IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-01-13 DOI: 10.1016/j.wear.2026.206532

Debayan Mandal , Sudip Banerjee , Ranjan Basak , Joyjeet Ghose

Aluminium based nanocomposites are promising candidates for different automotive parts like brake discs, clutch plates, cams and aerospace components like actuator joints, landing gear bushings, rotors, etc., where high strength-to-weight ratio and dry sliding wear resistance are critically important. Since these components frequently get exposed to dry sliding tribological environments like high sliding speed as well as longer sliding distance, understanding their dry sliding wear and friction characteristics is essential for reliable material design and performance of these components. Therefore, the purpose of the current study is to examine the effect of sliding speeds and distances on dry sliding tribological response on LM6-1.5 wt% Si₃N₄ nanocomposite. Nanocomposite is synthesized through ultrasonic assisted stir casting (USC). Microstructural characterizations are evaluated through optical microscopy, FESEM, EDX, XRD and elemental mapping to assess successful incorporation and distribution of Si₃N₄ Nanoparticles. Pin-on-disc experiment is conducted by using EN31 steel disc as the counterface across sliding speed and distance ranging between 0.25 and 1.25 m/s and 300–3000 m respectively. Incorporation of Si₃N₄ nanoparticles enhanced wear resistance around 30–40 % compared to base alloy under experimental conditions, indicating improved load-bearing ability and resistance to plastic deformation. Worn surfaces and wear debris are further analyzed through FESEM and EDX to evaluate the primary wear mechanisms. Typical observation of worn surfaces depicts how particle incorporation suppresses delamination as well as adhesion and shifts towards abrasion. This mechanistic change renders a new approach for tailoring material design in tribological applications.

铝基纳米复合材料是不同汽车部件的有希望的候选者，如刹车盘、离合器片、凸轮和航空航天部件，如致动器接头、起落架衬套、转子等，其中高强度重量比和干滑动耐磨性至关重要。由于这些部件经常暴露在干滑动摩擦环境中，如高滑动速度和较长的滑动距离，因此了解其干滑动磨损和摩擦特性对于可靠的材料设计和这些部件的性能至关重要。因此，本研究的目的是研究滑动速度和距离对LM6-1.5 wt% Si3N4纳米复合材料干滑动摩擦学响应的影响。采用超声辅助搅拌铸造法制备了纳米复合材料。通过光学显微镜，FESEM， EDX， XRD和元素映射来评估Si3N4纳米颗粒的成功掺入和分布。销盘实验采用EN31钢盘作为界面，滑动速度为0.25 ~ 1.25 m/s，滑动距离为300 ~ 3000 m。在实验条件下，Si3N4纳米颗粒的加入使基合金的耐磨性提高了30 - 40%，表明其承载能力和抗塑性变形能力得到了提高。通过FESEM和EDX进一步分析磨损表面和磨损碎片，以评估主要磨损机制。对磨损表面的典型观察描述了颗粒掺入如何抑制分层以及粘附并转向磨损。这种机理的变化为在摩擦学应用中裁剪材料设计提供了一种新的方法。

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引用次数: 0

Measurement of grit wear in abrasive c-BN electroplated tipped blades for gas turbines applications 燃气轮机用c-BN电镀磨料叶片的磨粒磨损测量

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-01-13 DOI: 10.1016/j.wear.2026.206538

A. Parody Martin , M.B. Marshall

The increasing use of ceramic abradable seal systems in the High-Pressure Turbine section of gas turbines, aimed at improving efficiency and reducing fuel consumption, introduces new challenges in performance evaluation. This work proposes a standard method to quantify wear on c-BN electroplated tipped blades, which function as abrasive coatings on rotor blades. The approach relies on 3D metrology scanner to capture surface data of the blade and converting them into measurable parameters that allow for consistent comparison between blades from rig testing. Key metrics include grit density, the volume occupied by abrasive particles, and the corresponding void volume and void density resulting from wear. An additional parameter is proposed to account for debris accumulation and its effect on the proposed wear-related metrics. The results demonstrate consistent trends across the proposed parameters, both in pristine and tested blades, regardless of their initial grit density as well as with grit wear patterns. The proposed Positive Volume Variation (PVV) and Grit Density Variation (GDV) metrics exhibited a strong mutual correlation (r = 0.950), a result supported by their shared underlying physical basis. In contrast, the Mean Height Variation (MHV), typically applied to bare blades, demonstrated weaker correlations with both PVV (r = 0.893) and GDV (r = 0.745).

