Abstract
AbstractThe friction coefficient of sintered alumina with nano-crystalline titania (up to 4 wt.%) is investigated in relation with sliding frequency and normal load by computational method. The proposed work studies the variation of friction coefficient with change in sliding frequency up to 60 Hz and normal load up to 1 kgf independently, and the data is used to develop an algorithm following the best fit topology. Among various curve fitting techniques like polynomial fit of degree two, exponential fit of degree one and two, smoothing spline and Weibull fit, with minimum root mean square error, cubic spline fit method is adopted to form smooth curves in MATLAB. The algorithm is validated to predict the addition level of titania in alumina for given friction coefficient and sliding frequency or normal load. The result lies within a maximum error of 4.43% for cubic spline fit.KeywordsCoefficient of frictionTiO2-Alumina systemPredictive algorithmRMSECubic spline fit
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
