Scholarlink

<p>The crack defects are prone to occur in multi-alloyed steel during solidification. Reliable hot cracking sensitivity assessment can provide theoretical guidance for improving cracks. Liquidus temperature, as a key input parameter, not only affects the calculation accuracy of the solidification path but also relates to the accuracy of the hot cracking susceptibility assessment. In this study, a new liquidus temperature model is constructed by using FactSage thermodynamic software, and the brittle temperature range (BTR) and Kou criterion are used as the indexes for hot cracking susceptibility assessment. The effects of liquidus temperature models on the solidification path and assessment of hot cracking susceptibility are explored. The results show that the new liquidus temperature model was constructed based on considering the nonlinear relationship between component and liquidus temperature. The error between the calculated and the measured values of the liquidus temperature is within 3.3&#xa0;°C, ensuring high prediction accuracy and reliability. Taking P91 steel as an example, the traditional liquidus temperature models and the new model are introduced into the solidification micro-segregation model to calculate the solidification path and the hot cracking susceptibility. For traditional liquidus temperature models of L1~L4, the deviation percentages of BTR between the calculated and the experimental values are 7.7, − 5.7, − 9.3, and 5.7&#xa0;pct, respectively, and the deviation percentages of Kou criterion between the calculated and experimental values are − 14.3, − 13.1, 3.0, and 3.4&#xa0;pct, respectively. While for the new model, the deviation of BTR and Kou criterion between the calculated and experimental values are only 1.6 and − 1.9&#xa0;pct. Therefore, for multi-alloyed steel, an accurate liquidus temperature model is necessary to ensure accurate prediction of hot cracking susceptibility.</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

Establishment of Liquidus Temperature Model of Multi-alloyed Steel and Its Effect on Hot Cracking Sensitivity

  • 期刊论文

  • 发表日期：

    2025年7月2日

查看全文
  • Yongkun Yang,
  • Chuang Feng,
  • Ziyi Ge,
  • Yang Wang,
  • Silong Zhang,
  • Guoxing Qiu,
  • Xiaoming Li

摘要

The crack defects are prone to occur in multi-alloyed steel during solidification. Reliable hot cracking sensitivity assessment can provide theoretical guidance for improving cracks. Liquidus temperature, as a key input parameter, not only affects the calculation accuracy of the solidification path but also relates to the accuracy of the hot cracking susceptibility assessment. In this study, a new liquidus temperature model is constructed by using FactSage thermodynamic software, and the brittle temperature range (BTR) and Kou criterion are used as the indexes for hot cracking susceptibility assessment. The effects of liquidus temperature models on the solidification path and assessment of hot cracking susceptibility are explored. The results show that the new liquidus temperature model was constructed based on considering the nonlinear relationship between component and liquidus temperature. The error between the calculated and the measured values of the liquidus temperature is within 3.3 °C, ensuring high prediction accuracy and reliability. Taking P91 steel as an example, the traditional liquidus temperature models and the new model are introduced into the solidification micro-segregation model to calculate the solidification path and the hot cracking susceptibility. For traditional liquidus temperature models of L1~L4, the deviation percentages of BTR between the calculated and the experimental values are 7.7, − 5.7, − 9.3, and 5.7 pct, respectively, and the deviation percentages of Kou criterion between the calculated and experimental values are − 14.3, − 13.1, 3.0, and 3.4 pct, respectively. While for the new model, the deviation of BTR and Kou criterion between the calculated and experimental values are only 1.6 and − 1.9 pct. Therefore, for multi-alloyed steel, an accurate liquidus temperature model is necessary to ensure accurate prediction of hot cracking susceptibility.