Skip to content
Review Open access

A Review of Gear Wear and Transmission System Dynamics: Coupling Mechanisms, Influencing Factors, and Profile Modification Strategies

Aug 2026 · Lubricants · Vol 14, pp. 334 · 0 citations · 89 references

Abstract

Gear wear is a tribological surface damage process caused by contact loading and relative motion between meshing tooth flanks. It involves progressive material removal or transfer, changes tooth-flank topography, and consequently affects contact conditions, mesh stiffness, transmission error, and dynamic response. This paper reviews recent advances in gear wear research, including typical tooth-surface damage, wear prediction under various lubrication conditions, tribodynamic behavior, dynamic effects of wear, and the influence of assembly errors, parameter uncertainties, and gear modification on meshing characteristics. Existing studies have progressed from isolated descriptions of wear to integrated analyses involving lubrication, surface condition, and dynamics. Nevertheless, the long-term bidirectional coupling between wear evolution and tribodynamics remains insufficiently understood, while the effects of assembly errors and multi-source uncertainties have received limited attention. Gear modification studies have also focused mainly on initial transmission performance rather than its sustained role during wear degradation. Future research should therefore establish coupled wear–friction dynamic models and develop wear analysis methods that account for actual assembly conditions and parameter uncertainties.

Read PDF

Similar papers

Oct 2026

A study on lubrication characteristics of contaminated oil film and abrasive wear in fuel gear pumps based on discrete element method

Aviation fuel gear pumps are prone to accelerated wear of friction pairs during long-term high-load operation, generating metallic particles that contaminate the sliding bearing oil film and trigger abrasive wear. To address this, a coupling solution of the discrete element method (DEM) with a two-phase flow lubricat...

Xian-Wei Liu, De-Qing Zhou, Wen-Bo Zhang et al. · 0 citations
Open access Aug 2026

An Adhesive Wear Model for Gears in Mixed Elastohydrodynamic Lubrication

In this study, an adhesive wear model for a gear drive in mixed elastohydrodynamic lubrication (EHL) is proposed. The mixed-EHL model combines the average Reynolds equation with the ZMC rough-surface contact model to determine the asperity contact pressure. By incorporating the fractional film defect into the Archard w...

Hongbin Wang, Wei Shi, Yu-Ping Wu et al. · 0 citations
Open access Aug 2026

Composite Design and Friction-Wear Characteristics of High-Efficiency Transmission Gear Materials

To meet the high-speed and heavy-load service requirements of high-efficiency transmission gears, Fe-2Ni iron-based powder metallurgy was used as the matrix, and a composite system reinforced by TiC hard phase and MoS2 solid lubricant was designed. The gear composites were prepared by hot pressing sintering. The effect...

Z.-Y. Li, Xiao-Ying Mi · 0 citations
Conference Open access 2026

Influence of spur-gear tooth-profile geometry on mesh efficiency and transmission error: A common-benchmark multi-objective comparison

Reducing gear-mesh loss without compromising STE, DTE and load capacity is central to high-performance transmission design. Non-involute tooth-flank geometries can redistribute sliding, contact conformity and mesh compliance, but published comparisons often confound geometry with benchmark and modelling assumptions. Th...

Ioannis-Iasonas Savouris, C. Kalligeros, V. Spitas · 0 citations
Open access Oct 2026

Wear Evolution and Reliability Assessment of Bottom-Pivot Friction Pairs in Miter Gates

The bottom pivot of a miter gate operates underwater under low-speed, heavy-load, and reciprocating-sliding conditions, where lubrication deterioration can accelerate local wear and increase operating resistance. Conventional hinge-based models cannot describe the transient contact and wear behavior of this component....

Shuo Wang, Wei-Long Zhang, Guo-Jiang Yin et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.