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Predictive simulation of bulk metallic glass crystallization during laser powder bed fusion

机译:Predictive simulation of bulk metallic glass crystallization during laser powder bed fusion

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摘要

Laser powder bed fusion (L-PBF) has been employed to fabricate bulk metallic glass (BMG) parts. However, traditional experimental trial-and-error methods to determine process parameters for specific materials and L-PBF machines are time-consuming and expensive. In this paper, a phenomenological crystallization model, namely the Nakamura model, is coupled with L-PBF process simulation. A convenient approach for the crystallization parameter determination and a two-step Euler method for the numerical implementation has been developed. Numerical simulations are performed using the material parameters of a Zr-based BMG Zr_(59.3)Cu_(28.8)Al_(10.4)Nb_(1.5) (at.%, trade name: AMZ4). The numerical results are validated by comparing with experimental results from different perspectives. Based on the numerical findings, a comprehensive understanding of BMG crystallization behavior during L-PBF is gained. In the end, the crystallization model is implemented in our in-house developed software SAMPLE~(2D). SAMPLE~(2D) simulation results are presented, whereby the L-PBF process window for fully amorphous AMZ4 parts is explored. Thereby, it is believed that the developed numerical software can be applied to aid process development for BMGs by taking the crystallization phenomenon into account.
机译:激光粉末床融合(L-PBF)已被使用批量制造金属玻璃(BMG)部分。然而,传统的实验试错方法来确定工艺参数具体的材料和L-PBF机器耗时和昂贵的。现象学结晶模型,即中村模型,是加上L-PBF过程模拟。决心和结晶参数两步欧拉数值的方法实现了。模拟执行使用材料Zr-based BMG的参数Zr_ (59.3) Cu_ Al_ (28.8) (10.4) Nb_(1.5)。名称:AMZ4)。与实验结果进行比较不同的观点。发现,BMG的全面了解在得到L-PBF结晶行为。最后,结晶模型在我们的内部开发的软件中实现样品~ (2 d)。提出,即L-PBF窗口过程探讨了完全非晶态AMZ4部分。相信发达数值软件可以应用于援助过程发展融合的考虑结晶现象。

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