为了提高燃气轮机的效率和降低燃油消耗，高压涡轮部分越来越多地使用陶瓷耐磨密封系统，这给性能评估带来了新的挑战。这项工作提出了一种标准方法来量化c-BN电镀尖端叶片的磨损，其功能是转子叶片的磨料涂层。该方法依靠3D测量扫描仪捕获叶片表面数据，并将其转换为可测量参数，以便在钻机测试中对叶片进行一致的比较。关键指标包括磨粒密度、磨料颗粒占据的体积，以及由磨损产生的相应空隙体积和空隙密度。提出了一个额外的参数来解释碎片堆积及其对拟议的磨损相关指标的影响。结果表明，无论初始磨粒密度和磨粒磨损模式如何，在原始和测试叶片中，所提出的参数都具有一致的趋势。正体积变化（PVV）和颗粒密度变化（GDV）指标具有很强的相互相关性（r = 0.950），这一结果得到了它们共同的潜在物理基础的支持。相比之下，通常应用于裸叶片的平均高度变化（MHV）与PVV （r = 0.893）和GDV （r = 0.745）的相关性较弱。

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引用次数: 0

Mechanical and tribological properties of Si3N4 and graphene binary reinforced copper-based self-lubricating materials 氮化硅和石墨烯二元增强铜基自润滑材料的力学和摩擦学性能

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-01-12 DOI: 10.1016/j.wear.2026.206529

Yu Lv, Min Zhong, Meirong Yi, Zhixin Shi, Jianfeng Chen, Wenhu Xu

This study systematically investigates the mechanical and tribological properties of Cu-based composites strengthened by Si₃N₄ (3.0 wt%) and graphene (0.5–2.0 wt%). Multi-scale characterization approaches combining SEM, EDS, XRD, and XPS were employed to analyze polished surfaces, wear tracks, cross-sectional friction layers, and wear debris. The results indicate that the addition of reinforcing phases significantly enhances the mechanical and tribological behavior of composites compared to pure copper. During the friction process, graphene continuously separates from the matrix to the friction surface, forming a carbon-rich lubricating film. It prevents direct action between the matrix and counter-material, thereby enhancing the abrasion resistance of the composite. Furthermore, Si₃N₄, as a component of the lubricating film, enhances the film strength, making it less prone to detachment during friction. Compared to pure copper, the hybrid reinforcement system demonstrates remarkable property enhancement. The optimal performance is achieved at 3.0 wt% Si₃N₄ and 1.5 wt% graphene.

本研究系统地研究了Si3N4 （3.0 wt%）和石墨烯（0.5-2.0 wt%）增强cu基复合材料的力学和摩擦学性能。采用SEM、EDS、XRD、XPS等多尺度表征方法对抛光表面、磨损痕迹、横截面摩擦层和磨损碎屑进行了分析。结果表明，与纯铜相比，增强相的加入显著提高了复合材料的力学性能和摩擦学性能。在摩擦过程中，石墨烯不断从基体分离到摩擦表面，形成富碳润滑膜。它防止了基体和反相材料之间的直接作用，从而提高了复合材料的耐磨性。此外，Si3N4作为润滑膜的组成部分，提高了润滑膜的强度，使其在摩擦过程中不易脱落。与纯铜相比，混合增强体系的性能得到了显著提高。当Si3N4质量分数为3.0 wt%，石墨烯质量分数为1.5 wt%时，性能达到最佳。

