IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-02-15 Epub Date: 2025-12-19 DOI: 10.1016/j.wear.2025.206485

Peishuo Zhang , Hongjun Wang , Yubin Yue

The poor machinability of Ti–6Al–4V poses challenges to notch wear prediction during ball-end milling, including complex mechanism modeling and heavy reliance on sensors. Existing data-driven approaches often suffer from limited interpretability and high monitoring costs. To address these issues, this study proposes a hybrid mechanism and data-driven method for predicting notch wear. A geometric model of the ball-end cutting edge was constructed, and the cutting edge micro-element force feature (CFF) and the effective cutting edge length feature (ECEF) were derived using polar coordinate projection and interpolation algorithms. These two features were identified as core drivers of notch wear, with clear mechanistic links. The derived features were then used to train predictive models based on ensemble learning, kernel methods, and artificial neural networks. All predictive models achieved a coefficient of determination (

R^{2}

) consistently exceeding 0.97, demonstrating robust generalization across multiple modeling paradigms, the Random Forest (RF) model stood out with optimal performance (

R^{2}

= 0.998). Further integrating the random forest algorithm with recursive feature elimination, feature optimization achieved a 50.2% improvement in computational efficiency while retaining 99.84% of the original model’s predictive capability. Finally, based on wear mechanism decoupling and ablation experiments, a cross-scale framework combining geometry, mechanics, and data was established. The results indicated that force-induced thermal cyclic load plays a dominant role in the notch wear process, while abrasive wear acts as an auxiliary factor, and the contribution of the former is 3.6 times that of the latter. This framework offers a new paradigm for wear prediction that is both mechanistically interpretable and practically applicable, with significant potential for high-end manufacturing sectors such as aerospace.

Ti-6Al-4V合金的切削性能较差，给球端铣削过程中的缺口磨损预测带来了挑战，包括复杂的机理建模和对传感器的严重依赖。现有的数据驱动方法往往存在可解释性有限和监测成本高的问题。为了解决这些问题，本研究提出了一种混合机制和数据驱动的方法来预测缺口磨损。建立了球端切削刃的几何模型，利用极坐标投影和插值算法推导了切削刃微单元力特征（CFF）和有效切削刃长度特征（ECEF）。这两个特征被确定为缺口磨损的核心驱动因素，具有明确的机械联系。然后使用衍生的特征来训练基于集成学习、核方法和人工神经网络的预测模型。所有预测模型的决定系数（R2）均超过0.97，显示了多种建模范式的鲁棒泛化，其中随机森林（RF）模型表现最优（R2 = 0.998）。进一步将随机森林算法与递归特征消除相结合，特征优化的计算效率提高了50.2%，同时保留了原模型99.84%的预测能力。最后，基于磨损机理解耦和烧蚀实验，建立了几何、力学和数据相结合的跨尺度框架。结果表明：力致热循环载荷在缺口磨损过程中起主导作用，磨料磨损起辅助作用，前者的贡献是后者的3.6倍；该框架为磨损预测提供了一种新的范式，既具有机械可解释性，又具有实际应用价值，在航空航天等高端制造领域具有巨大潜力。

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引用次数: 0

Microstructure-dependent tribocorrosion mechanisms of low-carbon martensitic stainless steel 低碳马氏体不锈钢摩擦腐蚀机理研究

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-02-15 Epub Date: 2025-12-17 DOI: 10.1016/j.wear.2025.206480

Liangying Yin , Tingyu Zhang , Feiteng Xv , Yang Yu , Shenghua Zhang , Yanli Wang

The selection of materials for hydraulic turbine blades, which suffer from premature failure due to the synergistic interplay of mechanical wear and electrochemical corrosion in sediment-laden water, remains a significant challenge. This study focuses on 11Cr4NiMo low-carbon martensitic stainless steel and aims to elucidate the role of heat-treatment-induced microstructure, particularly reversed austenite, in governing the tribocorrosion mechanisms of low-carbon martensitic stainless steels under a custom triboelectrochemical setup with a silicon nitride (Si₃N₄) counterpart in a 3.5 wt% NaCl solution. The results demonstrate that the microstructure, containing 6.54 % reverted austenite, provides optimal performance, reducing wear volume and corrosion current density by approximately 31 % compared to tempered martensite. This superior resistance is attributed to a novel dual mechanism: reversed austenite facilitates the rapid regeneration of a continuous, Cr-rich passive film, maintaining a “repassivation rate > wear rate” balance to impede Cl⁻ attack; and (2) It coordinates plastic deformation to alleviate stress concentration, maintaining passivation film integrity, ultimately resulting in mild abrasive wear. In contrast, martensitic structures, due to strain localization and slow regeneration of passivation films post-rupture, are prone to delamination, leading to layered-oxidative composite wear. This work establishes that microstructural engineering for synergistic passivation and deformation capacity, rather than pursuing high hardness alone, is the key to enhancing tribocorrosion resistance in demanding aqueous environments.

