Semi-empirical model for abrasive particle velocity prediction in abrasive waterjet based on momentum transfer efficiency

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computational Particle Mechanics Pub Date : 2024-04-16 DOI:10.1007/s40571-024-00747-6
Hyun-Joong Hwang, Yohan Cha, Seok-Jun Kang, Gye-Chun Cho
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Abstract

Abrasive waterjet (AWJ) is a technology that removes a target material with an abrasive accelerated by ultra-high-pressure water. Recently, its application for rock excavations in civil and geotechnical engineering has increased. AWJ excavation performance is affected by the abrasive velocity formed by momentum transfer during mixing and acceleration. The abrasive velocity varies owing to changes in the abrasive flow rate, focusing tube diameter, and focusing tube length. In this study, the momentum transfer efficiency (MTE) according to the abrasive flow rate and focusing tube geometry was investigated by a numerical analysis to better understand the multiphase flow inside the AWJ system. The MTE was defined based on the theoretical relationship between the abrasive velocity ratio and focusing tube factor, and evaluated through the empirical relationship between the water stiffness and focusing tube length. The optimal abrasive flow rate for generating efficient MTE was approximately 15 g/s, which enabled economical and effective acceleration of abrasive particles. Accordingly, a prediction model based on the derived MTE was developed for the final abrasive velocity generated at the tip of the focusing tube. Using the prediction model, it is possible to evaluate the comprehensive relationship between various AWJ parameters. Based on the prediction model, the abrasive–water flow ratio to generate the optimal abrasive velocity was 0.83. The developed prediction model provides guidelines for selecting the optimal focusing tube geometry and applying an economical abrasive flow rate when designing an AWJ system.

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基于动量传递效率的加砂水刀加砂颗粒速度预测半经验模型
加砂水刀(AWJ)是一种利用超高压水加速磨料去除目标材料的技术。最近,它在土木工程和岩土工程岩石开挖中的应用有所增加。AWJ 的挖掘性能受混合和加速过程中动量传递所形成的磨料速度的影响。磨料速度随磨料流速、聚焦管直径和聚焦管长度的变化而变化。本研究通过数值分析研究了磨料流速和聚焦管几何形状所决定的动量传递效率(MTE),以更好地了解 AWJ 系统内部的多相流。MTE 基于磨料流速比和聚焦管系数之间的理论关系进行定义,并通过水硬度和聚焦管长度之间的经验关系进行评估。产生高效 MTE 的最佳磨料流速约为 15 克/秒,这使得磨料颗粒的加速既经济又有效。因此,根据推导出的 MTE,为聚焦管顶端产生的最终磨料速度建立了一个预测模型。利用该预测模型,可以评估各种 AWJ 参数之间的综合关系。根据预测模型,产生最佳磨料速度的磨料-水流量比为 0.83。所开发的预测模型为设计 AWJ 系统时选择最佳聚焦管几何形状和应用经济的磨料流速提供了指导。
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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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