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An integrated hybrid wire-arc directed energy deposition, friction stir processing, and milling system for multi-track, multi-layer part manufacturing 用于多轨道、多层零件制造的线弧定向能沉积、摩擦搅拌加工和铣削综合混合系统
IF 4.2 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-10-11 DOI: 10.1016/j.addlet.2024.100247
Dinh Son Nguyen , Jie Song , Yao Fu , Albert C. To
Wire-based Directed Energy Deposition (DED) is a widely-used manufacturing method due to its high productivity and large part fabrication capability. Meanwhile, Friction Stir Processing (FSP) is a solid-state joining process that can modify microstructure and weld lightweight alloys. Additionally, wire-based DED printed parts need machining process to achieve the desired dimensional accuracy. To take advantage of all these three processes, this work proposes an integrated hybrid system by combining the wire-arc DED, FSP, and milling processes into a standalone system which can fabricate superior materials in a multi-track, multi-layer manner for the first time. The integrated system can improve dimensional accuracy and productivity by processing the workpiece without the need to move it between different systems. It is demonstrated that a 150 × 40 × 21 mm3 block of aluminum alloy AA5183 can be fabricated using the hybrid wire-DED/FSP/milling process from wire feedstock. Material characterization shows that the hybrid process is able to refine the grain size by two orders of magnitude to sub-micron scale, while eliminating all the pores and microcracks produced by the DED process. These enhancements result in significantly improved mechanical properties including Young's modulus (15 %), yield strength (161 %), ultimate strength (33 %), and hardness (55 %) without compromising ductility.
线基定向能沉积(DED)因其高生产率和大部件制造能力而成为一种广泛使用的制造方法。同时,摩擦搅拌加工(FSP)是一种固态连接工艺,可以改变微观结构并焊接轻质合金。此外,基于线材的 DED 印刷部件需要加工工艺来达到所需的尺寸精度。为了充分利用这三种工艺的优势,这项研究提出了一种集成混合系统,它将线弧 DED、FSP 和铣削工艺结合到一个独立的系统中,首次实现了以多轨道、多层次的方式制造优质材料。该集成系统无需在不同系统之间移动工件,即可进行加工,从而提高了尺寸精度和生产率。实验证明,使用线材-DED/FSP/铣削混合工艺,可以用线材原料制造出 150 × 40 × 21 mm3 的铝合金 AA5183 块。材料表征表明,混合工艺能将晶粒尺寸细化两个数量级,达到亚微米级,同时消除了 DED 工艺产生的所有孔隙和微裂纹。这些改进大大提高了机械性能,包括杨氏模量(15%)、屈服强度(161%)、极限强度(33%)和硬度(55%),同时不影响延展性。
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引用次数: 0
Effect of laser power during laser powder bed fusion on microstructure of joining interface between Tungsten and AISI 316L steel 激光粉末床熔融过程中的激光功率对钨和 AISI 316L 钢连接界面微观结构的影响
IF 4.2 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-10-09 DOI: 10.1016/j.addlet.2024.100246
Seung-Hoon Lee , Ji-Hoe Koo , Omer Cakmak , Jung-Wook Cho
This study investigates the deposition of tungsten (W) onto a 316L steel substrate by laser powder bed fusion (L-PBF), to optimize process parameters and analyze the interface between W and 316L. To obtain high-density W structure (98.89%), the optimal laser power was 350 W, and scan speed was 500 mm/s, but these parameters cause significant dilution of W in the W-316L interface; as a result, Fe7W6 intermetallics form, despite L-PBF being a non-equilibrium solidification process. These intermetallics which are brittle could degrade joint strength. By reducing laser power below 250 W, the dilution of W can be mitigated, and potentially minimize formation of intermetallics and increase joint stability for advanced manufacturing applications.
本研究采用激光粉末床熔融(L-PBF)技术在 316L 钢基底上沉积钨(W),以优化工艺参数并分析 W 与 316L 之间的界面。为获得高密度的钨结构(98.89%),最佳激光功率为 350 W,扫描速度为 500 mm/s,但这些参数会导致 W-316L 界面中的钨被大量稀释;结果,尽管 L-PBF 是一种非平衡凝固过程,但仍形成了 Fe7W6 金属间化合物。这些金属间化合物很脆,会降低连接强度。通过将激光功率降至 250 W 以下,可减轻 W 的稀释,并有可能最大限度地减少金属间化合物的形成,提高先进制造应用中的接合稳定性。
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引用次数: 0
Preparation of continuous carbon fiber reinforced PA6 prepreg filaments with high fiber volume fraction 制备高纤维体积分数的连续碳纤维增强 PA6 预浸丝
IF 4.2 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-10-02 DOI: 10.1016/j.addlet.2024.100245
Ming Zhang , Zhonggang Sun , Yingbing Liang , Yanhua Guo , Guoqing Dai , Keyuan Wei , Ming Li , Xiping Li , Igor V. Alexandrov
High-performance continuous carbon fiber prepreg filaments have been a research hotspot in the field of additive manufacturing in recent years, and are considered to be an effective option for improving the mechanical strength of thermoplastic composite parts. However, the effect of fiber volume fraction on the microstructure and tensile properties of 3D printed prepreg filaments remains miss. Therefore, this study selected suitable impregnation processes and materials to prepare prepreg filaments with different fiber volume fraction and investigated their mechanical properties and microscopic morphologies. The results show that the increase of fiber volume fraction effectively promoted the interface bonding between fiber and resin, and increased capacity for load transfer. When the fiber volume fraction was 54.0 %, the tensile strength of the prepreg filaments and specimens reached 1977 MPa and 334 MPa, respectively. This study can provide a process optimization strategy for the preparation of more types of continuous fiber prepreg filaments with high fiber volume fraction, as well as a data reference for the preparation of high-performance 3D-printed thermoplastic composites.
