Scholarlink

<p>Magnetorheological Shear Thickening Polishing (MRSTP) integrates the dual effects of shear thickening and magnetization enhancement, making it a highly promising multi-field assisted polishing technology. Experimental studies on MRSTP have demonstrated its capability to achieve nanoscale surface finishes. Additionally, a two-dimensional predictive model for material removal rate (MRR) has been established based on the one-dimensional flow characteristics of the medium. However, structured MRSTP tools require a three-dimensional model for MRR prediction, leaving the microscopic material removal mechanism unclear. Therefore, this study developed a new three-dimensional MRR model by incorporating non-Newtonian fluid dynamics, spherical kinematics, abrasive–workpiece contact mechanics and a statistical model of active abrasives. This model enables the prediction of pressure and MRR distribution across a three-dimensional contact region. Validation experiments conducted on Ti-6Al-4V alloy workpieces show an average prediction error of only 7.94%. The results further indicate that increasing the feed angle and spindle speed while reducing the working gap enhances the MRR. This study provides a theoretical foundation for further MRSTP research and contributes to the development of polishing strategies tailored to specific materials and geometries.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Theoretical and experimental investigations on material removal of MRSTP with structured ball head magnetic pole

  • 期刊论文

  • 发表日期：

    2025年7月29日

查看全文
  • Guangyi Wu,
  • Yebing Tian,
  • Cheng Qian,
  • Zhen Ma,
  • Abdul Wahab Hashmi

摘要

Magnetorheological Shear Thickening Polishing (MRSTP) integrates the dual effects of shear thickening and magnetization enhancement, making it a highly promising multi-field assisted polishing technology. Experimental studies on MRSTP have demonstrated its capability to achieve nanoscale surface finishes. Additionally, a two-dimensional predictive model for material removal rate (MRR) has been established based on the one-dimensional flow characteristics of the medium. However, structured MRSTP tools require a three-dimensional model for MRR prediction, leaving the microscopic material removal mechanism unclear. Therefore, this study developed a new three-dimensional MRR model by incorporating non-Newtonian fluid dynamics, spherical kinematics, abrasive–workpiece contact mechanics and a statistical model of active abrasives. This model enables the prediction of pressure and MRR distribution across a three-dimensional contact region. Validation experiments conducted on Ti-6Al-4V alloy workpieces show an average prediction error of only 7.94%. The results further indicate that increasing the feed angle and spindle speed while reducing the working gap enhances the MRR. This study provides a theoretical foundation for further MRSTP research and contributes to the development of polishing strategies tailored to specific materials and geometries.