<p>Vibratory polishing is categorized as one of the modern fine finishing techniques based on abrasive powders that are extensively used by manufacturers. In this technique, the relative motion between particles and the workpiece causes chip removal, deburring, and reduction of surface roughness. The kinetic energy of the particles is generally supplied using an electromagnetic shaker or an unbalanced rotary shaft. In this paper, the ability of low-frequency acoustic energy for polishing the CK60 steel alloy was examined using hybrid numerical and experimental approaches. To this end, the discrete element method was used to simulate the polishing mechanism and to predict the most efficient conditions for the process. The Hertz–Mindlin model was employed to simulate contact forces between particles and the workpiece. Initially, experiments were performed to determine the input parameters for the contact model, and then, numerical simulations were conducted at different frequencies. The appropriate frequency for the efficient polishing process was predicted and verified with experimental measurements. It was observed that acoustic energy has the ability to polish difficult-to-machine parts with acceptable surface integrity.</p>

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Hybrid Numerical and Experimental Approach to Study Acoustic-Based Vibratory Polishing of CK60 Steel Alloy

  • Sajjad Beigmoradi

摘要

Vibratory polishing is categorized as one of the modern fine finishing techniques based on abrasive powders that are extensively used by manufacturers. In this technique, the relative motion between particles and the workpiece causes chip removal, deburring, and reduction of surface roughness. The kinetic energy of the particles is generally supplied using an electromagnetic shaker or an unbalanced rotary shaft. In this paper, the ability of low-frequency acoustic energy for polishing the CK60 steel alloy was examined using hybrid numerical and experimental approaches. To this end, the discrete element method was used to simulate the polishing mechanism and to predict the most efficient conditions for the process. The Hertz–Mindlin model was employed to simulate contact forces between particles and the workpiece. Initially, experiments were performed to determine the input parameters for the contact model, and then, numerical simulations were conducted at different frequencies. The appropriate frequency for the efficient polishing process was predicted and verified with experimental measurements. It was observed that acoustic energy has the ability to polish difficult-to-machine parts with acceptable surface integrity.