Title :
Monte-Carlo statistical analysis of non-linear flying attitude
Author :
Hsia, Yiao-Tee ; Chang, Ciuter
Author_Institution :
Read-Rite Corp., Milpitas, CA, USA
fDate :
11/1/1995 12:00:00 AM
Abstract :
A non-linear model is derived to describe the statistics of the flying attitude of air bearing slider. A Monte Carlo numerical simulation combined with the non-linear model is applied to study the statistics of the flying attitude of an air bearing slider with twelve parameters. The results from numerical simulation indicate that the non-linearity of the flying attitude on the process parameters affects the mean, variance and the shape of the flying attitude distribution
Keywords :
Monte Carlo methods; magnetic heads; Monte-Carlo statistical analysis; air bearing slider; flying attitude; nonlinear model; numerical simulation; Attitude control; Disk drives; Magnetic levitation; Manufacturing processes; Nonlinear equations; Numerical simulation; Rails; Shape; Statistical analysis; Statistics;
Journal_Title :
Magnetics, IEEE Transactions on
