Multi-objective optimization in CNC turning of S45C carbon steel using Taguchi and grey relational analyses

• Main Author: Ahmad Hisham, Ahmad Shah
• Other Authors: Dr. Azwan Iskandar Azmi
• Format: Thesis
• Language: English
• Published: Universiti Malaysia Perlis (UniMAP) 2019
• Subjects: Taguchi methods (Quality control); Machining processes; Turning process; CNC turning; Grey Relational Analysis; Carbon steel
• Online Access: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61880
• Institution: Universiti Malaysia Perlis

There are various types of machining process that have been introduced long time ago and yet still be used until now. From time to time, researchers have never stop in seeking for an improvement for these processes in every aspect. One of the famous machining processes that are commonly used is turning process. Interestingly, the optimization of single performance measures has been successfully reported by many of the researchers. However, the multi-objective optimization is more difficult and challenging to be studied due to its complexity. This is because an improvement of one performance measure may lead to degradation of other performance measure. In response to that, the study of multiobjective optimization in CNC turning of S45C carbon steel by using Taguchi and Grey Relational Analysis (GRA) method has been reported in this study. Based on grey relational analysis, a grey relational grade (GRG) is computed to optimize the machining parameters of CNC turning process with multiple performance measures which is surface roughness, material removal rate (MRR), tool wear and power consumption of the machine. In this study, two important parameters have been selected, namely spindle speed and feed rate while the depth of cut was set at fixed value. A design of experiment methodology was employed to determine the relationships between machining parameters with the performances measures. Through this method, the best setting parameter was found at spindle speed of 3000 RPM and feed rate of 0.2 mm/rev and results from ANOVA shows that spindle speed is the main contributor to the change of performance measures with almost 70% contribution. The findings from this study will benefit in term of knowledge between the machining parameters with the performance measures.