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Review: Materials Ecosystem for Additive Manufacturing Powder Bed Fusion Processes

机译:综述:材料生态系统适用于粉末床融合工艺

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摘要

Additive manufacturing technologies are revolutionizing modern component design across many industries, while leading to an evolution in materials science and engineering. Understanding and controlling the materials ecosystem in additive manufacturing is an essential factor for successful adoption. The relationships among materials chemistry, powder characteristics, processes and final part performance are key and crucial concepts in additive manufacturing technologies. Powder bed fusion (PBF) processes including laser and electron beam melting processes are fundamentally based on controlling the solid-to-liquid and liquid-to-solid phase transformations in each process layer. The powder characteristics, evolution of the microstructure through the additive manufacturing process and subsequent metallurgical post-processing are primarily responsible for material performance. A more comprehensive understanding of aspects such as powder characteristics, liquid- and solid-phase transformations, and the effects of repeated thermal cycling on metallurgical structure development will be required to effectively apply a design-for-additive approach. Numerical modeling and machine learning are among tools that can be used for developing such understanding. This article will provide a review and summary of the materials ecosystem for additive manufacturing powder bed fusion processes.
机译:添加剂制造技术正在彻底改变许多行业的现代部件设计,同时导致材料科学与工程的演变。理解和控制添加剂制造中的材料生态系统是成功采用的必要因素。材料化学,粉末特征,过程和最终部位性能之间的关系是添加剂制造技术的关键和关键概念。包括激光和电子束熔化过程的粉床融合(PBF)工艺基本基于控制每个工艺层中的固体和液相相变。粉末特性,通过添加剂制造工艺和随后的冶金后处理的微观结构的演化主要负责材料性能。对粉末特征,液相和固相转化等方面的更全面的理解,以及重复热循环对冶金结构开发的影响,将有效地应用一种换药方法。数值建模和机器学习是可用于开发这种理解的工具中。本文将提供用于添加制造粉末床融合过程的材料生态系统的审查和摘要。

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