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Establishment of wear model and life prediction of drum of hot rolling coiler
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作者 章健 彭艳 +1 位作者 刘宏民 刘云飞 《Journal of Central South University》 SCIE EI CAS 2011年第6期1808-1812,共5页
For the drum of hot rolling coiler is prone to be easily destroyed, the type of MMU-5G abrasion tester was applied to revealing the friction and wear behavior. The morphology observation by scanning electron microscop... For the drum of hot rolling coiler is prone to be easily destroyed, the type of MMU-5G abrasion tester was applied to revealing the friction and wear behavior. The morphology observation by scanning electron microscope (SEM) demonstrates the wear mechanism of the drum, and the test data of the influence coefficient of the normal pressure, relative sliding speed and surface lubrication conditions acted on the linear rate of the wear could be obtained by the regression method. A calculation model, which considers the factors of the structure of the drum, coiling tension and coiling strip specifications, was established by the combination method to predict the wear life of the drum. Then the practical production data was applied into this model and the analysis result was in good accordance with that of actual production. 展开更多
关键词 DRUM wear mechanism combination method wear model wear life
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Velocity-Incorporated Wear Model of Rolling Guide Shoe Material Selection
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作者 Longye Chen Lingyu Yan +1 位作者 Chengliang Liu Zhinan Zhang 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2024年第3期118-135,共18页
To ensure an accurate selection of rolling guide shoe materials,an analysis of the intricate relationship between linear speed and wear is imperative.Finite element simulations and experimental measurements are employ... To ensure an accurate selection of rolling guide shoe materials,an analysis of the intricate relationship between linear speed and wear is imperative.Finite element simulations and experimental measurements are employed to evaluate four distinct types of materials:polyurethane,rubber,polytetrafluoroethylene(PTFE),and nylon.The speed-index of each material is measured,serving as a preparation for subsequent analysis.Furthermore,the velocity-wear factor is determined,providing insights into the resilience and durability of the material across varying speeds.Additionally,a wear model tailored specifically for viscoelastic bodies is explored,which is pivotal in understanding the wear mechanisms within the material.Leveraging this model,wear predictions are made under higher speed conditions,facilitating the choice of material for rolling guide shoes.To validate the accuracy of the model,the predicted degree of wear is compared with experimental data,ensuring its alignment with both theoretical principles and real-world performance.This comprehensive analysis has verified the effectiveness of the model in the selection of materials under high-speed conditions,thereby offering confidence in its reliability and ensuring optimal performance. 展开更多
