Open AccessStudy of Wear Behaviour of Titanium Grade 2 Using Application of Taguchi Method
Author(s) -
Ajay K Kahale
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.39707
Subject(s) - tribometer , reciprocating motion , taguchi methods , materials science , titanium , linear regression , metallurgy , composite material , mathematics , statistics , tribology , computer science , artificial intelligence , bearing (navigation)
Titanium Grade 2 sample piece were subjected to wear on standard linear reciprocating tribometer machine for dry sliding condition in the constant temperature. Taguchi method were use to predict the wear rate against parameter such as Load, Frequency, and time. Signal to noise ratio and ANOVA were used study the impact of these three parameter on the wear rate. In conclusion, the major statistical factor affecting wear rate is load, followed by frequency and duration. Multiple linear regression equations are developed. Keywords: Titanium grade 2, wear rate, Tribometer, ANOVA