords:
Surface Roughness,Micro Milling,Tool wear,Taguchi,LDV,Multi Response Optimization,Abstract
The present work is aimed to investigate the influence of process parameters namely cutting speed, feed and uncut chip thickness ontool life in micro milling of Ti-6Al-4V alloy. Twenty Seven experiments have been planned as per full factorial design with three levels of each parameter using carbide end mill cutters. Surface roughnessand vibration amplitude are considered as responses to evaluate the tool life and to identify significance of input process parameters. In this study, a non-contact sensor, Laser Doppler Vibrometer (LDV) was used to measure the vibration of tool in terms of AcoustoOptic Emission (AOE) signals. A high-speed Fast Fourier Transform (FFT) analyser was used to transform the acousto optic emission signals in to useful signals like vibration amplitude. In the analysis of surface roughness and amplitude of vibration, optimum cutting parameters were found as 5000 r.p.m. of spindle speed, 40 mm/min of feed rate and 25.6 µm of uncut chip thickness.Refference:
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