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<p>High precision structural features of high strength martensitic steel are usually achieved by grinding. Under the influence of high strain rate and temperature rise rate during grinding, with the mutual constraint of force, thermal load, and material microstructure at different scales, the stress application exhibits strong imbalance, nonlinearity and multi-scale effects. This makes it difficult to control residual stress, and seriously restricts the service safety and reliability of parts. Therefore, through calculating the critical penetration depth of elastic–plastic abrasive particles in three stages of abrasive particle-workpiece interaction, this paper takes into account the effects of microstructure evolution and critical penetration depth of abrasive particles, then proposes an improved residual stress prediction model. Based on the normal and tangential pressure load models of grinding and the iterative coupling model of grinding force, it takes into account the effects of dislocation density and grain size evolution. By coupling the transient prestressing field of the thermal load with the mechanical stress field of the contact arc surface element, the residual stress distribution on the characteristic structural components is obtained. According to the prediction results, the geometric characteristics have a significant influence on the residual stress distribution after loading and unloading of the thermal stress field. Based on the accurate testing or prediction of the thermal load, the method proposed in this paper can effectively predict the residual stress distribution during the grinding process of structural components, the average error is14.1%.</p>

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Research on residual stress distribution in multi-stress field coupled grinding based on critical penetration depth of abrasive particles

  • 期刊论文

  • 发表日期：

    2025年8月29日

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  • Zishan Ding,
  • Zhenyu Yuan,
  • Yunhui Zhao,
  • Zebiao Lai,
  • Miaoxian Guo,
  • Steven Y. Liang

摘要

High precision structural features of high strength martensitic steel are usually achieved by grinding. Under the influence of high strain rate and temperature rise rate during grinding, with the mutual constraint of force, thermal load, and material microstructure at different scales, the stress application exhibits strong imbalance, nonlinearity and multi-scale effects. This makes it difficult to control residual stress, and seriously restricts the service safety and reliability of parts. Therefore, through calculating the critical penetration depth of elastic–plastic abrasive particles in three stages of abrasive particle-workpiece interaction, this paper takes into account the effects of microstructure evolution and critical penetration depth of abrasive particles, then proposes an improved residual stress prediction model. Based on the normal and tangential pressure load models of grinding and the iterative coupling model of grinding force, it takes into account the effects of dislocation density and grain size evolution. By coupling the transient prestressing field of the thermal load with the mechanical stress field of the contact arc surface element, the residual stress distribution on the characteristic structural components is obtained. According to the prediction results, the geometric characteristics have a significant influence on the residual stress distribution after loading and unloading of the thermal stress field. Based on the accurate testing or prediction of the thermal load, the method proposed in this paper can effectively predict the residual stress distribution during the grinding process of structural components, the average error is14.1%.