Simulation of solid particle erosion wear using discrete element method: Comparison of experimental and analysis results

IF 4.7 2区 材料科学 Q2 ENGINEERING, CHEMICAL
Particuology Pub Date : 2025-12-01 Epub Date: 2025-10-17 DOI:10.1016/j.partic.2025.10.003
Mehmet Esat Aydin , Veysel Firat , Mehmet Bagci
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引用次数: 0

Abstract

The Discrete Element Method (DEM) stands out as an effective computational tool for modeling complex mechanical wear processes such as solid particle erosion. The DEM method offers significant advantages in terms of providing realistic results, particularly when it comes to examining particle and surface interactions over time and predicting surface deformations. In this study, the effectiveness of DEM in determining the solid particle erosion wear behavior was evaluated by comparing it with experimental data. In the experimental phase, aluminum oxide (Al2O3) particles were impacted onto St37 structural steel samples at different impact angles (30°, 60°, 90°) and different quantities (1, 2, 3 kg) to calculate erosion rates. DEM based simulation analyses were performed using the same parameters, and surface deformations were modelled. When compared with experimental data, the simulation results showed high convergence, particularly at high impact angles such as 60° and 90° (5–15 % deviation). However, deviations increased at low impact angles such as 30°. While DEM analyses can successfully predict surface embedment deformations, they have not been able to adequately reflect damage caused by ductile behavior such as sliding. The surface embedment effect has shown a similarity of around 5 % at high impact angles compared to experimental data. In addition, ANOVA tests were applied to the erosion rates found in experiments and simulations to statistically evaluate the results. The test results statistically revealed that the most effective variable on the erosion rate was the angle of impact (p < 0.0001). The results demonstrate that the discrete element method is a reliable approach for modeling solid particle erosion wear behavior and, when used in conjunction with experimental data, can provide effective solutions for predicting and preventing erosion-induced damage during the design phase in systems such as jet engine turbines, space applications, and dust particle interaction engineering problems.

Abstract Image

用离散元法模拟固体颗粒冲蚀磨损:实验与分析结果的比较
离散元法(DEM)作为模拟复杂机械磨损过程(如固体颗粒侵蚀)的有效计算工具而脱颖而出。DEM方法在提供逼真的结果方面具有显著的优势,特别是在检测颗粒和表面相互作用以及预测表面变形时。在本研究中,通过与实验数据的对比,评估了DEM在确定固体颗粒冲蚀磨损行为方面的有效性。在实验阶段,氧化铝(Al2O3)颗粒以不同的冲击角度(30°、60°、90°)和不同的数量(1、2、3 kg)冲击St37结构钢样品,计算侵蚀速率。使用相同的参数进行基于DEM的仿真分析,并对表面变形进行建模。与实验数据相比,仿真结果具有较高的收敛性,特别是在大冲击角(如60°和90°)(偏差5 - 15%)时。然而,在低冲击角度(如30°)时,偏差增加。虽然DEM分析可以成功地预测表面嵌入变形,但它们不能充分反映由滑动等延性行为引起的损伤。在大冲击角下,表面嵌入效应与实验数据的相似性约为5%。此外,对实验和模拟得到的侵蚀速率进行了方差分析,对结果进行了统计评价。试验结果统计显示,对冲蚀率影响最大的变量是冲击角(p < 0.0001)。结果表明,离散元方法是模拟固体颗粒侵蚀磨损行为的可靠方法,当与实验数据结合使用时,可以为喷气发动机涡轮、空间应用和粉尘颗粒相互作用工程等系统的设计阶段预测和预防侵蚀引起的损伤提供有效的解决方案。
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
Particuology
Particuology 工程技术-材料科学:综合
CiteScore
6.70
自引率
2.90%
发文量
1730
审稿时长
32 days
期刊介绍: The word ‘particuology’ was coined to parallel the discipline for the science and technology of particles. Particuology is an interdisciplinary journal that publishes frontier research articles and critical reviews on the discovery, formulation and engineering of particulate materials, processes and systems. It especially welcomes contributions utilising advanced theoretical, modelling and measurement methods to enable the discovery and creation of new particulate materials, and the manufacturing of functional particulate-based products, such as sensors. Papers are handled by Thematic Editors who oversee contributions from specific subject fields. These fields are classified into: Particle Synthesis and Modification; Particle Characterization and Measurement; Granular Systems and Bulk Solids Technology; Fluidization and Particle-Fluid Systems; Aerosols; and Applications of Particle Technology. Key topics concerning the creation and processing of particulates include: -Modelling and simulation of particle formation, collective behaviour of particles and systems for particle production over a broad spectrum of length scales -Mining of experimental data for particle synthesis and surface properties to facilitate the creation of new materials and processes -Particle design and preparation including controlled response and sensing functionalities in formation, delivery systems and biological systems, etc. -Experimental and computational methods for visualization and analysis of particulate system. These topics are broadly relevant to the production of materials, pharmaceuticals and food, and to the conversion of energy resources to fuels and protection of the environment.
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