Predicting Fatigue Life for Finite Line Contact under Starved Elastohydrodynamic Lubrication Condition

Abstract

Surface contact fatigue is the main failure mode in many mechanical components, such as gears, bearings, and cam-followers. A fatigue life prediction model is proposed for finite line contact under starved thermal elastohydrodynamic lubrication (TEHL) condition in this paper. Then, the effects of inlet oil-supply thickness, slide-to-roll ratio (SRR), and operating conditions on the lubrication performance and fatigue life are investigated. The results show that the lubrication characteristics and fatigue life of finite line contact are obviously different from those of fully flooded situation by introducing the starved lubrication condition. For example, the severe starved conditions lead to a significant increase in friction coefficient and decreased fatigue life. The variation of SRR has an important influence on the fatigue life. With the increase of SRR, the fatigue life decreases firstly and then increases. The stress concentration occurs near the surface when speed is low. In addition, under the low-speed situation, rotation speed variation has little effect on the fatigue life.

Effect of Lubricant Starvation on the Tribo‐Dynamic Behavior of Linear Roller Guideway

“…Also, they investigated the effects of the normal load, rolling speed, regular surface waviness, and starved lubrication level on the oil film stiffness. Liu et al [40] proposed a fatigue life prediction model for finite line contact under starved thermal elastohydrodynamic lubrication condition. In this paper, the results show that by introducing the starved lubrication condition, the lubrication characteristics and fatigue life of finite line contact are noticeably different from those of fully flooded condition.…”

Separable Recursive Gradient Algorithm for Dynamical Systems Based on the Impulse Response Signals

“…In system identification, the separable technique is adopted to decompose the identification models into several submodels to reduce the complexity [10,11]. Many identification methods have been proposed in terms of linear systems or nonlinear systems by means of the model decomposition or parameter decomposition [12][13][14] and can be applied to different fields [15][16][17][18].…”

Interfacial mechanics investigation of transmission components under non-Newtonian lubrication conditions

“…To solve the issues, Elrod (1981) developed an algorithm that determines the meniscus position based on the inlet oil thickness. Since then, the studies on the starvation effect in EHL problems were mostly based on this algorithm developed and proved that the oil supply was crucial for EHL contact (Pu et al, 2018;Liu et al, 2020).…”

“…For example, the reported FE-based models did not consider the effect of the amount of supplied oil (Shi and Salant, 2000;Shi and Paranjpe, 2002;Habchi, 2008;Tan et al, 2012;Habchi and Issa, 2013;Lohner et al, 2016;Habchi and Issa, 2017). For FD-based models, researchers did not address the contact of components with geometrically complex features, such as gears with inclusions and rough surfaces (Pu et al, 2018;Liu et al, 2020). Therefore, Chapter 1.…”

“…This Elrod algorithm was widely used in the numerical studies on Newtonian (Chevalier et al, 1998;Van Nijen, 2001;Wijnant, 2003) and non-Newtonian (Mihailidis et al, 2013;Liu et al, 2016;Pu et al, 2018;Liu et al, 2020) starved EHL problems. Their results indicated that the lubrication performance would not be improved continually with the increase in the amount of supplied oil.…”