The precipitation of a recently introduced γ′-strengthened, Powder Metallurgy (PM) nickel superalloy is characterized and modeled. A range of experimental techniques are employed to capture aspects of the alloy microstructure necessary to calibrate a supersolvus, continuous cooling precipitation model. The proposed precipitation model framework incorporates a computationally efficient addition to the classical mean-field modeling approach that increases its ability to model dynamic, multi-modal γ′ burst events. The γ′ size predicted by the model shows good agreement with the experimental results spanning several orders of cooling rate magnitudes. The scalability of the modeling framework is then demonstrated in a quench trial on a diskette made from another PM nickel superalloy. The precipitation calculation is applied to the element integration points of a continuum Finite Element (FE) heat conduction simulation, where the latent heat generated from the precipitate evolution is accounted for. The results are compared to experimental findings using embedded thermocouple measurements and indicate that this approach is suitable for quantifying effects of γ′ precipitate evolution at the meso-scale and continuum length scales.

对最近推出的γ'强化粉末冶金 (PM) 镍高温合金的沉淀进行了表征和建模。一系列实验技术被用来捕捉校准超溶线、连续冷却沉淀模型所需的合金微观结构的各个方面。所提出的降水模型框架在经典平均场建模方法中加入了计算效率高的补充，提高了其对动态多模态γ'爆发事件进行建模的能力。该γ'模型预测的尺寸与跨越几个冷却速率数量级的实验结果非常吻合。然后在由另一种 PM 镍超级合金制成的磁盘上进行的淬火试验中证明了建模框架的可扩展性。沉淀计算应用于连续有限元 (FE) 热传导模拟的元素积分点，其中考虑了沉淀演化产生的潜热。将结果与使用嵌入式热电偶测量的实验结果进行比较，并表明这种方法适用于量化γ'沉淀物在中尺度和连续长度尺度上的演化影响。