Parametric Optimization of Electrochemical Machining Using Signal-To-Noise (S/N) Ratio
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 4
Abstract
Mild steel and aluminium are used as the work piece material for carrying out the experimentation to optimize the Material Removal Rate and surface roughness. There are four machining parameters i.e. Voltage, Electrolyte flow rate, Tool feed rate and Current. Taguchi orthogonal array is designed with three levels of machining parameters with the help of software Minitab 15. Nine experiments are performed and material removal rate (MRR) and surface roughness is calculated. Metal removal rate and surface roughness are the most important output parameters, which decide the cutting performance. Taguchi method stresses the importance of studying the response variation using the signal–to–noise (S/N) ratio, resulting in minimization of quality characteristic variation due to uncontrollable parameter. The metal removal rate was considered as the quality characteristic with the concept of "the larger-the-better" and surface roughness was considered with the concept of "the smaller-the-better". The S/N ratio values are calculated by taking into consideration with the help of software Minitab 15. The MRR and surface roughness values measured from the experiments and their optimum value for maximum material removal rate and minimum surface roughness.
Authors and Affiliations
Bhawna Bisht
Keywords
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