ROLE OF TAGUCHI AND GREY RELATIONAL METHOD IN OPTIMIZATION OF MACHINING PARAMETERS OF DIFFERENT MATERIALS: A REVIEW
Acta Electronica Malaysia (AEM)
Author: Om Prakash Singh, Gaurav Kumar, Mukesh Kumar
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Now a day’s quality of the product is highly concerned with production for the competition point of view. So, for enhancing the quantity and quality of the products with different machining like drilling, milling, grinding etc. must perform with their specific parameters. For optimizing the surface finish many approaches were used but among them taguchi and grey relational method is used repetitively. These methods are the best tools for optimizing of different machining parameters for improving surface finish and better MRR. In future for improving the machining rate we can also use other techniques like genetic algorithm and nature algorithm in manufacturing system.