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<p>This study investigates the application of magnetorheological shear-thickening polishing (MRSTP) to polish turbine blade tenons. The experimental setup was integrated into a robotic system. The robot precisely controls the position and orientation of the blade tenon, enabling a uniform abrasive flow over the entire workpiece surface. This paper presents a material removal rate model for dynamic blade tenon polishing, developed through the integration of non-Newtonian hydrodynamics, magnetohydrodynamics, robotic spatial kinematics, and velocity kinematics. The model achieved an average prediction error of 5.86% in validation experiments, confirming its accuracy. The experimental results showed that increasing the media flow velocity leads to a higher material removal rate and lower surface roughness. Using the MRSTP method, the maximum material removal rate reached 1.68&#xa0;μm/h, while the surface roughness decreased from Ra 450&#xa0;nm to Ra 41&#xa0;nm, achieving a 91% improvement in surface roughness. This study provides theoretical support for the MRSTP integrated with a robotic system and presents a novel strategy for efficiently and uniformly polishing blade tenons.</p>

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A novel material removal rate model for immersion-type multi-pole coupling MRSTP tool based on robotic kinematics

  • 期刊论文

  • 发表日期：

    2026年6月24日

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  • Yebing Tian,
  • Guangyi Wu,
  • Kunal Arora,
  • Zepeng Chen,
  • Yukang Zhao,
  • Zhipeng Cheng,
  • Zhonghua Tang

摘要

This study investigates the application of magnetorheological shear-thickening polishing (MRSTP) to polish turbine blade tenons. The experimental setup was integrated into a robotic system. The robot precisely controls the position and orientation of the blade tenon, enabling a uniform abrasive flow over the entire workpiece surface. This paper presents a material removal rate model for dynamic blade tenon polishing, developed through the integration of non-Newtonian hydrodynamics, magnetohydrodynamics, robotic spatial kinematics, and velocity kinematics. The model achieved an average prediction error of 5.86% in validation experiments, confirming its accuracy. The experimental results showed that increasing the media flow velocity leads to a higher material removal rate and lower surface roughness. Using the MRSTP method, the maximum material removal rate reached 1.68 μm/h, while the surface roughness decreased from Ra 450 nm to Ra 41 nm, achieving a 91% improvement in surface roughness. This study provides theoretical support for the MRSTP integrated with a robotic system and presents a novel strategy for efficiently and uniformly polishing blade tenons.