关键词 Archard model wear model Speed-index wear prediction
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Wear modeling and friction-induced noise:A review
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作者 Yang Tian Muhammad Khan +1 位作者 Hao Yuan Bohao Zheng 《Friction》 2026年第2期23-57,共35页
Wear and friction-induced noises are pivotal tribological phenomena that significantly influence the longevity and efficiency of mechanical systems.This review synthesizes current research on wear modeling and frictio... Wear and friction-induced noises are pivotal tribological phenomena that significantly influence the longevity and efficiency of mechanical systems.This review synthesizes current research on wear modeling and friction-induced noises,exploring their mechanisms,influencing factors,and predictive challenges.Wear modeling encompasses a range of approaches,from traditional methods such as the Archard equation to more advanced numerical and machine learning techniques.These models address diverse mechanisms—adhesive,abrasive,and fatigue wear—which are shaped by material properties,surface roughness,and environmental conditions.Frictioninduced noise,arising from stick-slip,sprag-slip,and mode-coupling,is influenced by surface states,damping,and operational parameters.Crucially,wear and noise are interlinked.Wear reshapes surfaces and dynamics,thereby modulating noise,while noise can serve as a diagnostic tool for wear progression.Yet,existing models often isolate these phenomena,neglecting their synergy and impeding accurate system-life predictions.This review highlights this gap and advocates for the development of integrated wear–noise models,harnessing multiscale simulations,advanced computation,and empirical validation.The development of such models has the potential to significantly enhance the accuracy of durability and acoustic performance predictions.They offer a holistic framework that captures the dynamic interplay between surface degradation and noise generation.This framework is essential for advancing non-invasive detection technologies in industries such as automotive,aerospace,and manufacturing.In these sectors,addressing these dual challenges is crucial for enhancing performance,safety,and efficiency. 展开更多
关键词 friction wear modeling friction-induced noise interrelationship between wear and noise
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Tribological properties and wear prediction model of TiC particles reinforced Ni-base alloy composite coatings 被引量:4
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作者 谭业发 何龙 +2 位作者 王小龙 洪翔 王伟刚 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2014年第8期2566-2573,共8页
