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<p>Nitrides in steel exhibit distinct angular morphologies, and large-sized nitrides are prone to induce stress concentration during plastic deformation of steel, which leads to crack initiation. In order to accurately predict the growth size of nitrides during solidification, traditional models overlooks the effects of alloying elements such as Al and Ti on the secondary dendrite arm spacing (SDAS). In this study, the empirical model of SDAS calculation is modified by high temperature deoxidation alloying experiment, SEM-EDS, high temperature laser confocal experiment (HT-CLSM) and other characterization methods. Taking TiN precipitation and growth as a case study, a kinetic model considering the coupling of micro-segregation and nitride precipitation and growth was constructed and modified. The results show that the size of nitrides in steel decreases with the increase of cooling rate. The empirical equation based on the measured data of SDAS can significantly improve the prediction accuracy of nitride growth size. The average deviation of TiN size and experimental value under the modified model is only 1.84 pct, and the average deviation of AlN is 7.29 pct. The model is extended to the high-strength steel system for new energy battery packs. The deviation between the predicted and actual values of TiN and AlN sizes are ≤&#xa0;10 pct. This work provides theoretical support and model reference for the precise control and process optimization of nitride inclusions in steel.</p>

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Construction of a Kinetic Model for the Precipitation and Growth of Nitrides in Steel During Solidification Process

  • 期刊论文

  • 发表日期：

    2026年3月23日

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  • Yongkun Yang,
  • Chuang Feng,
  • Shuan Wang,
  • Yusai Ma,
  • Jiaying Wang,
  • Yi Hou,
  • Xiaoming Li,
  • Naihui Yang,
  • Dongpin Zhan

摘要

Nitrides in steel exhibit distinct angular morphologies, and large-sized nitrides are prone to induce stress concentration during plastic deformation of steel, which leads to crack initiation. In order to accurately predict the growth size of nitrides during solidification, traditional models overlooks the effects of alloying elements such as Al and Ti on the secondary dendrite arm spacing (SDAS). In this study, the empirical model of SDAS calculation is modified by high temperature deoxidation alloying experiment, SEM-EDS, high temperature laser confocal experiment (HT-CLSM) and other characterization methods. Taking TiN precipitation and growth as a case study, a kinetic model considering the coupling of micro-segregation and nitride precipitation and growth was constructed and modified. The results show that the size of nitrides in steel decreases with the increase of cooling rate. The empirical equation based on the measured data of SDAS can significantly improve the prediction accuracy of nitride growth size. The average deviation of TiN size and experimental value under the modified model is only 1.84 pct, and the average deviation of AlN is 7.29 pct. The model is extended to the high-strength steel system for new energy battery packs. The deviation between the predicted and actual values of TiN and AlN sizes are ≤ 10 pct. This work provides theoretical support and model reference for the precise control and process optimization of nitride inclusions in steel.