水轮机叶片的材料选择仍然是一个重大挑战，因为在含沙水中，机械磨损和电化学腐蚀的协同相互作用会导致叶片过早失效。本研究的重点是11Cr4NiMo低碳马氏体不锈钢，旨在阐明热处理诱导的微观结构，特别是反奥氏体，在与氮化硅（Si3N4）在3.5 wt% NaCl溶液中定制摩擦电化学设置下控制低碳马氏体不锈钢摩擦腐蚀机制的作用。结果表明，与回火马氏体相比，含6.54%回火奥氏体的组织提供了最佳性能，磨损体积和腐蚀电流密度减少了约31%。这种优异的电阻归因于一种新的双重机制：反向奥氏体促进了连续的富cr钝化膜的快速再生，保持了“再钝化率和磨损率”的平衡，以阻止Cl -的攻击；(2)协调塑性变形，缓解应力集中，保持钝化膜的完整性，最终产生轻度磨粒磨损。相反，马氏体组织由于应变局部化和断裂后钝化膜再生缓慢，容易发生脱层，导致层状氧化复合磨损。这项工作表明，在苛刻的水环境中，提高耐摩擦腐蚀性能的关键是通过微观结构工程来实现协同钝化和变形能力，而不仅仅是追求高硬度。

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引用次数: 0

Enhanced ultrasonic cavitation resistance of photopolymerizable acrylate resins through increased proportion of polyurethane acrylate in the blend 通过增加聚氨酯丙烯酸酯在共混物中的比例，增强光聚合丙烯酸酯树脂的抗超声空化能力

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-02-15 Epub Date: 2025-12-23 DOI: 10.1016/j.wear.2025.206492

Mohammed Bendimerad , Sylvain Giljean , Marie-José Pac , Cyril Marsiquet , Gautier Schrodj , Loïc Vidal , Dominique Zwingelstein , Jacques Lalevée , Laurent Vonna

This study investigates the influence of polyurethane acrylate (PUA) content on the cavitation resistance of UV-cured epoxy acrylate (EPA)-PUA polymer networks. Four blends containing 0, 15, 30, and 45 wt% PUA were prepared and characterized to understand the relationship between mechanical properties and cavitation resistance. Thermogravimetric analysis (TGA), dynamic mechanical analysis (DMA), and nanoindentation were used to confirm that increasing PUA content in the epoxy matrix enhanced material deformability. Cavitation tests performed according to ASTM G32 revealed that increasing PUA content improved cavitation resistance, as evidenced by longer incubation periods before surface damage and fewer pits and cracks. Notably, nanoindentation conducted on cavitated surfaces showed a hardening effect during the incubation phase, particularly in the 45 % PUA blend, which was attributed to plastic deformation induced by cavitation. These findings highlight the role of material deformability in absorbing energy from collapsing bubble, making UV-cured EPA-PUA blends promising candidates for applications requiring polymeric coatings resistant to cavitation erosion.

研究了聚氨酯丙烯酸酯（PUA）含量对环氧丙烯酸酯(EPA)-PUA聚合物网络抗空化性能的影响。制备了四种含有0、15、30和45 wt% PUA的共混物，并对其进行了表征，以了解其力学性能与抗空化性能之间的关系。热重分析（TGA）、动态力学分析（DMA）和纳米压痕分析证实，环氧基中PUA含量的增加提高了材料的变形能力。根据ASTM G32进行的空化测试表明，增加PUA含量可以提高抗空化能力，这可以通过延长表面损伤前的潜伏期和减少凹坑和裂缝来证明。值得注意的是，在空化表面上进行的纳米压痕在培养阶段显示出硬化效应，特别是在45% PUA共混物中，这归因于空化引起的塑性变形。这些发现强调了材料的可变形性在吸收气泡破裂能量中的作用，使uv固化的EPA-PUA共混物成为需要抗空化侵蚀的聚合物涂层的有希望的候选材料。