TiC particles reinforced Ni-based alloy composite coatings were prepared on 7005 aluminum alloy by plasma spray. The effects of load, speed and temperature on the tribological behavior and mechanisms of the composite ... TiC particles reinforced Ni-based alloy composite coatings were prepared on 7005 aluminum alloy by plasma spray. The effects of load, speed and temperature on the tribological behavior and mechanisms of the composite coatings under dry friction were researched. The wear prediction model of the composite coatings was established based on the least square support vector machine (LS-SVM). The results show that the composite coatings exhibit smaller friction coefficients and wear losses than the Ni-based alloy coatings under different friction conditions. The predicting time of the LS-SVM model is only 12.93%of that of the BP-ANN model, and the predicting accuracies on friction coefficients and wear losses of the former are increased by 58.74%and 41.87%compared with the latter. The LS-SVM model can effectively predict the tribological behavior of the TiCP/Ni-base alloy composite coatings under dry friction. 展开更多
关键词 TiC particles Ni-based alloy composite coating least square support vector machine(LS-SVM) wear prediction model
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A Review on Fretting Wear Mechanisms,Models and Numerical Analyses 被引量:4
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作者 Tongyan Yue Magd Abdel Wahab 《Computers, Materials & Continua》 SCIE EI 2019年第5期405-432,共28页
Fretting wear is a material damage in contact surfaces due to micro relative displacement between them.It causes some general problems in industrial applications,such as loosening of fasteners or sticking in component... Fretting wear is a material damage in contact surfaces due to micro relative displacement between them.It causes some general problems in industrial applications,such as loosening of fasteners or sticking in components supposed to move relative to each other.Fretting wear is a complicated problem involving material properties of tribosystem and working conditions of them.Due to these various factors,researchers have studied the process of fretting wear by experiments and numerical modelling methods.This paper reviews recent literature on the numerical modelling method of fretting wear.After a briefly introduction on the mechanism of fretting wear,numerical models,which are critical issues for fretting wear modelling,are reviewed.The paper is concluded by highlighting possible research topics for future work. 展开更多
关键词 Fretting wear wear models wear mechanisms numerical modelling
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Numerical Model of Ultra-High Molecular Weight Polyethylene Abrasive Wear Tests 被引量:1
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作者 Tomas De la Mora Ramirez Isaias Hilerio Cruz +3 位作者 Marco Antonio Donu Ruiz Noe Lopez Perrusquia David Garcia Bustos Martin Flores Martinez 《Modeling and Numerical Simulation of Material Science》 2020年第1期1-14,共14页
