Investigation of the ability of low-frequency acoustic energy for polishing of the CK60 steel using a hybrid FE/BE/DEM approach

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computational Particle Mechanics Pub Date : 2022-03-30 DOI:10.1007/s40571-022-00472-y
Sajjad Beigmoradi
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Abstract

The polishing process based on abrasive ceramic particles is one of the non-conventional techniques that is hired extensively by manufacturers. There are different methods to generate kinematic energy for abrasive powders in order to impact the workpiece. In this study, low-frequency acoustic energy was utilized directly to provide motion in abrasive grits for the polishing of the CK60 (high carbon steel) workpiece. Wave shape and frequency of excitations were chosen as the two most important of the process parameters that were dependent on the acoustic source. The effects of these parameters on the kinematics of the particles and contact forces were investigated using the discrete element method (DEM). To this end, three main different types of parameters should be defined for modeling the polishing process: size and distribution of particles, particle–particle and particle–workpiece contact parameters, and boundary conditions of the process for different excitations. The shape, size, and distribution of particles were determined using experimental measurements and verified by simulations. Contact parameters between particles and workpiece were derived by experimental techniques. To define the boundary condition of the process, hybrid finite element/boundary element methods were employed to derive the response of the container due to different acoustic excitations and use it as an input for further DEM simulations. Kinematics of particles were computed at different conditions and compared with the experimental particle image velocimetry tests. The numerical results for the particle’s velocity were in good agreement with the experiments. In the next phase, the most efficient condition for polishing process was computed using DEM. Roughness and microscopic studies of the process approved that employing a square wave shape at 70 Hz for acoustic excitation, which was predicted by numerical simulations, enhances the surface quality of the workpiece significantly.

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低频声能对CK60钢抛光性能的研究
基于磨料陶瓷颗粒的抛光工艺是制造商广泛采用的非常规技术之一。有不同的方法来产生运动能量的磨料粉末,以冲击工件。在本研究中,直接利用低频声能在磨粒中提供运动,用于对CK60(高碳钢)工件进行抛光。选择波形和频率作为依赖于声源的两个最重要的工艺参数。采用离散元法(DEM)研究了这些参数对颗粒运动学和接触力的影响。为此,需要定义三种主要的不同类型的参数来对抛光过程进行建模:颗粒的大小和分布、颗粒-颗粒和颗粒-工件接触参数以及不同激励下的过程边界条件。颗粒的形状、大小和分布是通过实验测量确定的,并通过模拟进行验证。采用实验技术推导了颗粒与工件的接触参数。为了确定过程的边界条件,采用混合有限元/边界元方法推导了容器在不同声激励下的响应,并将其作为进一步DEM模拟的输入。计算了不同条件下粒子的运动学,并与实验粒子图像测速试验进行了比较。数值计算结果与实验结果吻合较好。在第二阶段,利用DEM计算抛光加工的最有效条件。加工过程的粗糙度和微观研究表明,采用数值模拟预测的70 Hz的方波形状进行声激励,可以显着提高工件的表面质量。
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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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