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引用次数: 0

TEA-net: A multimodal deep learning framework for tool wear classification in biomedical machining TEA-net：生物医学加工中刀具磨损分类的多模态深度学习框架

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-02-15 Epub Date: 2025-12-19 DOI: 10.1016/j.wear.2025.206484

Phanindra Addepalli , Lavanya Addepalli , Vidya Sagar S.D , Worapong Sawangsri , Saiful Anwar Che Ghani , Jaime Lloret

In biomedical machining, proper tool wear monitoring is required as surface integrity and dimensional accuracy have a direct impact on the way of the implants to work and the safety of patients. Traditional monitoring methods that are based on single-modality data do not usually identify the presence of the subtle wear development in a complex cutting environment. In this research, the authors introduce a deep-learning methodology based on multimodality as Thermo-Edge Attention Network (TEA-Net) consisting of the fusion of thermal images, line maps, and statistical wear detection to obtain accurate tool-wear separation. The model uses multi-head attention to focus on local wear areas and combines similarities of complementary cues of various data modalities using a common fusion point. Experimental analyses on Austenitic Stainless Steel 316L (SS316L) and Zirconia (ZrO₂) machining tools show that TEA-Net can be evaluated at 82.5 and 88.4 classification accuracy on direct comparison with conventional machine-learning models, and with standard convolutional networks, respectively, with 15-percent higher accuracy. This framework also has a high capability of discrimination whose Area Under the Receiver Operating Characteristic Curve (AUC) exceed 0.97 therefore showing the reliability in both ductile and brittle materials. The findings show that multimodal integration has a significant positive effect on interpretability and prediction stability despite the scanty data quantity. TEA-Net is therefore an effective and timely solution to intelligent tool-wear saving and predictive maintenance in biomedical manufacturing sector.

在生物医学加工中，由于表面完整性和尺寸精度直接影响到植入物的工作方式和患者的安全，因此需要适当的刀具磨损监测。基于单模态数据的传统监测方法通常不能识别复杂切削环境中细微磨损发展的存在。在这项研究中，作者引入了一种基于多模态的深度学习方法，即热边缘注意网络（TEA-Net），该方法由热图像、线形图和统计磨损检测的融合组成，以获得准确的工具磨损分离。该模型使用多头关注来关注局部磨损区域，并使用一个共同的融合点将各种数据模式的互补线索的相似性结合起来。对奥氏体不锈钢316L （SS316L）和氧化锆（ZrO2）加工工具的实验分析表明，与传统机器学习模型和标准卷积网络进行直接比较，TEA-Net的分类准确率分别为82.5和88.4，准确率提高了15%。该框架还具有较高的识别能力，其接收工作特征曲线下面积（AUC）超过0.97，因此在韧性和脆性材料中都显示出可靠性。结果表明，在数据量不足的情况下，多模态积分对可解释性和预测稳定性有显著的正向影响。因此，TEA-Net是生物医学制造领域智能工具磨损节省和预测性维护的有效及时的解决方案。

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引用次数: 0

High-temperature wear behavior and mechanical properties of laser-clad AlCoCrFeNi HEA coatings on H13 steel co-strengthened by B4C/Y2O3 B4C/Y2O3共强化H13钢激光熔覆AlCoCrFeNi HEA涂层的高温磨损行为及力学性能

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-02-15 Epub Date: 2025-12-24 DOI: 10.1016/j.wear.2025.206481

Yiwen Zhou , Jiang Bi , Dehua Liu , Zhuoyun Yang , Guojiang Dong , Yuhang Li , Xiangdong Jia

H13 hot-work die steel is susceptible to oxidative spalling during high-temperature service, while conventional treatments struggle to balance strength and toughness. In this study, an AlCoCrFeNi high-entropy alloy coating was fabricated via laser cladding, with an innovative dual-phase strengthening system incorporating. The composite coating exhibits superior performance: average microhardness reaches 596.9 (±8.4) HV_0.2 (2.8 × higher than the substrate); at 600 °C, the wear rate ((3.86 ± 0.15) × 10⁻⁵ mm³ N⁻¹ m⁻¹) decreases by 70.2 % compared to H13 steel; corrosion current density (3.34 × 10⁻⁷ A/cm²) is 45 % lower than the base coating. The strengthening mechanisms originate from B₄C-derived dispersion hardening and Y₂O₃-enhanced oxidation resistance. This work proposes a multi-scale synergistic strategy for prolonging mold service life and establishes a theoretical foundation for coatings under extreme conditions.