Ultra-high molecular weight polyethylene (UHMWPE) has been used in orthopedics as one of the materials for artificial joints in knee, hip and spine prostheses, most of the implanted joints are designed so that the met... Ultra-high molecular weight polyethylene (UHMWPE) has been used in orthopedics as one of the materials for artificial joints in knee, hip and spine prostheses, most of the implanted joints are designed so that the metal of the prosthesis is articulate against a polymeric material, however the main problems is the average life time of the UHMWPE due to wear, and the particles generated by the friction of the metal on the articulation of the polymer are the most common inducer of osteolysis, generating a loosening of the implant leading to an imminent failure resulting in the total replacement of the prosthesis. In this investigation a numerical model of abrasive wear was made using the classic Archard wear equation applied to dynamic simulation of finite element analysis (FEA) of the micro-abrasion test using a subroutine written in Fortran language linked to the finite element software to predict the rate of wear. The results of the numerical model were compared with tests of abrasive wear in the laboratory, obtaining a margin of error below 5%,concluding that the numerical model is feasible for the prediction of the rate of wear and could be applied in knowing the life cycle of joint prostheses or for the tribological analysis in industrial machinery or cutting tools. The wear coefficient (K) was obtained from the grinding tests depending on the depth of stroke of the crater, which was analyzed by 3D profilometry to obtain the wear rate and the wear constant. 展开更多
关键词 Abrasive wear Finite Element Numerical wear model UHMWPE
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3D finite element analysis of a two-surface wear model in fretting tests
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作者 Stéphanie BASSEVILLE Djamel MISSOUM-BENZIANE Georges CAILLETAUD 《Friction》 SCIE EI CAS CSCD 2023年第12期2278-2296,共19页
This article aims at developing a computationally efficient framework to simulate the erosion of two contact surfaces in three-dimensional(3D),depending on the body resistance.The framework involves finite element(FE)... This article aims at developing a computationally efficient framework to simulate the erosion of two contact surfaces in three-dimensional(3D),depending on the body resistance.The framework involves finite element(FE)resolution of a fretting problem,wear computation via a non-local criterion including a wear distribution parameter(WDP),as well as updating of the geometry and automatic remeshing.Its originality is based on the capability to capture the damage on each surface and obtain local and global results for a quantitative and qualitative analysis.Numerical simulations are carried out for two 3D contact specimens with different values of WDP.The results highlight the importance of correctly modelling wear:One-surface wear model is sufficient from a global point of view(wear volume),or whenever the wear resistance for a body is much higher than that of another one,whereas a 3D two-surface wear model is essential to capturing local effects(contact pressure,wear footprint,etc.)related to the difference in wear resistance of the bodies. 展开更多
关键词 three-dimensional(3D)finite element(FE)simulations fretting two-surface wear model titanium alloys
