Abstract: Prediction of surface roughness and dimensional inaccuracies is an essential prerequisite for any unmanned computer numeric controlled (CNC) machinery. This prediction technique is also important for optimization of machining process. In the present work, it is observed that, using Taguchi approach, the quality of surface finish can be predicted within a reasonable degree of accuracy by taking the amplitude of vibration of tool holder into account. Surface roughness and tool vibrations are the critical factors which influence the quality of the machined parts.
In this research paper, an attempt has been made to optimize the cutting conditions to get predicted surface roughness in turning of 6061-T6511 Aluminium alloy rod. The experiment was designed using Taguchi method and 9 experimental runs were conducted for various combinations of cutting parameters. The orthogonal array, signal to noise ratio and analysis of variance (ANOVA) were employed to study the performance characteristics at different conditions. In order to analyse the response of the system, experiments were carried out at various spindle speeds, depth of cut and feed rate. The results obtained by this research will be useful for various industries and researchers working in this field.

Keywords: CNC; Surface roughness; Taguchi method; orthogonal array; ANOVA

PDF | DOI: 10.17148/IARJSET.2023.10407

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