Abstract With the advent of new technology, various machine structures and elements appear delicate and diminutive so that the nanotribological studies are needed in the modern mechanical technological development. Thin film lubrication will be indispensable as the basis of key-technology in high-technological devices and ultra-precision machines. Therefore, the research of thin film lubrication in the nanometer order is very important. In this research uses a self-development optical elastohydrodynamic lubrication (EHL) tester to simulate the oil film characteristics in the contact region between steel ball and sapphire under the pure rolling condition. First, the variation of oil film thickness on the contact region is observed by using the optical interference principle. An inverse approach of EHL is employed to investigate the pressure distribution on the contact region of lubricant. Final, the oil thickness and pressure distribution are substituted into Reynolds equation to predict the pressure-viscosity index of lubricant. Results show that the oil film thickness increases with increasing rolling speed, and curvature radius of steel ball, but decreases with increasing load. Moreover, when the oil thickness of ester lubricant is less than 17nm, the film thickness is obviously deviated that predicted by the classical EHL theory, and the pressure-viscosity index increases from 0.8195 to 0.9093. This result indicates that the ratio of the adsorbent layer to the oil film increases and causes the increase of the lubricant viscosity.

<p>Rolling contact fatigue (RCF) is the primary mode of failure in tribological contacts like rolling-element bearings (REBs), gears, and cam-follower systems. RCF processes have a crack initiation phase followed by a propagation and coalescence phase, resulting in spalls that lead to catastrophic failure. Crack initiation is a highly localized process that is strongly influenced by the inhomogeneity of the material microstructure. Therefore, a microstructure-sensitive model is required to simulate the damage evolution and failure due to RCF loading. This document presents the development of a microstructure-based finite element (FE) framework for RCF, which accounts for the inhomogeneity of bearing steel microstructure by using an explicit definition of polycrystal topology and material anisotropy. The granular topology of the bearing steel microstructure is described using randomly generated Voronoi tessellations. A cubic elastic material definition with a random spatial orientation is specified for each Voronoi grain to simulate the material anisotropy. The Voronoi grains generated using this approach were used to model the critically stressed microstructural volume in RCF loading. A domain size study was conducted to estimate the minimum number of grains that need to be contained by the critically stressed volume such that the macroscopic material response of the polycrystalline aggregate matches the linear elastic material properties of bearing steel. The estimated critically stressed volume was then embedded into a semi-infinite domain for the FE simulation of RCF line contact loading. The RCF domains developed were then subjected to a moving Hertzian pressure over the surface to simulate a bearing load cycle. A boundary averaging scheme was used to estimate the effective stresses along the grain boundaries of the Voronoi cells. Due to the anisotropy of the polycrystalline material, local stress concentrations occur at the grain boundaries as compared to isotropic models. The resolved grain boundary stresses were used to predict critical locations for RCF crack initiation, which closely match observations from RCF bench test data. Since RCF failures typically exhibit subsurface locations for the first crack initiation, the model uses the critical resolved shear stress (RSS) reversal along the grain boundaries and the corresponding subsurface location of the maxima as the driving parameters for RCF fatigue failures. The parameters from the model were fit into a Weibull distribution to estimate the stochasticity in initiation life. The Weibull predictions corroborate well with experimentally measured RCF life scatter. The framework was then extended using a coupled damage mechanics - cohesive element method (DM-CEM) to individually model the crack initiation and propagation phases in RCF. An explicit definition of the grain boundaries was incorporated using cohesive elements. Damage is initiated at the grain boundaries by degradation of the cohesive elements and the rate of damage/degradation is used to characterize the evolution of fatigue life. The rate of damage was calculated at each grain boundary using a fatigue damage law based on the RSS reversal parameter. The model is able to simulate the crack initiation and the propagation/ coalescence phases in RCF, with distinct life estimates for each phase. This model framework is further extended to investigate the effects of lubrication conditions in RCF by integrating an elastohydrodynamic lubrication (EHL) model to simulate the pressure load with the DM-CEM model. Further improvements to the fatigue life predictions using the DM-CEM model are made by coupling it with a crystal plasticity (CP) based submodel approach to predict the crack initiation life in RCF. CP-based metrics are used to correlate the microplasticity developed under RCF loading with the formation of fatigue micro-cracks and the corresponding initiation life estimations. The resulting final spall patterns and RCF life estimates were found to match well with experimental data available in the open literature.</p> <p><br></p>

No description available.

