Visual positioning-based microscopic wear failure probability analysis of wet friction component

IF 4.4 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Applied Mathematical Modelling Pub Date : 2025-09-24 DOI:10.1016/j.apm.2025.116475

Jianpeng Wu , Ao Ding , Wenya Shu , Heyan Li , Liyong Wang , Shuai Han

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引用次数: 0

Abstract

The wet friction component, as a crucial part of the power transmission system in mechanical equipment, plays an essential role in ensuring the safety and stability of the equipment’s operation. Consequently, its wear failure directly impacts the power transmission, making the study of its microscopic wear failure significant. This study designs a disc-to-disc test and utilises a white light interferometer to scan the interfacial morphology of the friction component. To facilitate this process, the method employs a visual algorithm to precisely locate the scanned area, allowing for the extraction of microscopic failure characteristics of the friction component. In addition, the study constructs the probability density function of the failure parameters using a kernel density estimator, incorporates it into the limit state function, and applies Monte Carlo simulations to evaluate the microscopic failure probability of the friction component. The results indicate that the visual algorithm can accurately locate the overlapping area of the friction component before and after the test, and the failure probability statistical model can precisely calculate the microscopic failure probability of the friction component.

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基于视觉定位的湿摩擦件微观磨损失效概率分析

湿摩擦元件作为机械设备动力传动系统的重要组成部分，对保证设备的安全稳定运行起着至关重要的作用。因此，其磨损失效直接影响动力传输，因此对其微观磨损失效的研究具有重要意义。本研究设计了一个盘对盘测试，并利用白光干涉仪扫描摩擦部件的界面形态。为了方便这一过程，该方法采用视觉算法来精确定位扫描区域，从而可以提取摩擦部件的微观失效特征。此外，利用核密度估计器构造了失效参数的概率密度函数，并将其纳入极限状态函数，采用蒙特卡罗模拟方法对摩擦构件的微观失效概率进行了评估。结果表明，可视化算法可以准确定位摩擦构件试验前后的重叠区域，失效概率统计模型可以精确计算摩擦构件的微观失效概率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Mathematical Modelling 数学-工程：综合

CiteScore

9.80

自引率

8.00%

发文量

508

审稿时长

43 days

期刊介绍： Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.