Effects of Machining Parameters in Turning Process for grooving operation on aluminium & Optimizing by the application of Taguchi Method & MINITAB 14 software

Abstract

This study based on optimization of turning process (Grooving) by the effects of machining parameters using Taguchi technique to improve the quality of manufactured product and engineering development for analysis of variation. . Taguchi orthogonal array is generated with three levels of turning parameters by using software Minitab 14. In the first step nine experiments are performed and material removal rate (MRR) is calculated. Taguchi method gives the importance of Analsing the response variation using the signal–to–noise (S/N) ratio, resulting in reducing of quality characteristic changes due to uncontrollable parameter. The metal removal rate was taken as the quality characteristic with the concept of "the larger-thebetter". The S/N ratio for the larger-the-better Where n is the number of measurements in a trial/row, in this case, n=1 and y is the measured value in a run/row. The S/N ratio values are calculated by taking into consideration by using software Minitab 14. The MRR values measured from the analysis and their optimum value for maximum material removal rate . Aluminium is used as the work piece material for the experimentation to optimize the Material Removal Rate. The bars used are of diameter 40 mm and length 100 mm. There are three machining parameters i.e. Spindle speed, Depth of cut. Feed rate. The study aimed at evaluating the best process which could satisfy requirements of both quality and as well as productivity. This study investigates the effects of various parameters.

Authors and Affiliations

Arjun Avinash Abhyankar, Amogh Avinash Abhyankar

Keywords

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  • EP ID EP21570
  • DOI -
  • Views 208
  • Downloads 3

How To Cite

Arjun Avinash Abhyankar, Amogh Avinash Abhyankar (2016). Effects of Machining Parameters in Turning Process for grooving operation on aluminium & Optimizing by the application of Taguchi Method & MINITAB 14 software. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(1), -. https://europub.co.uk/articles/-A-21570