H13热加工模具钢在高温使用过程中容易氧化剥落，而传统的处理方法难以平衡强度和韧性。在本研究中，采用激光熔覆的方法制备了AlCoCrFeNi高熵合金涂层，该涂层采用了创新的双相强化系统。复合镀层表现出优异的性能：平均显微硬度达到596.9（±8.4）HV0.2（比基体高2.8倍）；在600℃时，磨损率（（3.86±0.15）× 10−5 mm3 N−1 m−1）比H13钢降低了70.2%；腐蚀电流密度（3.34 × 10−7 A/cm2）比基层低45%。强化机制源于b4c的分散硬化和y2o3增强的抗氧化性。本文提出了延长模具使用寿命的多尺度协同策略，并为极端条件下涂层的研究奠定了理论基础。

{"title":"High-temperature wear behavior and mechanical properties of laser-clad AlCoCrFeNi HEA coatings on H13 steel co-strengthened by B4C/Y2O3","authors":"Yiwen Zhou , Jiang Bi , Dehua Liu , Zhuoyun Yang , Guojiang Dong , Yuhang Li , Xiangdong Jia","doi":"10.1016/j.wear.2025.206481","DOIUrl":"10.1016/j.wear.2025.206481","url":null,"abstract":"<div><div>H13 hot-work die steel is susceptible to oxidative spalling during high-temperature service, while conventional treatments struggle to balance strength and toughness. In this study, an AlCoCrFeNi high-entropy alloy coating was fabricated via laser cladding, with an innovative dual-phase strengthening system incorporating. The composite coating exhibits superior performance: average microhardness reaches 596.9 (±8.4) HV<sub>0.2</sub> (2.8 × higher than the substrate); at 600 °C, the wear rate ((3.86 ± 0.15) × 10<sup>−5</sup> mm<sup>3</sup> N<sup>−1</sup> m<sup>−1</sup>) decreases by 70.2 % compared to H13 steel; corrosion current density (3.34 × 10<sup>−7</sup> A/cm<sup>2</sup>) is 45 % lower than the base coating. The strengthening mechanisms originate from B<sub>4</sub>C-derived dispersion hardening and Y<sub>2</sub>O<sub>3</sub>-enhanced oxidation resistance. This work proposes a multi-scale synergistic strategy for prolonging mold service life and establishes a theoretical foundation for coatings under extreme conditions.</div></div>","PeriodicalId":23970,"journal":{"name":"Wear","volume":"587 ","pages":"Article 206481"},"PeriodicalIF":6.1,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145842283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influence of WCp addition (1:1 ratio) on the dry wear behavior of in-situ synthesized B4C-Ti DEDed hardfacing against Si3N4 counterbody WCp添加量（1:1）对原位合成B4C-Ti DEDed堆焊面对Si3N4 counterbody干磨损行为的影响

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-02-15 Epub Date: 2025-12-19 DOI: 10.1016/j.wear.2025.206479

Huabing Gao , Wenjun Zhu , Chunhuan Guo , Wei Chen , Fengchun Jiang

A dual ceramics (32.5 wt%B₄C-32.5 wt%WC)-T55 coating was fabricated via laser direction energy deposition on TC4, achieving α/β-Ti matrix with dispersed B₄C, WC, W₂C, TiB, and TiC phases, yielding ultrahigh hardness (1956.3 HV_0.2 vs. 412.6 HV_0.2 in 32.5 wt%B₄C-T55). Both coatings exhibited abrasive-surface fatigue-tribochemical hybrid wear with coefficient of friction 0.46–0.60. The dual-ceramic coating demonstrated lower wear rate (∼10⁻¹¹-10⁻¹² mm³/(N·m)) and counterbody damage (lg(W_DED) + lg(W_Ball) = -14.51) than single-ceramic (−10.39), attributed to WC-induced phase optimization. Wear mechanisms transitioned from coating spallation (B₄C-T55/Si₃N₄) to counterbody abrasion (B₄C-WC-T55/Si₃N₄). Results confirm dual-ceramic design enhances wear resistance via microstructure tailoring.

