Evaluation of discretization and integration methods for the analysis of finite hydrodynamic bearings with surface texturing

QR Code

Evaluation of discretization and integration methods for the analysis of finite hydrodynamic bearings with surface texturing

Efficient numerical methods are essential in the analysis of finite hydrodynamic bearings with surface texturing. This is especially evident in optimization and parametric studies where the discretization and integration methods are used to solve the governing two-dimensional Reynolds equation multi...

Full description

Bibliographic Details
Main Authors:	Woloszynski, T., Podsiadlo, P., Stachowiak, Gwidon
Format:	Journal Article
Published:	SAGE Publications Ltd 2015
Online Access:	http://hdl.handle.net/20.500.11937/15307

Similar Items

The effects of inertia in finite hydrodynamic bearings with surface texturing
by: Woloszynski, T., et al.
Published: (2015)

Evaluation of Discretisation and Integration Methods for the Analysis of Hydrodynamic Bearings With and Without Surface Texturing
by: Woloszynski, Tomasz, et al.
Published: (2013)

Evaluation of inertia effect in finite hydrodynamic bearings with surface texturing using spectral element solver
by: Woloszynski, T., et al.
Published: (2015)

Evaluation of numerical methods for the analysis of hydrodynamic bearings
by: Woloszynski, T., et al.
Published: (2013)

A Unified Computational Approach to the Optimization of Surface Textures: One Dimensional Hydrodynamic Bearings
by: Guzek, Agata, et al.
Published: (2010)

Effects of information loss in texture details due to the PIFS encoding on load and friction in hydrodynamic bearings
by: Wolski, Marcin, et al.
Published: (2011)

A Unified Computational Approach the Optimization of Surface Textures: One Dimensional Bearings
by: Podsiadlo, P., et al.
Published: (2009)

Efficient Solution to the Cavitation Problem in Hydrodynamic Lubrication
by: Woloszynski, T., et al.
Published: (2015)

Directional Multiscale Analysis and Optimization for Surface Textures
by: Podsiadlo, Pawel, et al.
Published: (2013)

Optimization of textured surface in 2D parallel bearings governed by the Reynolds equation including cavitation and temperature
by: Guzek, Agata, et al.
Published: (2013)

Directional fractal signature and optimization of surface textures
by: Podsiadlo, P., et al.
Published: (2014)

Texture analysis of self-structured surfaces in formation process using directional fractal signature method
by: Wolski, M., et al.
Published: (2014)

Analysis of AFM images of self-structured surface textures by directional fractal signature method
by: Wolski, Marcin, et al.
Published: (2013)

3-D characterization, optimization, and classification of textured surfaces
by: Stachowiak, Gwidon, et al.
Published: (2008)

Directional fractal signature analysis of self-structured surface textures
by: Wolski, Marcin, et al.
Published: (2012)

Automated classification of wear particles based on their surface texture and shape features
by: Stachowiak, G.P., et al.
Published: (2008)

Numerical characterization of AFM images of self-structured surface textures
by: Wolski, M., et al.
Published: (2014)

A signature dissimilarity measure for trabecular bone texture in knee radiographs
by: Woloszynski, Tomasz, et al.
Published: (2010)

A dissimilarity-based multiple classifier system for trabecular bone texture in detection and prediction of progression of knee osteoarthritis
by: Woloszynski, Tomasz, et al.
Published: (2012)

Directional fractal signature methods for trabecular bone texture in hand radiographs: Data from the Osteoarthritis Initiative
by: Wolski, M., et al.
Published: (2014)

Fractal Analysis of Surface Topography by the Directional Blanket Covering Method
by: Podsiadlo, P., et al.
Published: (2015)

A new method to measure trabecular bone texture on hand radiographs: data from the osteoarthritis initiative
by: Wolski, Marcin, et al.
Published: (2014)

Effects of Nanoscale Ripple Texture on Friction and Film Thickness in EHL Contacts
by: Woloszynski, Tomasz, et al.
Published: (2019)

Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture
by: Woloszynski, Tomasz, et al.
Published: (2012)

Novel Directional Blanket Covering Method for Surface Curvature Analysis at Different Scales and Directions
by: Podsiadlo, Pawel, et al.
Published: (2017)

Misalignment effects on isotropic roughness hydrodynamic finite journal bearings
by: Che Hassan Che Haron,
Published: (1993)

Automated selection of bone texture regions on hand radiographs: Data from the Osteoarthritis Initiative
by: Wolski, M., et al.
Published: (2016)

Differences in trabecular bone texture between knees with and without radiographic osteoarthritis detected by fractal methods
by: Podsiadlo, Pawel, et al.
Published: (2008)

Augmented variance orientation transform method for the characterization of small size tribological surfaces
by: Wolski, M., et al.
Published: (2015)

Applications of the variance orientation transform method to the multiscale characterization of surface roughness and anisotropy
by: Wolski, Marcin, et al.
Published: (2010)

Detection and prediction of osteoarthritis in knee and hand joints based on the X-ray image analysis
by: Stachowiak, Gwidon, et al.
Published: (2016)

Directional fractal signature analysis of trabecular bone: evaluation of different methods to detect early osteoarthritis in knee radiographs
by: Wolski, Marcin, et al.
Published: (2009)

Differences in trabecular bone texture between knees with and without radiographic osteoarthritis detected by directional fractal signature method
by: Wolski, Marcin, et al.
Published: (2010)

A measure of competence based on random classification for dynamic ensemble selection
by: Woloszynski, Tomasz, et al.
Published: (2012)

Characterization of Surface Topography from Small Images
by: Wolski, Marcin, et al.
Published: (2016)

Trabecular bone texture detected by plain radiography is associated with MRI-defined osteophytes in finger joints of women without radiographic osteoarthritis
by: Wolski, Marcin, et al.
Published: (2018)

Trabecular bone texture detected by plain radiography is associated with an increased risk of knee replacement in patients with osteoarthritis: a six year prospective follow up study
by: Podsiadlo, Pawel, et al.
Published: (2013)

Trabecular bone texture detected by plain radiography and variance orientation transform method is different between knees with and without cartilage defects
by: Wolski, Marcin, et al.
Published: (2011)

Numerical Simulations of Groove Topography Effects on Film Thickness and Friction in EHL Regime
by: Touche, T., et al.
Published: (2017)

Characterization of DLC-Coated and Uncoated Surfaces by New Directional Blanket Curvature Covering (DBCC) Method
by: Wolski, Marcin, et al.
Published: (2018)

Cannot write session to /tmp/vufind_sessions/sess_9b5c9088gsv03d5sirlimfvmva