超合金真空电弧重熔的重熔模型和裂纹标准:以 IN718 为例

Hengnian Zhang, Xin Li, Tao Zhang, He Jiang, Zhihao Yao, Jianxin Dong
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引用次数: 0

摘要

为提高企业真空电弧重熔(VAR)钢锭的质量,在模拟和一系列设计实验的基础上,开发了重熔模型和开裂标准,以预测 VAR 钢锭的偏析行为、收缩腔、热应力和开裂倾向。重熔模型由 MeltFlow-VAR 和 Abaqus 软件建立。由于 MeltFlow-VAR 无法计算应力,因此通过二次开发程序,在 Abaqus 中引入 VAR 过程的温度场来计算 VAR 钢锭的热应力。该模型通过对一块 406 千克的 IN718 合金 VAR 铸锭进行纵向剖分得到了验证。模拟的熔池演变、收缩空腔、雀斑形成概率和二次枝晶臂间距(SDAS)与铸锭微观结构和实验结果一致。结合热应力、冷却和凝固过程中不同温度下的合金强度以及失效准则,构建了裂纹准则来预测裂纹趋势。通过计算 VAR 钢锭熔化后的完全凝固时间和开裂趋势,可以确定无裂纹的安全脱模时间。该方法可用于探索不同熔化参数的影响、优化 VAR 工艺和提高 VAR 生产质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Remelting Model and Cracking Criterion for Vacuum Arc Remelting of Superalloys: Taking IN718 as an Example

Remelting Model and Cracking Criterion for Vacuum Arc Remelting of Superalloys: Taking IN718 as an Example

To enhance the quality of vacuum arc remelting (VAR) ingots in enterprises, a remelting model and cracking criterion was developed based on simulation and a series of designed experiments to predict the segregation behavior, shrinkage cavity, thermal stress, and cracking tendency of VAR ingot. The remelting model was established by MeltFlow-VAR and Abaqus software. As MeltFlow-VAR cannot calculate the stress, through the secondary development program, the thermal stress of VAR ingot was calculated by introducing the temperature field of VAR process into Abaqus. This model was verified by longitudinal dissection of a 406 kg IN718 alloy VAR ingot. The simulated evolution of molten pool, shrinkage cavity, freckle formation probability and secondary dendrite arm spacing (SDAS) align consistently with the ingot microstructure and experimental results. Combined with thermal stress, the alloy strength at different temperature during cooling and solidification, and failure criterion, a crack criterion was constructed to predict the cracking tendency. Calculating the complete solidification time and cracking tendency of the VAR ingot after melting allows for the determination of the safe demolding time without cracks. This method can be used to explore the effect of different melting parameters, optimize VAR process and improve the quality of VAR production.

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