Open AccessUnderstanding the concept of Taguchi Technique Optimization of Material Surface Roughness and Removal Rate for metals in CNC Turning Operation: A Review
Author(s) -
Shailesh Kumar,
Bharat Bhushan Vashist
Publication year - 2022
Publication title -
research review international journal of multidisciplinary
Language(s) - English
Resource type - Journals
ISSN - 2455-3085
DOI - 10.31305/rrijm.2022.v07.i01.006
Subject(s) - taguchi methods , orthogonal array , machining , surface roughness , mechanical engineering , design of experiments , process (computing) , power consumption , engineering drawing , power (physics) , manufacturing engineering , engineering , computer science , process engineering , materials science , mathematics , statistics , composite material , machine learning , physics , quantum mechanics , operating system
The objective of present study is to reviews optimal setting of number of opportunities in research of influence of process parameters, tool geometry and cutting environment for different machining operations on metals and power consumption during turning of different kind of work material using various optimization techniques like Taguchi approach, genetic algorithm and RSM. Taguchi robust design technique using L., orthogonal array was used for experimental run reviews. ANOVA is also used to find significance and percentage contribution of parameters for quality characteristics.