Les lubrifiants à base aqueuse sont très largement utilisés dans les procédés de mise en forme des métaux comme le tréfilage, car ils combinent d’excellentes capacités calorifiques à de bonnes propriétés tribologiques. Pour répondre à des exigences d’augmentation de la productivité, la compréhension des mécanismes de lubrification est nécessaire. L’objectif de ces travaux est d’établir le lien entre l’organisation des molécules en solution dans le lubrifiant et son pouvoir lubrifiant. La démarche expérimentale consiste à déterminer les propriétés structurales et tribologiques d’un système modèle aqueux, composé d’acides gras et d’éthylène diamine, principaux ingrédients des lubrifiants. Le diagramme de phases du système modèle est établi en s’appuyant sur des techniques de microscopie optique de polarisation, diffusion des rayons X aux petits angles (DXPA) et cryofracture. Pour un rapport molaire entre la diamine et les acides gras supérieur à 1, une succession de phases lamellaire, hexagonale et micellaires, biréfringente sous écoulement et isotrope, est observée avec la dilution. Une attention particulière est accordée à la phase lamellaire qui présente des défauts à l’approche de la transition vers la phase hexagonale. Les analyses réalisées en DXPA, cryofracture et RMN relient leur existence à une modulation de l’épaisseur de la bicouche et une augmentation de la courbure liées au couplage entre les acides gras et les contre-ions amines. Les propriétés lubrifiantes de l’ensemble de ces phases sont également comparées à l’aide d’un tribomètre qui réalise un contact entre un disque et une bille sous une cinématique de contact contrôlée, en régime de lubrification élastohydrodynamique. En plus des mesures de frottement, l’observation simultanée du contact permet de suivre la formation du film lubrifiant entre les surfaces et son évolution. L’influence de l’organisation supramoléculaire du lubrifiant sur son comportement est mise en évidence : les échantillons présentant une organisation lamellaire fournissent les meilleurs résultats en termes de réduction du frottement. L’organisation en bicouches de la phase lamellaire au sein du contact et ses propriétés piézovisqueuses peuvent expliquer sa portance accrue et sa prédisposition naturelle à la réduction du frottement. / Water based lubricants are widely used in metal forming processes due to their good cooling and lubrication capabilities. The understanding of the lubrication mechanisms is necessary to improve the current lubricant efficiency. The goal of this work is to correlate the structural properties of the lubricant to its lubricating behaviour. As mixtures of ethylene diamine and fatty acids in water are some of the main ingredients of such lubricants, their phase behaviour and tribological properties are investigated for different compositions. The phase diagram of the model system is established by using optical microscopy of polarisation, small angle X-rays scattering (SAXS) and freeze-fracture transmission electron microscopy (FF-TEM). For a molar ratio between diamine and fatty acids upper to 1, a succession of lamellar, hexagonal and micellar phases is observed with the dilution. A particular attention is turned to the lamellar phase which presents defects close the transition towards the hexagonal phase. According to SAXS, nuclear magnetic resonance and FF-TEM analyses, we propose that their existence is due to a modulation of the bilayer thickness and an increase of the curvature resulted from the evolution of the coupling between the fatty acids polar heads and the amine counter-ions. The lubricating ability of these phases is then investigated experimentally using an EHL tribometre that simultaneously enables contact visualisation, film thickness and friction measurements in controlled kinematic conditions. The influence of the lubricant structure on its tribological behaviour is revealing: the lowest friction coefficients are obtained with lamellar samples. The organisation in bilayers of the lamellar phase within the contact and its piezoviscous properties can explain its greater load-bearing capacity and its natural predisposition to the reduction of the friction.

<p><a href="">This work investigates the effect of surface features such as roughness, pits, and cracks on the tribological and fatigue behavior of machine components. It comprises of three main investigations: (i) effect of roughness on non-contacting fatigue, (ii) lubricated contact fluid structure interaction (FSI) behavior in presence of surface cracks, and (iii) the equivalence between non-contacting and contacting fatigue and the effect of roughness.</a></p><p>For the first investigation, a novel microstructure-based approach was developed to model surface roughness. It used a finite element fatigue damage model to predict the effects of roughness on tensile fatigue. AISI 4130 steel specimens with different surface finishes were fabricated and tested in axial fatigue using an MTS machine. The experimental results demonstrated the detrimental effect of roughness on fatigue lives, which was predicted by the model accurately.</p><p>In the second investigation, a partitioned CFD-FEM based FSI solver was developed using Ansys Multiphysics software to model and investigate elastohydrodynamically lubricated contacts typical in gears and cylindrical roller bearings. The FSI model relaxes Reynolds assumptions, and uses Navier-Stokes equations to determine the lubricant flow and utilizes finite element method to model the structural response. The FSI model was evaluated for robustness under various operating conditions. The effect of material plasticity, subsurface features, etc. were also investigated. The model was then extended to investigate the effects of surface cracks in rolling/sliding EHL line contacts. Using CFD based approach enabled the investigation of surface cracks with inclined geometries, overcoming the limitations of standard Reynolds-based solvers. The effects of crack geometry parameters such as crack location, crack length, crack width, crack tip radius and crack orientation on fluid pressure distribution were studied. This investigation identified the crack geometries that affect the contact fatigue behavior by predicting the location and severity of stress concentrations in the material.</p><p>Finally, the relationship between contacting fatigue and non-contacting fatigue was investigated. A test rig was designed and developed to simulate rolling contact fatigue (RCF) surface damage. Experimental investigation revealed that the RCF surface damage stress-life (SN) results can be predicted using torsional fatigue results 10 times faster. A computational contact mechanics model was developed to incorporate the effect of roughness in this prediction, and corroborated against experimental RCF results at different roughness levels.</p>