Research Status and Progress on the Current-Carrying Friction and Wear Performance of Conductive Slip Rings in Harsh Environments
Abstract
1. Introduction
2. Effects of Harsh Environments on the Current-Carrying Friction and Wear Behavior of Slip Rings
2.1. Effects of High Temperature
2.1.1. Effects of High Temperature on the Physical Properties of Materials
2.1.2. Effects of High Temperature on Tribological Behavior
2.1.3. Oxidative Wear Mechanism Under High Temperature
2.1.4. Adhesive Wear and Arc Erosion at High Temperatures
2.2. Effect of Humidity
2.2.1. Effects of Humidity on the Formation of the Lubricating Film
2.2.2. Effects of Humidity on Electrochemical Corrosion
2.2.3. Effects of Humidity on Wear Modes
2.3. Effects of Corrosive Gases
2.3.1. Formation and Characteristics of Corrosion Products
2.3.2. Synergistic Mechanism of Corrosion and Wear
2.3.3. Corrosion-Resistant Materials and Protection Strategies
2.4. Effects of Vacuum Environment
2.4.1. Adhesive Wear Caused by the Absence of Oxide Film
2.4.2. Performance of Solid Lubricants in Vacuum
2.4.3. Arc Discharge Effects in Vacuum
2.5. Summary
3. Simulation and Modeling Research
3.1. Multiphysics Modeling
3.1.1. Temperature Field Modeling
3.1.2. Electromagnetic–Fluid Coupled Modeling
3.1.3. Rough Surface Contact Modeling
3.2. Wear Models and Prediction
3.2.1. Modeling of Brush–Slip Ring Systems
3.2.2. Contact Resistance Modeling
3.2.3. Development of Wear Prediction Models
3.2.4. Digital Twin and Life Prediction
3.2.5. Molecular Dynamics Simulation
3.3. Summary
4. Research on Improving Current-Carrying Friction and Wear Performance of Slip Rings Under Harsh Environments
4.1. Material Modification Methods
4.2. Surface Coating Technology
4.3. Summary
5. Conclusions
- The extent to which environmental factors exert influence varies significantly. High temperature and humidity are the most critical environmental factors. Elevated temperature (>150 °C) can increase the wear rate by 200%–500% through the synergistic action of multiple mechanisms, including material softening, accelerated oxidation, and arc intensification. Humidity exhibits a distinctive non-monotonic effect: 40%–60% relative humidity is the optimal operating window, and deviations from this range lead the wear mechanism to shift from adhesive wear to fatigue spalling. The corrosion–wear synergistic effect of corrosive gases is irreversible and is markedly intensified under high humidity. Vacuum conditions increase the coefficient of friction by a factor of 2–3, yet enhance the stability of contact resistance, necessitating entirely different material solutions.
- The synergistic effects of multiple factors far exceed the simple superposition of single factors, yet quantitative descriptions remain severely inadequate. The coupling of high temperature and humidity accelerates electrochemical corrosion, while the coupling of high temperature and current may induce thermal runaway. However, current research mainly relies on single-factor experiments, lacking systematic studies on multi-factor coupling, making it difficult to accurately predict material behavior under real service conditions.
- The depth of mechanistic understanding is uneven, and cross-scale linkages are lacking. The macroscopic phenomena influenced by high temperature and humidity are relatively well documented, but the elucidation of microscopic mechanisms is weak. Fundamental questions—such as the nature of the “low-friction–high-wear” paradox, the dual role of oxide films, and the dynamic cycling of lubricant films—still lack clear answers. A cross-scale theoretical framework linking atomic bonding to macroscopic wear has yet to be established.
- The practicality of simulation technologies is limited. Multiphysics models have successfully captured electro-thermal-mechanical coupling effects, but their descriptions of key processes such as chemical reactions, phase transitions, and arc discharges are overly simplified. Most wear prediction models are based on empirical correlations, and their applicability during mechanism transitions remains questionable. More critically, parameter acquisition is difficult and validation is insufficient, leaving extrapolation capability and long-term predictive reliability unverified. Simulation studies addressing environmental factors are far fewer than those focusing on operational parameters, creating a gap between research and practical needs.
- Material optimization strategies are diverse but lack systematic design principles. Copper-, silver-, and gold-based materials, as well as novel composite materials, each possess their own advantages and disadvantages. Although numerous surface coating technologies exist, there is still a lack of systematic design criteria and long-term stability validation for the rational selection of materials and coating systems according to specific environments.