采用激光定向能沉积方法在TC4上制备了双晶陶瓷(32.5 wt%B4C-32.5 wt%WC)-T55涂层，得到了具有分散的B4C、WC、W2C、TiB和TiC相的α/β-Ti基体，获得了超高的硬度（32.5 wt%B4C-T55中的1956.3 HV0.2比412.6 HV0.2）。两种涂层均表现为磨粒-表面疲劳-摩擦化学混合磨损，摩擦系数为0.46 ~ 0.60。由于wc诱导的相优化，双陶瓷涂层的磨损率（~ 10−11-10−12 mm3/(N·m)）和反体损伤(lg（WDED) + lg(WBall) = -14.51）低于单陶瓷涂层（- 10.39）。磨损机制由涂层脱落（B4C-T55/Si3N4）转变为对位体磨损（B4C-WC-T55/Si3N4）。结果表明，双陶瓷设计通过微观结构定制提高了耐磨性。

引用次数: 0

Mechanical pitting mechanism of hydraulic cavitation erosion in a venturi: A coupled experimental-numerical investigation 文丘里管水力空化侵蚀的机械点蚀机理：实验-数值耦合研究

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-02-15 Epub Date: 2025-12-23 DOI: 10.1016/j.wear.2025.206488

Liang Fang , Xiaogang Xu , Anjun Li , Zhenbo Wang , Qiang Li

Hydraulic cavitation erosion is a prevalent form of wear in fluid engineering, which primarily results from the mechanical effects of cavity collapse. However, a precise understanding of the dynamic pitting process has been lacking. Coupled synchronized cavitation-erosion experiments with high-fidelity compressible cavitation simulations in a Venturi, this study investigates the mechanical pitting mechanism. The results definitively demonstrate that pitting originates solely from detached cavity collapse, and is irrelevant to attached cavity development and movement. The collapse process is revealed to be progressive, evolving through three successive physical stages: the initial isolated cavity collapse stage, the core large cavity collapse stage where extreme pressure arises from the spatiotemporal superposition of collapse-induced shocks, and the subsequent rebound cavity collapse stage characterized by multiple pressure peaks. Specifically, quantitative analysis attributes differential pitting severity to these three stages: the large cavity collapse stage is the core pitting source, the rebound cavity collapse stage is a significant contributor, while the isolated cavity collapse stage presents only minor supplementary pitting. Moreover, the study clarifies that the potential pitting risk from cavity shedding is not direct but attributable to the collapse of shedding-induced isolated cavities; however, the actual damage is negligible due to low pressure amplitude and distribution density. Additionally, pitting severity worsens nonlinearly with cavitation aggravation, underscoring that preventing severe cavitation is paramount for mitigating damage.

水力空化冲刷是流体工程中常见的一种磨损形式，其主要原因是空化塌陷的力学效应。然而，对动态点蚀过程的精确理解一直缺乏。在文丘里腔中进行了高保真可压缩空化模拟的同步空化-侵蚀耦合实验，研究了机械点蚀机理。结果明确地表明，点蚀完全是由离体空腔塌陷引起的，与附体空腔的发育和运动无关。崩塌过程是一个渐进的过程，经历了三个连续的物理阶段：最初的孤立空腔崩塌阶段、崩塌冲击时空叠加产生极端压力的核心大空腔崩塌阶段和随后以多重压力峰为特征的反弹空腔崩塌阶段。具体而言，定量分析将不同程度的点蚀归因于这三个阶段：大空腔塌陷阶段是核心点蚀源，反弹空腔塌陷阶段是重要的点蚀源，而孤立空腔塌陷阶段只出现少量的补充点蚀。此外，该研究还阐明了空腔脱落的潜在点蚀风险不是直接的，而是可归因于脱落引起的孤立空腔的崩溃；但由于压力幅值和分布密度较低，实际损伤可以忽略不计。此外，随着空化的加剧，点蚀的严重程度呈非线性恶化，这表明防止严重的空化对于减轻损害至关重要。

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引用次数: 0

Bionic synergistic enhancement of erosive wear resistance with mechanical properties 仿生协同增强机械性能的耐冲蚀磨损性能

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-02-15 Epub Date: 2025-12-23 DOI: 10.1016/j.wear.2025.206490

