Computational Tapered and Cylinder Roller Bearings

This monograph presents computational models that describe electro-mechanical characteristics of tapered and cylinder roller bearings in various industrial applications. Applying the Levenberg-Marquardt’s algorithm to solving strongly nonlinear coupled equation systems, the computational models consisting of many circular slices per rolling element enable computations of the local Hertzian pressures at the elastohydrodynamic (EHD) contact area, the relating oil-film thickness in elastohydrodynamic lubrication (EHL), the limiting voltage of electro-pitting, bearing frictions, and fatigue lifetimes of the bearings for various load spectra. Using the best-known machine-learning method for clustering, the load spectrum is clustered in k cluster means based on the invariant damage number to accelerate the load spectrum. Furthermore, the accelerated load spectrum is used for the testing procedure of the bearings to reduce the testing time and costs as well.

The target audience of this book primarily comprises graduate students in mechanical engineering and practicing engineers of electro-machines and transmission systems who want to computationally design tapered and cylinder roller bearings for the automotive industry and other industries, and to deeply dive into these relating working fields.

Dr. Hung Nguyen-Schafer (KIT, Ph.D. Karlsruhe in 1989) has more than 30 years of experience in the automotive industry at Robert Bosch GmbH, Bosch Mahle Turbo Systems, and EM-motive. His various working areas are gasoline and diesel direct injection systems, fuel supply systems, anti-breaking systems, automotive turbochargers, fuel-cell vehicles, hybrid/electric vehicles, and transmission system for eMobility.