Quality Control: Internal Defects Formation Mechanism of Selective Laser Melting Based on Laser-powder-melt Pool Interaction: A Review

Guang Yang , Yilian Xie , Shuo Zhao , Lanyun Qin , Xiangming Wang , Bin Wu
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引用次数: 17

Abstract

Selective laser melting (SLM) is a 3D printing technology with a high near-net-shape ability and forming accuracy. However, the inevitable internal defects significantly hinder its development. Therefore, it is essential to fully understand the causes of internal defects in SLM processing and minimize the defects to achieve quality control accordingly. This work reviews the recent studies on internal defects in SLM, presenting the main internal defects of SLM as impurities, lack of fusion, gas pores, and micro-crack. These internal defects occur on the various phenomena in the laser-powder-melt pool (LPMP) stage. The formation of SLM internal defects is mainly affected by oxidation, denudation, balling, spatter, and keyholes; here, balling, spattering, and the keyhole phenomenon are the main factors causing internal defects in LPMP. Hence, this paper focuses on reviewing the balling effect, spatter behavior, and keyhole phenomenon, introducing the action mechanism of the above three phenomena under different process conditions. Additionally, the spatter behavior when forming internal defects is proposed. This review also considers the correlation between the spatter behavior and keyhole phenomenon and makes an important contribution to understanding and reducing SLM internal defects. It presents a reliable opinion on real-time monitoring and machine intelligent learning for SLM processing in the future, as well as supporting a systematic thinking for the suppression of defect formation in SLM.

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质量控制:基于激光-粉末-熔池相互作用的选择性激光熔化内部缺陷形成机制综述
选择性激光熔化(SLM)是一种具有高近净成形能力和成形精度的3D打印技术。然而,不可避免的内部缺陷严重阻碍了其发展。因此,充分了解SLM加工内部缺陷产生的原因,并将缺陷最小化,从而实现质量控制至关重要。本文综述了近年来关于SLM内部缺陷的研究,指出SLM内部缺陷主要有杂质、不融合、气孔和微裂纹。这些内部缺陷出现在激光粉末熔池(lmpp)阶段的各种现象中。SLM内部缺陷的形成主要受氧化、剥蚀、成球、飞溅和锁孔的影响;在这里,球化、飞溅和锁孔现象是造成LPMP内部缺陷的主要因素。因此,本文重点综述了成球效应、飞溅行为和锁孔现象,并介绍了在不同工艺条件下上述三种现象的作用机理。此外,还提出了内部缺陷形成时的飞溅行为。本文还讨论了溅射行为与锁孔现象之间的关系,为理解和减少SLM内部缺陷做出了重要贡献。为未来SLM加工的实时监控和机器智能学习提供了可靠的意见,并为SLM中缺陷形成的抑制提供了系统的思路。
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