Over the years, machining has been one of the pivotal manufacturing processes used in industries to produce superior products where multiple aspects regulate their efficacy. In this work, the motive is to study the effect of tool rake and approach angle in turning of mild steel specimens while varying process parameters such as spindle speed, feed rate and depth of cut. Experiments were designed using Taguchi L 9 orthogonal array. For every trail, cutting tool vibrations were recorded using tri-axial accelerometer connected to a fast Fourier transform analyser after which surface roughness tests were conducted. Analysis of variance was performed to obtain significant parameters. Results revealed that spindle speed and feed rate predominantly affect surface roughness with approach angle contributing certain level of influence. Spindle speed highly influences vibrations in the tangential and radial direction while depth of cut and rake angle have significant effect on vibrations in the axial direction.
In this research paper, machining tool vibration occurs because of relative motion between the work piece and the cutting tool, which influences the surface finish of the machined part and the lifespan of the cutting tool. Some of the parameters that influence machining tool vibration include feed rate, depth of cut and spindle speed. In this study, experimentation is carried out on a conventional vertical milling machine to investigate the influence of machining tool vibration on surface roughness during face milling operation of Al6082 alloy with indexable carbide inserts. The eutectic phase for joint of Al6082 is β-Al5FeSi eutectic phase. The machining is done in dry condition under the different combinations of Machining parameters designed through Taguchi L9 orthogonal array. The machining tool vibrations are captured with the help of tri-axial accelerometer. Analysis of variance (ANOVA) technique used to formulate the experimental data to analyze the effect of each parameter and machining tool vibration on surface roughness.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.