ROLE OF TAGUCHI AND GREY RELATIONAL METHOD IN OPTIMIZATION OF MACHINING PARAMETERS OF DIFFERENT MATERIALS: A REVIEW
Journal Title: Acta Electronica Malaysia (AEM) - Year 2019, Vol 3, Issue 1
Abstract
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.
Authors and Affiliations
Om Prakash Singh, Gaurav Kumar, Mukesh Kumar
Keywords
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- EP ID EP479974
- DOI 10.26480/aem.01.2019.19.22
- Views 59
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