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基于Archard模型的飞行器折叠翼含间隙铰链磨损特性研究
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作者 余江鸿 马文涛 +3 位作者 易永胜 唐嘉昌 雷豹 姚齐水 《润滑与密封》 北大核心 2026年第1期116-124,共9页
磨损是影响飞行器折叠翼寿命的主要因素之一。为探明飞行器折叠翼含间隙铰链的磨损特性,采用Archard磨损模型,通过数值模拟方法,对某飞行器折叠翼含间隙铰链在低速重载条件下展开到位时的磨损分布规律进行研究,分析不同载荷及转速对铰... 磨损是影响飞行器折叠翼寿命的主要因素之一。为探明飞行器折叠翼含间隙铰链的磨损特性,采用Archard磨损模型,通过数值模拟方法,对某飞行器折叠翼含间隙铰链在低速重载条件下展开到位时的磨损分布规律进行研究,分析不同载荷及转速对铰链轴套磨损体积的影响,并对该飞行器折叠翼含间隙铰链在运行2.5×10^(5)个周期后轴套的磨损量进行计算。计算结果表明:该飞行器折叠翼含间隙铰链的磨损峰值主要分布在铰链轴套边缘区域;载荷以及转速值越大,轴套表面磨损也越严重;当折叠翼铰链运行2.5×10^(5)个周期后,其轴套表面的磨损量最高达到1.782×10^(-2)mm。研究结果可为飞行器折叠翼铰链的设计与应用提供理论支撑。 展开更多
关键词 折叠翼 铰链 Archard模型 磨损特性 飞行器
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基于CAE分析的汽车连接件冲孔冲头寿命研究
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作者 魏良庆 彭成允 《锻压技术》 北大核心 2026年第2期198-205,共8页
为解决某汽车连接件在实际生产中暴露出的冲孔冲头寿命低的问题,利用CAE仿真技术分析了连接件的孔成形过程,并通过改善冲头的受力和磨损情况以提高冲头寿命。首先,建立了仿真用材料模型和冲头磨损模型,保证了试验过程的严谨性以及试验... 为解决某汽车连接件在实际生产中暴露出的冲孔冲头寿命低的问题,利用CAE仿真技术分析了连接件的孔成形过程,并通过改善冲头的受力和磨损情况以提高冲头寿命。首先,建立了仿真用材料模型和冲头磨损模型,保证了试验过程的严谨性以及试验数据的准确性;其次,设计了两种不同外形轮廓的冲头,并与当前冲头进行比较,同时考虑了对后续冲断工位的影响,确定C型冲头的冲孔效果更好;最后,在C型冲头基础上研究了冲孔速度、冲头过渡圆角半径、冲头球面半径和圆心角等关键参数对冲头受力和磨损的影响,并获得了最优方案,即冲孔速度为20 mm·s^(-1)、冲头过渡圆角半径为1.5 mm、冲头球面半径和圆心角分别为12.5 mm和62.7°。 展开更多
关键词 汽车连接件 冲头磨损 冲头受力 CAE仿真 材料模型
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基于灰度田口方法和人工神经网络预测聚乳酸3D打印部件摩擦性能
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作者 宋志峰 郭建英 《塑料》 北大核心 2026年第1期151-157,共7页
采用熔融沉积工艺(FDM)制造了聚乳酸(PLA)部件,利用灰度田口方法(GTM)和人工神经元网络(ANN)研究了喷嘴温度、层高、打印速度对部件磨损性的影响,预测了部件比磨损率。结果表明,层高是影响部件比磨损率最重要的因素,喷嘴温度的影响次之... 采用熔融沉积工艺(FDM)制造了聚乳酸(PLA)部件,利用灰度田口方法(GTM)和人工神经元网络(ANN)研究了喷嘴温度、层高、打印速度对部件磨损性的影响,预测了部件比磨损率。结果表明,层高是影响部件比磨损率最重要的因素,喷嘴温度的影响次之,打印速度的影响不显著;喷嘴温度为240℃、层高为0.1 mm、打印速度为50 mm/s为最优的FDM工艺参数,此时部件的比磨损率最低,其值为0.99×10^(-4) mm^(3)/(N·m);通过优化隐含层神经元数量发现,2个隐含层的网络预测性能最优,当第一和第二隐含层中神经元数量分别为17和9时,该模型表现出优秀的预测性能,最优ANN模型为3-17-9-1,预测和实验比磨损率的均方误差(MSE)最小值为0.005 6,在训练、验证、测试和全部数据集上,预测和实验比磨损率的相关系数(R)均在0.97以上。 展开更多
关键词 灰度田口方法 人工神经元网络 聚乳酸 熔融沉积 比磨损率
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Modeling Notch Wear of Ceramic Tool in High Speed Machining of Nickel-based Superalloy
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作者 肖茂华 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2010年第1期78-83,共6页
On the basis of theoretical analyses and calculations of high speed continuous impact force and tool notch surface temperature acted upon by burr and serrated chip edge, a notch wear model of low stress value and temp... On the basis of theoretical analyses and calculations of high speed continuous impact force and tool notch surface temperature acted upon by burr and serrated chip edge, a notch wear model of low stress value and temperature impact fatigue was established. Saw-tooth-shaped burr and fin-shaped chip edge continuously impacts the rake face and flank face at high speed and high fre-quency, which results in a V-shaped notch wear. An experiment was done to validate that the saw-tooth-shaped burr does affect the notch wear. This model can be utilized to solve reasonably many problems that cannot be explained by any other theoretical assumptions. 展开更多