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引用次数: 0

Load-dependent fretting wear behavior in additively and conventionally manufactured TA15 titanium alloy 增材制造和常规制造TA15钛合金的载荷依赖微动磨损行为

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-01-12 DOI: 10.1016/j.wear.2026.206534

Jiahua Liu, Hongzeng Yang, Baoli Guo, Yongming Han, Xiaofeng Zhang, Xiao Li, Long Xin, Yonghao Lu

This study investigates fretting wear in WAAM-produced versus conventionally manufactured TA15 titanium alloy under loads (5N–15N). Wear behavior critically depends on both load and manufacturing-induced microstructure. The conventional alloy with homogeneous equiaxed grains, shows better wear resistance: lower/stable friction coefficients and reduced wear volume across all loads. Its wear changes predictably from gross slip (5N) to mixed (8–10N) to partial slip (12–15N) as load increases. Conversely, WAAM-produced TA15 with coarse columnar β grains and uneven hardness stays mostly in the mixed regime. This causes higher, unstable friction and greater wear volume. Both alloys show decreasing wear scar size with higher loads due to work hardening, but their wear mechanisms differ. WAAM -produced TA15 shifts from mild abrasion/oxidation at low loads to dominant (yet unstable) oxidation at high loads, suffering adhesive-sliding and oxide spalling. The conventional alloy transitions to oxidative/delamination wear in stable partial slip at high loads, where adhesion (center) and micro-slip (edges) enable uniform stress distribution. Oxidation increases with load for both, but the conventional alloy forms more stable oxide layers evidenced by oxygen-rich rings in micro-slip zones. WAAM-produced TA15 inferior wear resistance fundamentally originates in its microstructure, underscoring the need for microstructural control in demanding applications. These findings guide material selection and design for titanium components facing fretting.

本研究研究了waam生产的TA15钛合金与传统制造的TA15钛合金在载荷（5N-15N）下的微动磨损。磨损行为主要取决于载荷和制造诱导的微观结构。传统合金具有均匀的等轴晶粒，具有较好的耐磨性：摩擦系数较低/稳定，在所有载荷下磨损体积减小。随着载荷的增加，其磨损可预测地从总滑移（5N）到混合滑移（8-10N）到部分滑移（12-15N）变化。相反，waam制备的TA15 β柱状晶粒粗大，硬度不均匀，主要处于混合状态。这导致更高，不稳定的摩擦和更大的磨损量。两种合金在高载荷下，由于加工硬化，磨损痕尺寸减小，但其磨损机制不同。WAAM生产的TA15从低负荷时的轻度磨损/氧化转变为高负荷时的主要（但不稳定的）氧化，遭受粘合剂滑动和氧化物剥落。在高负荷下，传统合金在稳定的部分滑移中转变为氧化/脱层磨损，其中粘合（中心）和微滑移（边缘）使应力分布均匀。两种合金的氧化都随着载荷的增加而增加，但传统合金在微滑移区形成更稳定的氧化层，这可以从富氧环中得到证明。waam生产的TA15耐磨性较差，从根本上说源于其微观结构，这强调了在苛刻的应用中需要对微观结构进行控制。这些发现为面向微动的钛合金部件的材料选择和设计提供了指导。

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引用次数: 0

Comparison of material erosion under air and submerged conditions using a high-energy self-excited modulated water jet 用高能自激调制水射流比较空气和水下条件下材料的侵蚀

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-01-12 DOI: 10.1016/j.wear.2025.206491

Zdeněk Říha , Michal Zeleňák , Fernando Kevin Miranda , Akash Nag , Alice Chlupová , Jakub Poloprudský , Vladimír Foldyna , Petr Hlaváček , Libor Sitek

