<p>Aluminum alloys, despite their ductility and toughness, present significant challenges in precision machining, particularly for large-diameter components. Ultrasonic-assisted grinding (UAG) has emerged as a superior alternative to conventional methods, offering enhanced material removal efficiency and surface integrity. This study investigates four critical UAG parameters governing the relative abrasive particle velocity during large-diameter spherical mirror processing: applied abrasive pressure, grinding disc rotational speed, mirror surface velocity, and ultrasonic vibration-induced speed. A mechanistic model was developed to quantify the effects of disc speed, pressure, and abrasive particle size on material removal rate (MRR). Controlled grinding experiments demonstrated that ultrasonic-coupled vibration increased material removal by 19.2% under 300&#xa0;MPa pressure over three hours. Iterative parameter optimization reduced the relative error between experimental and simulated MRR by 59.8%. The findings provide a validated framework for optimizing UAG processes, enabling high-precision, high-efficiency machining of large aluminum alloy mirrors while minimizing residual stress.</p>

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A Mechanistic Model for Enhanced Material Removal and Residual Stress Mitigation in Ultrasonic-Assisted Grinding of Large-Diameter Aluminum Alloy Spherical Mirrors

  • Weijie Fu,
  • Lizhang Luo,
  • Hanwen Zhang,
  • Xinming Zhang,
  • Yutang Zhai

摘要

Aluminum alloys, despite their ductility and toughness, present significant challenges in precision machining, particularly for large-diameter components. Ultrasonic-assisted grinding (UAG) has emerged as a superior alternative to conventional methods, offering enhanced material removal efficiency and surface integrity. This study investigates four critical UAG parameters governing the relative abrasive particle velocity during large-diameter spherical mirror processing: applied abrasive pressure, grinding disc rotational speed, mirror surface velocity, and ultrasonic vibration-induced speed. A mechanistic model was developed to quantify the effects of disc speed, pressure, and abrasive particle size on material removal rate (MRR). Controlled grinding experiments demonstrated that ultrasonic-coupled vibration increased material removal by 19.2% under 300 MPa pressure over three hours. Iterative parameter optimization reduced the relative error between experimental and simulated MRR by 59.8%. The findings provide a validated framework for optimizing UAG processes, enabling high-precision, high-efficiency machining of large aluminum alloy mirrors while minimizing residual stress.