关键词 ceramic tool Nickel-based superalloy notch wear saw-tooth-shaped burr fin-shaped chip edge model
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基于地形突出度的沥青路面磨耗智能检测
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作者 陈华 白佳宇 吕悦晶 《重庆交通大学学报(自然科学版)》 北大核心 2026年第2期31-38,共8页
路面磨耗检测评价中传统铺砂法和排水法测量路面构造深度效率低且易受人为因素影响,而激光断面检测设备虽检测速度快,但受纵向测线位置和路面线形影响,导致平均断面深度(D_(MP))、路面磨耗率(R_(W))和路面磨耗指数(P_(WI))产生误差,影... 路面磨耗检测评价中传统铺砂法和排水法测量路面构造深度效率低且易受人为因素影响,而激光断面检测设备虽检测速度快,但受纵向测线位置和路面线形影响,导致平均断面深度(D_(MP))、路面磨耗率(R_(W))和路面磨耗指数(P_(WI))产生误差,影响磨耗评价结果的可靠性。为了对路面磨耗进行准确评价与快速检测,提出以地形突出度为磨耗指标进行等级判断、并基于ResNet50模型进行路面磨耗图像分类的方法。采集了相同路面类型不同运营年限道路的图像以及三维纹理数据,确定以地形突出度为评价指标对图像进行磨耗等级判断。然后以ResNet50卷积神经网络作为初始训练模型,采取迁移学习的策略对网络模型进行参数微调,提高模型的训练速度和分类精度。研究结果表明:地形突出度指标能够良好地反映路面磨耗状况,基于ResNet50的路面磨耗检测模型平均准确率可达98.49%。将模型部署于移动端,开发完成的路面磨耗检测APP可运行在任意Android系统手机上,满足实际运用需求,实现了路面磨耗的快速准确检测。 展开更多
关键词 道路工程 路面磨耗检测 路面纹理 地形突出度 ResNet50 模型部署
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基于机器学习的钢轨磨损预测方法
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作者 贾云飞 丁昊昊 +2 位作者 肖乾 王文健 刘启跃 《润滑与密封》 北大核心 2026年第3期155-164,共10页
随着铁路高速化与重载化发展,现场使用的钢轨材料种类愈加繁杂,其磨损行为也更加复杂。准确地预测现场钢轨磨损规律,对钢轨选用与安全服役具有重要作用。随着机器学习在铁路领域的应用,为磨损预测提供了新手段。提出一种利用机器学习建... 随着铁路高速化与重载化发展,现场使用的钢轨材料种类愈加繁杂,其磨损行为也更加复杂。准确地预测现场钢轨磨损规律,对钢轨选用与安全服役具有重要作用。随着机器学习在铁路领域的应用,为磨损预测提供了新手段。提出一种利用机器学习建立磨损模型和钢轨磨损预测的方法。首先建立以材料硬度比、接触应力、转速、蠕滑率为特征的数据集,然后利用机器学习的反向传播神经网络(BPNN)、卷积神经网络(CNN)和极限梯度提升(XGBoost)算法,分别建立磨损模型。评估发现,BPNN算法最适合该数据集结构。为进一步提升BO-BPNN算法模型精度和泛化能力,在BPNN算法中加入贝叶斯算法(BO)优化超参数,实现了94.2%的准确率。利用BO-BPNN磨损模型、动力学仿真和数值计算建立了磨损预测方法,并对PG4和PG5两种钢轨进行磨损预测,发现硬度更高的PG5材料耐磨性能更优。该磨损预测方法为钢轨磨损行为预测提供了新方法,可指导现场钢轨材料选用和运营维护。 展开更多
关键词 钢轨磨损预测 神经网络 机器学习 磨损模型 动力学仿真
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基于感性意象的新中式男正装造型感知评价
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作者 梁钰 王保鲁 +1 位作者 顾远渊 江影 《毛纺科技》 北大核心 2026年第2期86-95,共10页
为了量化消费者对新中式男正装造型设计的感知评价,基于感性工学研究范式,采用眼动实验法与语义差异法,探究消费者对新中式男正装造型要素的关注重点,并通过因子分析、回归法和数量化理论Ⅰ类等量化方法,分析新中式男正装造型设计要素... 为了量化消费者对新中式男正装造型设计的感知评价,基于感性工学研究范式,采用眼动实验法与语义差异法,探究消费者对新中式男正装造型要素的关注重点,并通过因子分析、回归法和数量化理论Ⅰ类等量化方法,分析新中式男正装造型设计要素与感知评价的映射关系。结果表明:新中式男正装的门襟和领部更吸引受试者的视觉注意;新中式男正装造型意象可解构为场合因子、气质因子和时代因子,其中场合因子感知主要受口袋、门襟影响,气质因子感知主要受门襟、领型影响,时代因子感知主要受口袋、门襟和领型的影响。该研究为新中式男正装造型设计优化提供量化依据,助力破解设计与市场脱节困境,推动其文化与商业价值协同提升。 展开更多
关键词 新中式男正装 服装造型 感性意象 感性工学
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某柴油机活塞顶裙结合面微动磨损数值模拟研究
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作者 罗燚 刘娟 沈火明 《重庆理工大学学报(自然科学)》 北大核心 2026年第3期114-120,共7页
针对某柴油机活塞顶裙结合面上出现的微动磨损现象,基于活塞顶和裙部实际关键几何特征,建立活塞顶裙有限元模型,研究法向载荷与位移幅值对磨损过程和结果的影响。基于Archard磨损模型计算磨损量,利用ABAQUS软件的ALE功能和UMESHMOTION... 针对某柴油机活塞顶裙结合面上出现的微动磨损现象,基于活塞顶和裙部实际关键几何特征,建立活塞顶裙有限元模型,研究法向载荷与位移幅值对磨损过程和结果的影响。基于Archard磨损模型计算磨损量,利用ABAQUS软件的ALE功能和UMESHMOTION子程序模拟磨损过程,对比模拟结果与试验数据,验证数值模型的精确性和可靠性。结果显示:完全滑移条件下,位移幅值固定时,法向载荷越低(30 N),磨损深度越大;载荷越高(70 N),磨损深度减小但分布不均。法向载荷固定时,位移幅值增加会显著加剧磨损,但导致接触应力分布更不均匀,边缘应力集中加剧。综合磨损形貌及应力分析可知:位移幅值是影响磨损深度的主导因素,而法向载荷对接触应力的调控作用更显著。 展开更多
关键词 活塞顶裙结合面 微动磨损 Archard模型
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瓦面磨损对重载低速风电齿轮箱滑动轴承润滑特性的影响
