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首页> 外文期刊>Integrating Materials and Manufacturing Innovation >Predicting Precipitation Kinetics During the Annealing of Additive Manufactured Inconel 625 Components
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Predicting Precipitation Kinetics During the Annealing of Additive Manufactured Inconel 625 Components

机译:预测制造的Inconel 625组件退火过程中的沉淀动力学

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The prediction of solidification microstructures associated with additive manufacture of metallic components is fundamental in the identification scanning strategies, process parameters and subsequent heat treatments for optimised component properties. Interactions between the powder particles and the laser heat source result in complex thermal fields in and around the metal melt pool, which will influence the spatial distribution of chemical species as well as solid-state precipitation reactions. This paper demonstrates that a multi-component, multi-phase precipitation model can successfully predict the observed precipitation kinetics in Inconel 625, capturing the anomalous precipitation behaviour exhibited in additively manufactured components. A computer coupling of phase diagrams and thermochemistry (CALPHAD)-based approach captures the impact of dendritic segregation of alloying elements upon precipitation behaviour. The model was successful in capturing the precipitation kinetics during annealing considering the Nb-rich and Nb-depleted regions that are formed during additive manufacturing.
机译:与金属零件的增材制造相关的凝固微观结构的预测对于识别扫描策略,工艺参数和后续热处理以优化零件性能至关重要。粉末颗粒与激光热源之间的相互作用会导致金属熔池内部及其周围的复杂热场,这将影响化学物质的空间分布以及固态沉淀反应。本文证明,多组分,多相沉淀模型可以成功预测Inconel 625中观察到的沉淀动力学,捕获添加制造的组分中表现出的异常沉淀行为。基于计算机的相图与热化学(CALPHAD)耦合方法可捕获合金元素的树枝状偏析对析出行为的影响。考虑到增材制造过程中形成的富Nb和Nb耗尽区,该模型成功地捕获了退火过程中的沉淀动力学。

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