This study examines the effect of the frequency of modulated water jet on material erosion in both air and submerged environments. Two prototypes of nozzles with the ability to self-excite flow oscillations, each featuring an identical outlet orifice (1 × 1 mm), were developed to modulate water jets at distinct oscillating frequency levels (from 6 to 45 kHz). Jet oscillation characteristics were predicted via computational fluid dynamics (CFD) and validated experimentally using direct pressure-sensor measurements and indirect optical frequency-monitoring techniques. Optimal standoff distance (SOD) between the selected nozzle and the target surface was found (from 10 to 15 mm). Erosion tests were conducted on pure copper samples in both air and underwater conditions. During erosion testing, flow rates (19 and 24 l/min) and pressures (80 and 140 MPa) were continuously recorded by diagnostic sensors to maintain constant hydraulic power (26 kW and 55 kW). The resulting erosion grooves formed on copper samples under air and submerged conditions by moving the nozzle above the target surface (1 mm/s) were characterized by optical profilometry and scanning electron microscopy (SEM). Quantitative analysis of removed volume, groove geometry, and surface defects was conducted to elucidate the relationship between the frequency of the modulated water jet and erosion performance. The results confirmed that an increase in the frequency of the modulated high-speed water jet significantly enhances erosion efficiency in both tested environments. However, in submerged conditions, a pronounced attenuation of the jet occurs, reflected in a lower volume of material removal. Further details are discussed in the subsequent sections of the manuscript.

本研究考察了在空气和水下环境中调制水射流频率对物质侵蚀的影响。开发了两种具有自激流动振荡能力的喷嘴原型，每个喷嘴都具有相同的出口孔（1 × 1 mm），用于在不同的振荡频率水平（从6到45 kHz）调制水射流。射流振荡特性通过计算流体动力学（CFD）进行预测，并通过直接压力传感器测量和间接光学频率监测技术进行实验验证。选定的喷嘴与目标表面之间的最佳距离（SOD）为10 ~ 15 mm。在空气和水下条件下对纯铜样品进行了腐蚀试验。在侵蚀测试期间，通过诊断传感器连续记录流速（19和24 l/min）和压力（80和140 MPa），以保持恒定的液压功率（26 kW和55 kW）。在空气和浸没条件下，通过将喷嘴移动到目标表面以上（1 mm/s），对铜样品上形成的侵蚀槽进行了光学轮廓术和扫描电子显微镜（SEM）的表征。通过对去除体积、沟槽几何形状和表面缺陷的定量分析，阐明了调制水射流频率与侵蚀性能之间的关系。结果证实，在两种测试环境中，调制高速水射流频率的增加显著提高了冲蚀效率。然而，在水下条件下，射流发生明显的衰减，反映在较低的材料去除量上。进一步的细节将在手稿的后续章节中讨论。

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引用次数: 0

Friction and wear prediction of copper-free resin-based brake materials: A hybrid PSO-FPA-BP neural network approach 无铜树脂基制动材料的摩擦磨损预测：混合PSO-FPA-BP神经网络方法

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-01-12 DOI: 10.1016/j.wear.2026.206536

Kaikui Zheng , Qing Le , Ling Pan , Jianmeng Huang

Copper-free resin-based brake materials are multicomponent composites comprising both organic and inorganic constituents. Their friction and wear behavior is governed by complex nonlinear interactions among various components and temperature, making accurate prediction through conventional approaches difficult. To overcome this challenge, the present study investigates a novel copper-free resin-based brake material reinforced with foundry waste sand, and proposes a back-propagation (BP) neural network model optimized by a hybrid Particle Swarm Optimization–Flower Pollination Algorithm (PSO-FPA), referred to as PSO-FPA-BP, for precise prediction of the material's friction and wear properties. Orthogonal analysis of variance (ANOVA) was employed to examine the correlations between the friction coefficient, wear rate, and raw material composition, with the optimal formulation determined through range analysis. The data derived from orthogonal experiments served as the training set for model development. Using the principal material components and temperature as input variables, and the friction coefficient and wear rate as outputs, the PSO-FPA-BP prediction model was constructed. Comparative evaluations against BP neural networks optimized solely by the Flower Pollination Algorithm (FPA-BP) or the Particle Swarm Optimization algorithm (PSO-BP) revealed that the PSO-FPA-BP model achieved superior predictive accuracy, with coefficients of determination (R²) of 0.879 for the friction coefficient and 0.979 for the wear rate. Furthermore, friction and wear tests were conducted using the optimized formulation to generate validation data. The results indicated that the prediction accuracy of the PSO-FPA-BP model reached 95.005 % for the friction coefficient and 88.021 % for the wear rate on the validation samples, confirming the model's strong robustness and generalization capability.

