Welcome to International Journal of Emerging Technologies in Engineering Research (IJETER)


Volume 6, Issue 12, December (2018)

S.No Title & Authors Full Text
1 Optimization of Cutting Parameters in CNC Turning Operation for Optimized Surface Roughness and Material Removal Rate using Full Factorial Design of Experiment Approach
Prateek Vaishnav, Gaurav Purohit
Abstract - Obtaining desired surface roughness and Higher Material Removal Rates (MRR) is an essential prerequisite for any unmanned computer numeric controlled (CNC) machinery. In the present work, it is observed that, using full factorial design of experiment (DOE) approach, the quality of surface finish and MRR can be achieved within a reasonable degree of accuracy by taking highly affecting independent parameters into account. In the present paper, an attempt has been made to optimize the cutting conditions to get desired surface roughness and higher MRR in turning of 8011 Aluminium Alloy. The experiments were designed using Taguchi full factorial design of experiment approach in which (3^3) 27 experimental runs were conducted for all the combinations of cutting parameters. The orthogonal array, signal to noise ratio and analysis of variance (ANOVA) was 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 rates. The results obtained by this research will be useful for various industries and researchers working in this field.
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