Performance prediction of erosion in elbows for slurry flow under high internal pressure

Yang, Siqi; Fan, Jun; Zhang, Laibin; Sun, Bingcai

doi:10.1016/j.triboint.2021.106879

Cited by 28 publications

(5 citation statements)

References 48 publications

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“…Yang et al [127] investigated the effect of the internal pressure on elbow erosion due to slurry flows. Erosion tests involving tensile stress were carried out and a new stress-erosion model suitable for high internal pressure was developed based on the experimental data.…”

Section: Critical Evaluation Of Previous Investigationsmentioning

confidence: 99%

Computational Fluid Dynamics Modelling of Liquid–Solid Slurry Flows in Pipelines: State-of-the-Art and Future Perspectives

et al. 2021

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Slurry pipe transport has directed the efforts of researchers for decades, not only for the practical impact of this problem, but also for the challenges in understanding and modelling the complex phenomena involved. The increase in computer power and the diffusion of multipurpose codes based on Computational Fluid Dynamics (CFD) have opened up the opportunity to gather information on slurry pipe flows at the local level, in contrast with the traditional approaches of simplified theoretical modelling which are mainly based on a macroscopic description of the flow. This review paper discusses the potential of CFD for simulating slurry pipe flows. A comprehensive description of the modelling methods will be presented, followed by an overview of significant publications on the topic. However, the main focus will be the assessment of the potential and the challenges of the CFD approach, underlying the essential interplay between CFD simulations and experiments, discussing the main sources of uncertainty of CFD models, and evaluating existing models based on their interpretative or predictive capacity. This work aims at providing a solid ground for students, academics, and professional engineers dealing with slurry pipe transport, but it will also provide a methodological approach that goes beyond the specific application.

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Section: Critical Evaluation Of Previous Investigationsmentioning

confidence: 99%

Computational Fluid Dynamics Modelling of Liquid–Solid Slurry Flows in Pipelines: State-of-the-Art and Future Perspectives

et al. 2021

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“…With the deepening of research and technological innovation, new types and generation processes of wear resistant materials have been developed and proposed. The research on the wear properties and mechanisms of materials has always been a difficult task [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Wear Properties of Metal Material in Dredging Equipment

Wang,

Hu,

Guo

2024

J. Phys.: Conf. Ser.

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In dredging engineering, the parts of dredging and conveying system which contact with dredging mixture often suffer from serious wear and short service life. In order to improve the durability of materials, new materials and generation processes are constantly proposed. It is always a difficult work to analyze the wear properties and mechanism of materials.In this paper, dry friction and abrasive wear tests were carried out on Cr15, Cr26, Fedur®40, medium manganese steel and XGG with Q235 carbon steel as the comparison material. The wear mechanism of materials was analyzed by scanning electron microscope (SEM) observation on the wear surface of materials. Under the test conditions, the dry friction wear rates of the five materials were 6.98×10−6 mm3/Nm,5.71×10−6 mm3/Nm,20.2×10−6 mm3/Nm,21.9×10−6 mm3/Nm and 5.39×10−6 mm3/Nm respectively.The wear rates of abrasive wear tests were 58.3×10−6 mm3/Nm,25.2×10−6 mm3/Nm,83.4×10−6 mm3/Nm,30.9×10−6 mm3/Nm and 32.1×10−6 mm3/Nm respectively. The results show that the metal surface is covered with coarse and deep cutting and chipping marks under abrasive wear, while the metal surface only has fine furrowing and a little fatigue spalling under dry friction wear. The wear rate of abrasive wear of five wear-resistant materials is much higher than that of dry friction wear. Cr26 and XGG showed better wear performance than other materials under the two test conditions.

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“…Erosive wear refers to the process of abrasive particles impacting the surface of the material at a certain angle and moving part of the material away [18,19]. Gao and colleagues used spherical magnetic abrasives for magnetic flow finishing, applying abrasive wear theory and conducting experimental analysis to reduce surface roughness and enhance the material removal rate [20]. Yang and colleagues investigated the impact of SiO 2 and Al 2 O 3 particles on the erosion wear of titanium alloy.…”

Section: Introductionmentioning

confidence: 99%

Research on Cutting Edge form Factor of Milling Tool after Drag Finishing Preparation Based on Discrete Element Method

Zhou,

Wang,

2024

Machines

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Cutting edge preparation is a precision machining process that improves the surface quality of cutting tools through the relative movement of abrasives and the tool. Research on removing materials in drag finishing can be greatly beneficial to tool manufacturing. This paper proposes the hypothesis that both abrasive wear and erosion wear act on the surface of milling tools and discusses the material removal models for abrasive wear and erosion wear. The influence of immersion depth, abrasive velocity, abrasive radius, and abrasive density on the material removal rate in two material removal forms is compared and validated by discrete element simulations. The results show that immersion depth has a greater impact on abrasive wear, while abrasive properties have a greater impact on erosion wear. The correlation between simulation results and theoretical models demonstrates the sensitivity of the two forms of wear on this surface to parameter change differences. Dragging finishing was conducted to verify the effectiveness of the simulation, and the effects of immersion depth, dragging velocity, and abrasive properties on the edge radius and form factor (K value) were studied.

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Performance prediction of erosion in elbows for slurry flow under high internal pressure

Cited by 28 publications

References 48 publications

Computational Fluid Dynamics Modelling of Liquid–Solid Slurry Flows in Pipelines: State-of-the-Art and Future Perspectives

Computational Fluid Dynamics Modelling of Liquid–Solid Slurry Flows in Pipelines: State-of-the-Art and Future Perspectives

Wear Properties of Metal Material in Dredging Equipment

Research on Cutting Edge form Factor of Milling Tool after Drag Finishing Preparation Based on Discrete Element Method

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