无铜树脂基制动材料是由有机和无机成分组成的多组分复合材料。它们的摩擦磨损行为受各部件之间复杂的非线性相互作用和温度的影响，难以通过传统方法进行准确预测。为了克服这一挑战，本研究研究了一种用铸造废砂增强的新型无铜树脂基制动材料，并提出了一种由混合粒子群优化-花授粉算法（PSO-FPA）优化的反向传播（BP）神经网络模型，简称PSO-FPA-BP，用于精确预测材料的摩擦和磨损性能。采用正交方差分析（ANOVA）检验摩擦系数、磨损率与原料成分的相关性，并通过极差分析确定最佳配方。正交实验得到的数据作为模型开发的训练集。以主材料成分和温度为输入变量，摩擦系数和磨损率为输出变量，构建了PSO-FPA-BP预测模型。与单纯采用授粉算法（Flower Pollination Algorithm, FPA-BP）和粒子群算法（Particle Swarm Optimization Algorithm, PSO-BP）优化的BP神经网络相比，PSO-FPA-BP模型的摩擦系数和磨损率的决定系数（R2）分别为0.879和0.979，预测精度更高。此外，使用优化后的配方进行了摩擦磨损试验，以生成验证数据。结果表明，PSO-FPA-BP模型对验证样品的摩擦系数和磨损率的预测精度分别达到95.005%和88.021%，表明该模型具有较强的鲁棒性和泛化能力。

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引用次数: 0

Using electrochemical noise EN to investigate the tribocorrosion behaviour of Ti27.78Zr27.78Hf27.78Nb8.33Ta8.33 at% HEA 采用电化学噪声EN研究了Ti27.78Zr27.78Hf27.78Nb8.33Ta8.33在% HEA下的摩擦腐蚀行为

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-01-10 DOI: 10.1016/j.wear.2025.206494

Righdan M. Namus , W Mark Rainforth

Commonly used metallic biomaterials exhibit significant disadvantages, including releasing toxic metallic ions from CoCrMo alloy and the insufficient wear resistance of Ti-based alloys. This underscores the need for enhanced metallic materials for orthopedic applications. The optimal material must exhibit superior mechanical properties, high corrosion resistance, biocompatibility, and, crucially, exceptional tribocorrosion resistance. High Entropy Alloys (HEAs) are promising for fulfilling these requirements due to their remarkable combination of features that may be customised for individual purposes. The Ti_27.78Zr_27.78Hf_27.78Nb_8.33Ta_8.33 at% HEA has garnered interest as a promising candidate for orthopedic applications. This alloy demonstrates outstanding electrochemical performance. However, a comprehensive investigation into its tribocorrosion behaviour has yet to be conducted. The current study employed the Electrochemical Noise (EN) technique to analyze the tribocorrosion behaviour of the alloy in simulated body fluid at 37 °C. The findings indicate that the alloy demonstrates similar tribocorrosion performance when compared to its competitors. Additionally, the examination of the surface status after performing the tribocorrosion tests revealed a marked decrease in corrosion resistance.