Haiyue Yu , Kaixin Sun , Jianfeng Song , Junqiu Zhang , Zhiwu Han

Erosion wear impairs the mechanical strength of flow components, severely restricting machinery, energy, and related industrial development. Bionics offers new solutions to the problem of wear. Drawing inspiration from Mammillaria hahniana cactus petals, this study proposes a new bionic model: a symmetrical biconical structure. Multiple bionic petal models were fabricated using fused deposition modelling (FDM) technology. Gas-solid erosion tests were conducted using gravel particles of different sizes at various angles of erosion. Tests have shown that the biconical structure exhibits superior erosion resistance at high angles (≥60°), achieving a maximum erosion wear rate reduction of 45.9 % compared to other samples. Computational fluid dynamics (CFD) analysis was used to study the flow patterns and the way the particles moved. The biconical structure's unique streamlined shape prevents the boundary layer from separating, guiding the particles to slip directionally along the cone surface. This reduces the normal impact and sliding friction between the particles and the sample surface. Meanwhile, tensile and compression tests showed that the front and back ends of the biconical structure could support each other, enabling the structure to resist plastic deformation during erosion. Additionally, the overall structural strength of the biconical samples increased, particularly with regard to compressive loads. This study overcomes the shortcomings of conventional erosion-resistant structures, which are limited to a single function. The synergistic effect of erosion and deformation resistance is achieved through ‘flow field regulation - particle motion guidance - stress dispersion’, which enriches the theoretical system in the field of bionic wear resistance.

冲蚀磨损损害了流动部件的机械强度，严重制约了机械、能源和相关工业的发展。仿生学为磨损问题提供了新的解决方案。本研究从哺乳动物（Mammillaria hahniana）仙人掌花瓣中获得灵感，提出了一种新的仿生模型：对称的双圆锥形结构。采用熔融沉积建模（FDM）技术制备了多个仿生花瓣模型。采用不同粒径的砾石颗粒在不同的冲蚀角度下进行气固冲蚀试验。试验表明，双锥形结构在高角度（≥60°）下具有优异的抗冲蚀性能，与其他样品相比，最大冲蚀磨损率降低45.9%。采用计算流体力学（CFD）分析研究了颗粒的流动模式和运动方式。双锥结构独特的流线型防止边界层分离，引导颗粒沿锥面定向滑动。这减少了颗粒和样品表面之间的正常冲击和滑动摩擦。同时，拉伸和压缩试验表明，双锥结构前后端可以相互支撑，使结构能够抵抗侵蚀时的塑性变形。此外，双锥形试样的整体结构强度增加，特别是在压缩载荷方面。这项研究克服了传统的抗侵蚀结构局限于单一功能的缺点。通过“流场调节-颗粒运动引导-应力分散”实现抗冲蚀和抗变形的协同效应，丰富了仿生耐磨领域的理论体系。

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引用次数: 0

Material removal mechanism and micro evolution of ultrasonic elliptical vibration cutting of tungsten alloys based on polycrystalline diamond and single crystal diamond tools 基于多晶金刚石和单晶金刚石刀具的钨合金超声椭圆振动切削材料去除机理及微观演化

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-02-01 Epub Date: 2025-12-13 DOI: 10.1016/j.wear.2025.206468

Jinbo Liu , Zhigang Dong , Yan Bao , Renke Kang , Yintian Xing , Sen Yin

Tungsten alloys have two-phase structure, high heterogeneity and hard and brittle characteristics, and the combination of single crystal diamond (SCD) tool and ultrasonic elliptical vibration cutting (UEVC) has become critical for UPM of tungsten alloys. However, SCD tool costs and severe UEVC speed limitations constrain mass production. Therefore, UEVC with polycrystalline diamond (PCD) tools was proposed for efficient precision machining. UEVC experiments establish distinct wear mechanisms: PCD tools exhibit gradual wear through grain detachment, yielding a characteristic “honeycomb” morphology, whereas SCD tools undergo abrupt failure via edge chipping. Critically, PCD tools demonstrate superior cutting performance stability at elevated cutting speeds. Furthermore, while the surface roughness values are comparable (PCD: Sa≈65 nm, SCD: Sa≈26 nm), the evolution mechanism of surface morphology and subsurface microstructure differ significantly: PCD tools generate a 1.5 μm thick subsurface layer characterized by fine grains and extensive dislocation entanglements, forming a fine-grain reinforced zone. Conversely, SCD tools generate a fragmented-grain zone of similar thickness but containing localized banded dislocations. The refined microstructure induced by PCD tools is potentially more advantageous for enhancing the irradiation resistance of tungsten alloys. This work validates the feasibility of substituting PCD for SCD tools in UEVC of tungsten alloys, which approach offers a promising route towards the high-efficiency, low-cost and UPM for tungsten alloy components, significantly advancing the potential for industrial adoption of UEVC technology.