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作者 成凌锋 张帆 +2 位作者 陈磊 张海峰 张芳萍 《轴承》 北大核心 2026年第4期34-44,共11页
风电齿轮箱行星齿轮用滑动轴承在重载低速工况下容易磨损,影响轴承的润滑特性、服役特性及寿命。建立了包含磨损区域特征的轴承模型,采用Comsol-Fluent联立的方法对滑动轴承润滑特性进行仿真计算,研究轴瓦磨损和线速度对轴承油膜压力、... 风电齿轮箱行星齿轮用滑动轴承在重载低速工况下容易磨损,影响轴承的润滑特性、服役特性及寿命。建立了包含磨损区域特征的轴承模型,采用Comsol-Fluent联立的方法对滑动轴承润滑特性进行仿真计算,研究轴瓦磨损和线速度对轴承油膜压力、油膜厚度和油膜温度等润滑特性的影响。结果表明:磨损改变了轴瓦的微观型面及动压润滑效应,相比无磨损轴承,随着磨损深度的增加,油膜压力形成2个峰值且位于磨损区域内,最大油膜压力P_(max)及其位置分别随着磨损深度的增大而减小和增大,P_(max)始终位于磨损区域边缘;最高油膜温度T_(max)及其位置随着磨损深度的增大均显著增大,T_(max)始终位于P_(max)后且位于磨损区域内部;油膜厚度在磨损区显著增大,在磨损边缘处发生突变,最小油膜厚度h_(min)及其位置随着磨损深度的增大而增大,并位于磨损边缘结束位置;相比无磨损情况,线速度为0.13 m/s,最大磨损深度δ_(0)从0增大到15μm时,P_(max)降低7.1 MPa(为63.5 MPa),T_(max)增大3.3℃(为68.6℃),h_(min)增大6.3μm(为7.5μm);当线速度增大时,P_(max)减小,T_(max)增大,h_(min)增大。 展开更多
关键词 滑动轴承 齿轮箱 轴瓦 磨损 润滑特性 仿真模型
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基于马尔科夫模型链式喷浆机活塞磨损寿命预测
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作者 王馨婷 刘兆霞 +2 位作者 李玉铭 魏梦晓 付媛媛 《机床与液压》 北大核心 2026年第4期139-145,共7页
针对链式喷浆机核心部件活塞-缸套组的磨损失效问题,为提高设备运行可靠性,提出一种基于灰色预测与马尔科夫理论的链式喷浆机活塞磨损寿命预测模型。基于密封试验以及不同速度和温度工况下的活塞磨损试验获得的相关数据,建立活塞磨损预... 针对链式喷浆机核心部件活塞-缸套组的磨损失效问题,为提高设备运行可靠性,提出一种基于灰色预测与马尔科夫理论的链式喷浆机活塞磨损寿命预测模型。基于密封试验以及不同速度和温度工况下的活塞磨损试验获得的相关数据,建立活塞磨损预测模型;运用遍历法对模型权重进行优化,为进一步提高寿命预测的精确性,将马尔科夫运用于活塞磨损灰色预测模型中,通过状态转移矩阵对预测值进行修正。最后,通过模型预测活塞磨损失效时间,进而预测活塞失效阈值。结果表明:GM(1,1)模型的预测值与实测值之间的平均相对误差为1.4%,最大相对误差为3.4%,表明模型具有初步有效性;通过遍历法优化得到最优权重λ=0.52,较λ=0.5预测精度提高48.4%;经马尔科夫法模型修正后,平均相对误差降低至1.1%,预测精度更符合实际;基于最终模型预测的活塞磨损曲线,当活塞运行至2515 min时,其磨损量将达到失效阈值4.5 mm。研究为有效评估链式喷浆机的可靠性并制定维修方案提供参考。 展开更多
关键词 链式喷浆机 寿命预测 磨损量 马尔科夫模型 灰色预测
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基于高斯函数的地铁线路小半径曲线钢轨打磨方法
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作者 苏先辉 《润滑与密封》 北大核心 2026年第1期168-175,共8页
地铁线路小半径曲线钢轨磨耗问题将导致轮轨接触关系恶化,进而影响车辆动力学性能。钢轨打磨是解决该类磨耗问题的有效手段,然而针对实测廓形的个性化打磨型面设计仍有待深入研究。为此,建立地铁车辆动力学模型和车轮磨耗模型,利用实测... 地铁线路小半径曲线钢轨磨耗问题将导致轮轨接触关系恶化,进而影响车辆动力学性能。钢轨打磨是解决该类磨耗问题的有效手段,然而针对实测廓形的个性化打磨型面设计仍有待深入研究。为此,建立地铁车辆动力学模型和车轮磨耗模型,利用实测曲线段钢轨型面,提出基于高斯函数法的钢轨型面设计方法,并采用径向基神经网络-压缩粒子群优化算法获取最优打磨型面,并对比打磨前后的车辆曲线通过性能和车轮磨耗。根据实测钢轨型面,提出型面优化策略,即针对内侧钢轨主要打磨轨距角区域,对外侧钢轨则侧重打磨侧磨严重的外轨区域,从而显著改善了轮轨接触关系。当速度为60 km/h时,打磨后脱轨系数降低7%,轮轴横向力下降11.5%,轮重减载率改善9.8%,从而有效提升了曲线通过性能。打磨后有效降低了车轮磨耗,当速度为60 km/h时,一位轮对左侧磨耗深度减小4.43%,一位轮对右侧车轮磨耗深度显著降低24.47%。提出的个性化打磨方案为小半径曲线钢轨维护提供了有效的技术路径。 展开更多
关键词 地铁线路 小半径曲线 高斯函数法 动力学性能 轮轨磨耗 磨耗模型
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西部侏罗系地层钻井铣齿滚刀磨损因素分析及预测模型
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作者 柏帅 程桦 +3 位作者 姚直书 王晓云 郭龙辉 王逸洋 《建井技术》 2026年第1期72-81,106,共11页
针对西部侏罗系弱胶结岩层竖井钻机钻井法凿井钻头上铣齿滚刀磨损严重的问题,基于现场测量数据对铣齿滚刀进行磨损分级;开展钻机转速、岩石抗压强度、岩石抗拉强度、岩石硬度和泥浆黏度等磨蚀性因素测试,分析了各因素和安装半径对滚刀... 针对西部侏罗系弱胶结岩层竖井钻机钻井法凿井钻头上铣齿滚刀磨损严重的问题,基于现场测量数据对铣齿滚刀进行磨损分级;开展钻机转速、岩石抗压强度、岩石抗拉强度、岩石硬度和泥浆黏度等磨蚀性因素测试,分析了各因素和安装半径对滚刀磨损的影响规律;通过相关性分析确定铣齿滚刀磨损的关键因素,基于关键因素建立铣齿滚刀的磨损量预测模型公式。结果表明,铣齿滚刀的磨损等级可划分为轻微磨损、一般磨损、中度磨损、严重磨损和完全失效5个级别;铣齿滚刀磨损量与转速、滚刀安装半径、岩石抗压强度、岩石硬度和岩石抗拉强度呈正相关,与泥浆黏度呈负相关;基于西部矿区鄂尔多斯市陶忽图煤矿北风立井超前钻第10次、第11次提钻的现场数据,验证了铣齿滚刀单刀平均磨损量预测模型的准确性。研究结果可为西部矿区侏罗系弱胶结岩层钻井法凿井铣齿滚刀以及类似滚刀的磨损预测提供有效理论参考。 展开更多
关键词 钻井法凿井 铣齿滚刀 滚刀磨损 磨损分级 预测模型
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