In-situ experimental and high-fidelity modeling tools to advance understanding of metal additive manufacturing

材料科学 微观结构 瓶颈 机械工程 残余应力 灵活性(工程) 延展性(地球科学) 纳米技术 工艺工程 计算机科学 冶金 工程类 统计 蠕动 数学 嵌入式系统
作者
Lu Wang,Qilin Guo,Lianyi Chen,Wentao Yan
出处
期刊:International Journal of Machine Tools & Manufacture [Elsevier BV]
卷期号:193: 104077-104077 被引量:58
标识
DOI:10.1016/j.ijmachtools.2023.104077
摘要

Metal additive manufacturing has seen extensive research and rapidly growing applications for its high precision, efficiency, flexibility, etc. However, the appealing advantages are still far from being fully exploited, and the bottleneck problems essentially originate from the incomplete understanding of the complex physical mechanisms spanning from the manufacturing processes, microstructure evolutions, to mechanical properties. Specifically, for powder-fusion-based additive manufacturing such as laser powder bed fusion, the manufacturing process involves powder dynamics, heat transfer, phase transitions (melting, solidification, evaporation, and condensation), fluid flow (gas, vapor, and molten metal liquid), and their interactions. These interactions induce not only various defects but also complex thermal-mechanical-compositional conditions. These transient conditions lead to highly non-equilibrium microstructure evolutions, and the resultant microstructures, together with those defects, can significantly alter the mechanical properties of the as-built parts, including strength, ductility and residual stress. We believe that the most efficient approach to advance the fundamental understanding is integrating in-situ experimentation and high-fidelity modelling. In this review, we summarize the state of the art of these two powerful tools: in-situ synchrotron experimentation and high-fidelity modelling, and provide an outlook for potential research directions.
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