钨合金具有两相组织、高非均质性和硬脆特性，单晶金刚石刀具与超声椭圆振动切削（UEVC）相结合已成为钨合金UPM加工的关键。然而，SCD工具的成本和严重的UEVC速度限制限制了大规模生产。为此，提出了利用聚晶金刚石（PCD）刀具进行UEVC的高效精密加工。UEVC实验建立了不同的磨损机制：PCD工具通过颗粒脱落逐渐磨损，产生典型的“蜂窝”形态，而SCD工具则通过边缘切屑突然失效。关键是，PCD刀具在高切削速度下表现出卓越的切削性能稳定性。此外，虽然表面粗糙度值相当（PCD: Sa≈65 nm, SCD: Sa≈26 nm），但表面形貌和亚表面微观结构的演化机制存在显著差异：PCD工具产生1.5 μm厚的亚表层，其特征是细晶粒和广泛的位错纠缠，形成细晶粒增强区。相反，SCD工具产生的颗粒破碎区厚度相似，但包含局部带状位错。PCD刀具诱导的精细组织更有利于提高钨合金的耐辐照性。本研究验证了在钨合金UEVC中用PCD代替SCD工具的可行性，为实现钨合金组件的高效、低成本和UPM提供了一条有前途的途径，显著提高了UEVC技术的工业应用潜力。

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引用次数: 0

Fretting wear and fatigue behavior evaluation of aluminum alloy–steel connections fasten by type II ring groove rivet under tension loading 张拉载荷下II型环槽铆钉紧固铝合金钢连接的微动磨损及疲劳性能评价

IF 6.1 1区工程技术 Q1 ENGINEERING, MECHANICAL

Wear

Pub Date : 2026-02-01 Epub Date: 2025-12-13 DOI: 10.1016/j.wear.2025.206472

Dongfang Zeng , Yongjie Su , Yan Xu , Zhisheng Liu , Tian Xu , Chaotao Liu , Liantao Lu

This study investigates the fretting wear and fatigue behavior of aluminum alloy–steel connections fastened using type II ring groove rivets under tension loading. It includes fatigue testing, fretting wear and fatigue analysis, and subsequent fatigue strength prediction. Experimental results reveal that fatigue cracks initiate at the edge of the prefabricated hole in the aluminum alloy plate, accompanied by severe fretting wear at the interface between the rivet and the aluminum alloy plate. A finite element model was developed to analyze the contact status and stress distribution within the riveted structure. The actual clamping force was determined by comparing the contact status of the clamped plates observed experimentally and in simulations. Results indicate that the clamping force significantly decreases from its initial value during the test, leading to a reduction in the fatigue strength of the riveted structure. Additionally, the fatigue crack initiation location shifts from the length to the width direction of the aluminum plate, and from a location distant from the prefabricated hole to the hole edge. As tensile stresses govern the crack initiation, the SWT criterion, when accounting for clamping force loss, accurately identifies fatigue crack initiation sites in riveted connection, with a fatigue strength prediction error of 15 %.

本文研究了II型环槽铆钉固定的铝合金-钢连接在拉伸载荷下的微动磨损和疲劳行为。它包括疲劳试验、微动磨损和疲劳分析，以及随后的疲劳强度预测。试验结果表明：铝合金板预制孔边缘处产生疲劳裂纹，铆钉与铝合金板界面处出现严重的微动磨损；建立了有限元模型，分析了铆接结构内部的接触状态和应力分布。实际夹紧力是通过对比实验和模拟观察到的夹紧板的接触状态来确定的。结果表明，在试验过程中，夹紧力较初始值明显减小，导致铆接结构的疲劳强度降低。疲劳裂纹起裂位置由铝板的长度方向向宽度方向偏移，由预制孔向孔边缘偏移。由于拉伸应力控制裂纹起裂，当考虑夹紧力损失时，SWT准则可以准确识别铆接连接的疲劳裂纹起裂位置，疲劳强度预测误差为15%。

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引用次数: 0

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