- Cross-scale mechanistic linkage and dynamic process tracking. Establish a multiscale integrated framework spanning from first-principles calculations to macroscopic finite-element analysis; develop in situ multiphysics characterization techniques to track in real time the dynamic processes of lubricant-film formation–rupture, oxide-film growth–spallation, and arc initiation–extinction, thereby elucidating the quantitative links between microscopic mechanisms and macroscopic performance.
- Quantitative theory of multi-factor coupling effects. Systematically conduct studies on multi-factor interactions and establish physical models for quantitatively describing coupling effects. Develop phenomenological models grounded in mechanistic understanding, integrate machine learning to extract patterns from big data, and advance failure criteria and lifetime prediction models under multi-factor conditions.
- Extreme-environment parameter databases and high-fidelity modeling. Systematically measure material parameters under high temperature–high current, extreme humidity, and corrosive atmospheres, and establish an open, shared database. Develop comprehensive physical models encompassing chemical reactions, phase transformations, and arc discharge to improve the accuracy and reliability of simulation predictions. Prioritize breakthroughs in modeling methods for environmental factors.
- Materials genome engineering and intelligent response systems. Integrate computational materials science, high-throughput experiments, and machine learning to establish a rapid iterative process of “computational screening–experimental validation–performance optimization.” Develop performance-driven inverse design methods for materials, and explore intelligent material systems such as temperature-responsive self-lubricating materials and humidity-adaptive coatings, achieving a transition from passive adaptation to active control.
- Digital twins and intelligent health management. Integrate physics-based models with data-driven approaches to establish real-time condition monitoring and remaining useful life (RUL) prediction systems for slip ring systems. Develop adaptive algorithms that dynamically update model parameters based on real-time data, and construct intelligent decision-making systems to optimize operating conditions.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Environmental Factor | Reference | Material System | Effect on Friction Coefficient | Effect on Wear Rate | Effect on Contact Resistance | Main Wear Mechanism |
|---|---|---|---|---|---|---|
| High temperature (>150 °C) | [71] | Cu/Cu | Moderate (↓) | Strong (↑) | Moderate (↑) | Thermo-oxidative coupled wear (tribo-oxidation) |
| High humidity (>70% RH) | [72] | C/Cu | Strong (↓) | Moderate (↑) | Strong (unstable) | Electrochemical–mechanical coupling (tribocorrosion) |
| Corrosive gases (SO2, Cl2) | [56] | Silver coating/copper alloy | Moderate (↓) | Moderate (↑) | Strong (↑) | Chemical film–induced brittle spalling |
| Vacuum (<10−3 Pa) | [65] | Ag–C | Strong (↑) | Strong (↑) | Low (↓) | Adhesive wear/mechanical wear |
| Materials | Reference Number | Advantages | Disadvantages | |
|---|---|---|---|---|
| Copper-based electrical contact materials | Copper-base alloys | [106] | Excellent physical and mechanical properties | Strength and conductivity are difficult to reconcile |
| Fiber reinforced (carbon fiber, boron fiber…) | [107] | Self-lubricating, wear-resistant, high strength and temperature-resistance, etc. | Large brittleness, uneven microstructure, anisotropy, higher cost | |
| Ceramic reinforced (SiC/WC/TiN) | [72] | Good wear-resistant and temperature mechanical properties, low coefficient of thermal expansion, lower cost | Weak dispersion and interfacial bonding | |
| New types (Cu-WS2, Cu-G-MoS2…) | [108,109] | Excellent self-lubricating, wear- resistant and environmental adaptability | Reduced mechanical strength | |
| Silver-based electrical contact materials | Silver -base alloys (Ag-Cu, Ag-Cu-Ni…) | [106] | high mechanical strength and wear-resistant, stable contact characteristics under low contact pressure | Poor oxidation resistance and corrosion resistance, lower conductivity than silver |
| Ag/C series | [65] | High weld-resistant, low contact resistance | Low hardness, poor anti-arc erosion capability | |
| Ag/WC series | [110] | Anti-melt welding, heat and wear resistance | Producing WO3 resulting in contact resistance | |