常用的金属生物材料存在CoCrMo合金释放有毒金属离子、ti基合金耐磨性不足等缺点。这强调了骨科应用对增强金属材料的需求。最佳材料必须具有优异的机械性能，高耐腐蚀性，生物相容性，以及至关重要的特殊耐摩擦腐蚀性能。高熵合金（HEAs）有望满足这些要求，因为它们具有显著的特征组合，可以根据个人目的进行定制。Ti27.78Zr27.78Hf27.78Nb8.33Ta8.33 at% HEA作为一种有前途的骨科应用候选材料而引起了人们的兴趣。这种合金具有优异的电化学性能。然而，对其摩擦腐蚀行为的全面调查尚未进行。本研究采用电化学噪声（EN）技术分析了合金在37℃模拟体液中的摩擦腐蚀行为。研究结果表明，与竞争对手相比，该合金具有相似的摩擦腐蚀性能。此外，在进行摩擦腐蚀测试后，对表面状态的检查显示耐腐蚀性显着下降。

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引用次数: 0

Impact wear and dynamic responses of Mohs minerals under cyclic impact loads 循环冲击载荷下莫氏矿物的冲击磨损与动态响应

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-01-09 DOI: 10.1016/j.wear.2026.206528

Xin Fan , Wen Yue

The impact wear of rock caused by cyclic impact loads from the drill pipe is an important factor contributing to wellbore instability. From the microscopic perspective, the accumulation of impact wear on constituent minerals results in the impact wear of the rock. Understanding the impact wear mechanism and dynamic response characteristics of minerals under cyclic impact loads is essential for controlling the stability of drill pipe and wellbore during oil and gas drilling. In this study, the major constituent minerals of rocks commonly encountered in drilling formations, such as quartz, feldspar, apatite, fluorite, calcite and gypsum, were selected as the test materials. These minerals are representative of the Mohs hardness scale. The evolution of key physical parameters associated with wellbore stability, including impact force and kinetic energy absorption rate, was analyzed with increasing impact cycles. The impact wear characteristics of different minerals were systematically compared. The results show that intrinsic material properties, including Mohs hardness, natural cleavage development, and brittleness, jointly determine the dynamic response, wear morphology, and wear mechanisms during the impact process. Numerical simulation results reveal a clear correlation between the wear scar morphology and the distribution of the maximum principal stress. This study aims to provide experimental data as a reference for controlling the stability of the drill pipe and wellbore in different formations during drilling.

钻杆的循环冲击载荷对岩石的冲击磨损是造成井筒失稳的重要因素。从微观上看，冲击磨损对组成矿物的积累导致了岩石的冲击磨损。了解矿物在循环冲击载荷作用下的冲击磨损机理和动态响应特性，对于控制油气钻井过程中钻杆和井筒的稳定性至关重要。本研究选取钻井地层中常见的岩石主要成分矿物石英、长石、磷灰石、萤石、方解石、石膏等作为试验材料。这些矿物是莫氏硬度标尺的代表。随着冲击次数的增加，分析了与井筒稳定性相关的关键物理参数（包括冲击力和动能吸收率）的演变。系统比较了不同矿物的冲击磨损特性。结果表明，材料的固有性能，包括莫氏硬度、自然解理发展和脆性，共同决定了冲击过程中的动态响应、磨损形态和磨损机制。数值模拟结果表明，磨损痕形貌与最大主应力分布有明显的相关性。本研究旨在为钻井过程中控制不同地层钻杆和井筒的稳定性提供实验数据参考。

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引用次数: 0

Fretting fatigue performance and life prediction of GH4169/FGH96 arc dovetail joints at high temperature GH4169/FGH96弧尾接头高温微动疲劳性能及寿命预测

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-01-09 DOI: 10.1016/j.wear.2026.206524

Xiyuan Zhang , Dasheng Wei , Le Han , Tianxing Chai , Xiang Liu , Shun Yang

To address the challenges associated with fretting fatigue in aeroengine components, this study proposes a comprehensive analysis framework based on multiaxial damage criteria. The mechanical behavior of GH4169 arc dovetail joints is systematically investigated, and a corresponding life prediction model is developed. High-temperature fretting fatigue experiments, combined with multiple characterization techniques, are employed to acquire data on relative displacement, fracture morphology, surface wear, and elemental composition, thereby enabling an in-depth understanding of the damage evolution process. A three-dimensional finite element model of the arc dovetail structure is constructed, incorporating the Chaboche constitutive model to accurately capture stress-strain responses in critical regions of the tenon. A customized post-processing routine is implemented to visualize the multiaxial damage field. Based on the resulting damage distribution, a gradient-corrected life prediction method is proposed. The results indicate that the arc dovetail joint design effectively alters the stress distribution, thereby reducing fretting fatigue damage. Moreover, the proposed life prediction method demonstrates good physical relevance and prediction accuracy.

