Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2065
Title: Selection of optimal cutting conditions and coolant flow rate (CFR) for enhancing surface finish in milling of aluminium alloy
Authors: Singh K
Kumar Singh A
Chattopadhyay K.D.
Keywords: ANOVA
CFR
Face milling
MQL
Surface finish
Issue Date: 2020
Publisher: Elsevier Ltd
Abstract: Minimum quantity lubrication (MQL) is a traditional and worldwide accepted method for machining. To achieve better economy, environment and human wellness, MQL is preferred instead of flood cooling technique. In this study, the MQL method is applied during face milling of Al-6061using TiN coated carbide inserts. Coolant flow rate (CFR) along with cutting velocity and feed per revolution is selected as input process parameters to optimize the surface finish. In the design of experiments (DOE), Taguchi L9 orthogonal array is chosen for experimentation. Signal to noise (S/N) based on 'smaller the better' (surface finish) is calculated for each experiment. Analysis of means is applied to evaluate the optimum settings of input parameters. Significance and contribution of each parameter are evaluated by using analysis of variance (ANOVA). Results of ANOVA show that feed per revolution has a major contribution of 69.947% on surface finish. � 2019 Elsevier Ltd. All rights resrved.
URI: 10.1016/j.matpr.2019.11.076
http://hdl.handle.net/123456789/2065
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