| Ag/Ni series | [111] | Wear-resistant, saving silver | Low weld resistance at high current | |
| Ag/MeO series (Ag/CdO, Ag/SnO2, Ag/ZnO…) | [112] | Better weld and arc resistance, conductivity at high current | Ag/CdO pollutes the environment | |
| New types (Ag-MoS2, Ag-MoS2-G-CNTs…) | [113] | Excellent wear-resistant, anti-vulcanization and environmental adaptability | Reduced mechanical strength | |
| Gold-based electrical contact materials | Gold-base alloys | [106] | Excellent conductivity and mechanical properties | Expensive |
| Lanthanon reinforced | [114] | High melting point, hardness, anti-arc and chemical stability | Expensive | |
| New electrical contact materials (TiNiC, Graphene…) | [115] | Integrating electrical conductivity and lubrication | - | |
| Coating Technology | Reference Number | Combination Method | Material Type | Substrate Heating | Single Layer Thickness/mm | Advantage | Disadvantage | |
|---|---|---|---|---|---|---|---|---|
| Plating technology | Chemical vapor deposition | [154] | Physical bonding | Metallic, ceramic materials | Large | <0.01 | High-quality coating, uniform and controllable thickness, high heat and chemical resistance, high deposition efficiency | High temperature process, toxic reaction gas, slow deposition rate |
| Physical vapor deposition | [155] | Metallic, ceramic materials | Lesser | <0.01 | Low temperature process, high bonding strength, high hardness and wear resistance, no pollution | Slow deposition rates, limited coating thickness, and limited material selection | ||
| Electrodeposit | [156] | Metallic | Nothing | <0.1 | Easy operation, fast deposition speed, no limitation of substrate shape and size, low internal stress and controllable thickness of the plated layer. | Low dimensional accuracy and environmental pollution | ||
| Surface spraying technology | Cold spray technology | [157] | Mechanical bonding | Alloys, ceramic powders | Little | 0.1–9 | Low heat input, high material utilization, high bond strength, coating density, low porosity, and high deposition rate | Difficulty in ensuring coating uniformity, coating thickness limitations, material limitations, need for post-processing |
| Thermal spray technology | [158] | Metallurgical bonding | Alloys, ceramic powders | Large | 0.1–1 | Small heat-affected zone, high deposition efficiency, good coating performance, thickness control | Limited coating bonding, high porosity, high surface roughness, low material utilization | |
| Laser cladding technology | [159] | Metallurgical bonding | Alloy powders, wires, plates | Little | 0.02–2 | High deposition rate, small heat affected zone, high coating quality | Complex process debugging, limited material selection, high cost | |
| Electron beam additive manufacturing technology | [160] | Metallurgical bonding | Alloy powders | Large | 0.001–9 | High precision and complexity, high material utilization, superior mechanical properties, high reparability power | Slower production speeds, heat-affected zones, material selection limitations, high vacuum requirements | |
| Arc Additive Manufacturing Technology | [161] | Metallurgical bonding | Alloy powders, wires, plates | Large | 2–4 | High deposition rate, material adaptability, economy, superior mechanical properties, uniform structure, high production efficiency | Large heat affected zone, poor surface quality, difficult to control, lack of refinement | |
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Wu, H.; Zhao, X.; Li, W.; Li, Y.; Pan, T.; Yang, W.; Li, X. Research Status and Progress on the Current-Carrying Friction and Wear Performance of Conductive Slip Rings in Harsh Environments. Coatings 2025, 15, 1347. https://doi.org/10.3390/coatings15111347
Wu H, Zhao X, Li W, Li Y, Pan T, Yang W, Li X. Research Status and Progress on the Current-Carrying Friction and Wear Performance of Conductive Slip Rings in Harsh Environments. Coatings. 2025; 15(11):1347. https://doi.org/10.3390/coatings15111347
Chicago/Turabian StyleWu, Hailin, Xinze Zhao, Wanting Li, Yang Li, Tengda Pan, Wei Yang, and Xuetao Li. 2025. "Research Status and Progress on the Current-Carrying Friction and Wear Performance of Conductive Slip Rings in Harsh Environments" Coatings 15, no. 11: 1347. https://doi.org/10.3390/coatings15111347
APA StyleWu, H., Zhao, X., Li, W., Li, Y., Pan, T., Yang, W., & Li, X. (2025). Research Status and Progress on the Current-Carrying Friction and Wear Performance of Conductive Slip Rings in Harsh Environments. Coatings, 15(11), 1347. https://doi.org/10.3390/coatings15111347

