Laser surface annealing technique of aged Inconel 718 by laser beam irradiation

Liufa Liu, A. Hirose, K. Kobayashi
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Abstract

Laser was employed to anneal a thin surface layer of aged Inconel 718 by dissolving the strengthening phase, γ". The HE (Hydrogen Embrittlement) resistance of the alloy was improved via such laser surface annealing (LSA) processes. To establish a general LSA technique for engineer applications, experimental LSA processes were conducted to study the effects of the laser process parameters on the formation of the annealed surface layers, and applicable process parameter ranges were obtained. Next, a numerical method was developed for predicting the formation of the laser annealed surface layers in the following steps. Because only the γ" phase was dissolved in the LSA process, the dissolution kinetics of this phase was studied via thermal cycling experiments, and it was proved to follow an Avrami equation. FEM (Finite Element Method) simulations were conducted to calculate the thermal distribution in each laser annealed surface layer, and thermal history data were extracted every certain depth. The volume fractions of the γ" phase at these depths were calculated using these thermal history data based on the deduced Avrami equation. Using a developed relationship between the hardness variation of the alloy and the volume fraction variation of the γ" phase, the hardness distribution in the annealed surface layer and this layer's thickness were calculated. The predicted applicable laser process parameter ranges were obtained. These calculated results were compared with their corresponding experimental results. The good agreements between the calculated and measured results suggested that this numerical prediction approach is feasible for engineer applications.
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时效Inconel 718激光表面退火技术
采用激光对时效Inconel 718进行了表面薄层退火,使强化相γ′′溶解。通过激光表面退火(LSA)工艺,提高了合金的抗氢脆性能。为了建立一种工程应用的通用LSA技术,进行了激光工艺参数对退火表面层形成的影响的实验研究,得到了适用的工艺参数范围。在此基础上,提出了一种预测激光退火表面层形成的数值方法。由于在LSA过程中只溶解了γ”相,因此通过热循环实验研究了该相的溶解动力学,并证明其遵循Avrami方程。采用有限元法模拟计算了各激光退火面层的热分布,并提取了每一深度的热历史数据。根据推导出的Avrami方程,利用这些热历史数据计算了这些深度的γ”相的体积分数。根据合金硬度变化与γ”相体积分数变化之间的关系,计算了退火面层的硬度分布及其厚度。得到了预测的适用激光工艺参数范围。将计算结果与相应的实验结果进行了比较。计算结果与实测结果吻合较好,表明该数值预测方法在工程应用中是可行的。
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