Parametric optimization to improve the machining process by using Taguchi method: A review

• Published in: Materials today : proceedings Vol. 47; pp. 2709 - 2714
• Main Authors: Patel, N.S., Parihar, Priyansh L., Makwana, Jay S.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 2021
• Subjects: Machining processes; Optimization; Surface roughness; Taguchi; Machining processes; Taguchi; Surface roughness; Optimization
• ISSN: 2214-7853; 2214-7853
• DOI: 10.1016/j.matpr.2021.03.005

In the new era of manufacturing science, day by day, evaluation of machining processes has occurred. To achieve a high level of surface finish is a very crucial part of all machining processes. This paper illustrates a literature review on Parametric Optimization of numerous Machining Processes such as drilling, reaming, milling, turning, etc. by using Taguchi method, Analysis of Variance (ANOVA), Response Surface Methodology (RSM) and others. An extensive literature survey on databases of Elsevier, Taylor & Francis, Springer, IOPscience, Emerald, etc., was used to investigate the importance of parametric optimization in machining processes. We found various researchers' work on different parameters such as cutting speed, feed, and depth of cut with different types of materials to improve machining processes, significantly to improve surface finish or reduce surface roughness. In view of the survey, it is to be inferred that to improve the machining processes or aspects of the surface finish, and it is essential to develop a cost-effective method. This paper represents a review of various approaches to improve the machining processes, which will help the researchers/industrialists to find out the new way of machining.