为了解决航空发动机部件的微动疲劳问题，本研究提出了一种基于多轴损伤准则的综合分析框架。系统研究了GH4169圆弧燕尾接头的力学行为，建立了相应的寿命预测模型。采用高温微动疲劳实验，结合多种表征技术，获取相对位移、断口形貌、表面磨损、元素组成等数据，深入了解损伤演化过程。利用Chaboche本构模型，建立了圆弧燕尾结构的三维有限元模型，准确捕捉了榫槽关键区域的应力应变响应。实现了自定义的后处理程序来可视化多轴损伤场。基于得到的损伤分布，提出了一种梯度校正寿命预测方法。结果表明，弧形燕尾接头设计有效地改变了应力分布，从而减少了微动疲劳损伤。此外，所提出的寿命预测方法具有良好的物理相关性和预测精度。

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引用次数: 0

Transient wear prediction and optimization for water-lubricated stave bearings 水润滑壁轴承瞬态磨损预测与优化

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-01-09 DOI: 10.1016/j.wear.2025.206483

Juan Guo , Ke Xiao , Dongxing Tang

To fill the research gap on the wear behavior of water-lubricated stave bearings (WLSBs) under mixed lubrication conditions, a transient friction–wear model was developed by coupling a transient mixed lubrication model with a transient wear model, incorporating cavitation effects and evolving surface roughness. Two wear models—a modified Archard wear model and a frictional fatigue wear model—were evaluated, showing higher predictive accuracy of the fatigue-based wear model compared with experimental results. Based on this framework, two single-parameter optimization strategies targeting curvature radius and inclination angle of staves were proposed, and their sensitivity to key parameters (number of staves and stave width ratio) was analyzed. Subsequently, a dual-parameter optimization was conducted, and its effectiveness in performance improvements was quantitatively assessed. The results indicate that a negative stave curvature radius coefficient (concave staves) combined with a small number of staves (≤8) and a large stave width ratio (≥0.8), or a moderate inclination angle (0.01°–0.04°) with commonly used stave numbers (6-10) across a wide range of width ratios, can enhance the mixedlubrication and anti-wear performance of WLSBs compared with untreated ones. Moreover, the findings reveal that dual-parameter optimization outperforms single-parameter strategies, particularly in wear reduction, achieving an additional 19–42 % decrease in wear volume under the current operating conditions. This work provides meaningful insights into the design of high-performance water-lubricated bearing systems in engineering applications.

为了填补混合润滑条件下水润滑壁板轴承磨损行为研究的空白，将瞬态混合润滑模型与瞬态磨损模型耦合，建立了考虑空化效应和表面粗糙度变化的瞬态摩擦磨损模型。对两种磨损模型——改进的Archard磨损模型和摩擦疲劳磨损模型进行了评估，结果表明疲劳磨损模型的预测精度高于实验结果。在此框架下，提出了两种以壁板曲率半径和倾角为目标的单参数优化策略，并分析了其对关键参数（壁板数和壁板宽比）的敏感性。随后，进行了双参数优化，并定量评估了其在性能改进方面的有效性。结果表明：与未处理的壁板相比，采用负的壁板曲率半径系数（凹壁）、小的壁板数（≤8）和大的壁板宽比（≥0.8）相结合，或在宽比范围内采用常用的壁板数（6 ~ 10）、适度的倾角（0.01°~ 0.04°）相结合，可以提高壁板的混合润滑和抗磨性能。此外，研究结果表明，双参数优化策略优于单参数优化策略，特别是在减少磨损方面，在当前运行条件下，可将磨损量减少19 - 42%。这项工作为工程应用中高性能水润滑轴承系统的设计提供了有意义的见解。

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