Reprint
Advances in Bearing Lubrication and Thermal Sciences
Edited by
October 2022
296 pages
- ISBN978-3-0365-5342-9 (Hardback)
- ISBN978-3-0365-5341-2 (PDF)
This book is a reprint of the Special Issue Advances in Bearing Lubrication and Thermal Sciences that was published in
Chemistry & Materials Science
Engineering
Summary
This reprint focuses on the hot issue of bearing lubrication and thermal analysis, and brings together many cutting-edge studies, such as bearing multi-body dynamics, bearing tribology, new lubrication and heat dissipation structures, bearing self-lubricating materials, thermal analysis of bearing assembly process, bearing service state prediction, etc. The purpose of this reprint is to explore recent developments in bearing thermal mechanisms and lubrication technology, as well as the impact of bearing operating parameters on their lubrication performance and thermal behavior.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
cage instability; multiball random collision; bearing dynamic model; peak impact force; self-attention; gated neural network; remaining useful life prediction; health indicator; bearing lubrication enhancement; groove structure; multiple parameter coupling; few-layer graphene; lithium complex grease; viscoelasticity; friction and wear properties; rolling bearing; performance degradation; variation degree; probability density function; similarities between time series; positive and negative samples; contrastive learning; gated recurrent unit; remaining useful-life prediction; full-type needle bearing; dynamics performance; temperature fields; lubricating oil; angular contact ball bearing; spacer inclination; bearing stiffness; axial operating stiffness; stiffness hardening; stiffness softening; machine tool; load distribution; four-point contact ball bearing; bearing dynamics; cage motions experiment; geometric homogeneity of rollers; tapered roller bearings; friction torque; contact force distribution; wavelet packet transform; kernel principal component analysis; remaining service life of rolling bearings; convolutional neural network; bidirectional long- and short-term memory neural network; full ceramic ball bearing; lubricant oil film; service performance; simulation model; cavitation effect; herringbone spiral groove; optimum structural parameters; turbulence; water lubrication; angular contact ball bearing; sliding length; contact ellipse major axis; friction loss; contact angle; bearing heat generation; outer ring inclination; bearing assembly quality; full-ceramic ball bearing; self-lubricating; ceramic ball; heat generation analysis; conduct heat; friction torque; temperature distribution