高性能连续碳纤维预浸丝是近年来增材制造领域的研究热点,被认为是提高热塑性复合材料部件机械强度的有效选择。然而,纤维体积分数对三维打印预浸料长丝的微观结构和拉伸性能的影响仍然是个未知数。因此,本研究选择了合适的浸渍工艺和材料来制备不同纤维体积分数的预浸丝,并研究了它们的力学性能和微观形态。结果表明,纤维体积分数的增加能有效促进纤维与树脂之间的界面粘合,提高载荷传递能力。当纤维体积分数为 54.0 % 时,预浸丝和试样的拉伸强度分别达到 1977 兆帕和 334 兆帕。该研究为制备更多类型的高纤维体积分数连续纤维预浸长丝提供了工艺优化策略,也为制备高性能三维打印热塑性复合材料提供了数据参考。
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引用次数: 0
Deep learning for melt pool depth contour prediction from surface thermal images via vision transformers 通过视觉转换器进行深度学习,从表面热图像预测熔池深度轮廓
IF 4.2 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-09-29 DOI: 10.1016/j.addlet.2024.100243
Francis Ogoke , Peter Pak , Alexander Myers , Guadalupe Quirarte , Jack Beuth , Jonathan Malen , Amir Barati Farimani
Anomalous melt pools during metal additive manufacturing (AM) can lead to deteriorated mechanical and fatigue performance. In-situ monitoring of the melt pool subsurface morphology requires specialized equipment that may not be readily accessible or scalable. Therefore, we introduce a machine learning framework to correlate in-situ two-color thermal images observed via high-speed color imaging to the two-dimensional profile of the melt pool cross-section. We employ a hybrid CNN-Transformer architecture to establish a correlation between single bead off-axis thermal image sequences and melt pool cross-section contours measured via optical microscopy. Specifically, a ResNet model embeds the spatial information contained within the thermal images to a latent vector, while a Transformer model correlates the sequence of embedded vectors to extract temporal information. The performance of this model is evaluated through dimensional and geometric comparisons to the corresponding experimental no-powder melt pool observations. Our framework is able to model the curvature of the subsurface melt pool structure, with improved performance in high energy density regimes compared to analytical models. Additionally, the use of ratiometric temperature estimates improves the accuracy of the model predictions compared to monochromatic imaging. This work establishes a framework extensible towards powder-based AM builds.
金属增材制造(AM)过程中的异常熔池会导致机械和疲劳性能下降。对熔池次表层形态进行原位监测需要专业设备,而这些设备可能不易获得或无法扩展。因此,我们引入了一个机器学习框架,将通过高速彩色成像观察到的原位双色热图像与熔池横截面的二维剖面图关联起来。我们采用混合 CNN-Transformer 架构,在单珠离轴热图像序列和通过光学显微镜测量的熔池横截面轮廓之间建立关联。具体来说,ResNet 模型将热图像中包含的空间信息嵌入潜在向量,而 Transformer 模型则将嵌入向量的序列关联起来,以提取时间信息。通过与相应的无粉熔池实验观测数据进行维度和几何比较,对该模型的性能进行了评估。我们的框架能够模拟地表下熔池结构的曲率,与分析模型相比,在高能量密度情况下性能更佳。此外,与单色成像相比,使用比率温度估算提高了模型预测的准确性。这项工作建立了一个框架,可扩展到基于粉末的 AM 制造。
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引用次数: 0
Effect of laser parameters and shielding gas flow on co-axial photodiode-based melt pool monitoring signals in laser powder bed fusion 激光参数和屏蔽气体流量对激光粉末床熔融中基于同轴光电二极管的熔池监测信号的影响
IF 4.2 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-09-19 DOI: 10.1016/j.addlet.2024.100244
Joni Reijonen
Melt pool monitoring using co-axial photodiodes is increasingly used for online quality monitoring in PBF-LB AM. However, the fundamental correlations between different processing conditions and the co-axial photodiode signals are not well understood. In this study the impact of laser parameters and the shielding gas flow speed on co-axial photodiode-based melt pool monitoring signals is established. It is shown that laser power has positive linear correlation with the photodiode signal, while the correlation with scanning speed is non-linear in the form of y=ax–b. The focal point position, scanning orientation and shielding gas flow speed have highly non-linear response on the photodiode signal, depending on the combinatorial effects of the parameters. These underlying physical correlations should be carefully assessed and taken into consideration when trying to establish correlations between photodiode-based melt pool monitoring signal and defect formation in the PBF-LB process.
在 PBF-LB AM 的在线质量监测中,越来越多地使用同轴光电二极管进行熔池监测。然而,人们对不同加工条件与同轴光电二极管信号之间的基本关联还不甚了解。本研究确定了激光参数和保护气体流速对基于同轴光电二极管的熔池监测信号的影响。研究表明,激光功率与光电二极管信号呈正线性关系,而与扫描速度的关系则呈 y=ax-b 的非线性关系。焦点位置、扫描方向和屏蔽气体流速对光电二极管信号具有高度非线性响应,这取决于参数的组合效应。在尝试建立基于光电二极管的熔池监测信号与 PBF-LB 工艺中缺陷形成之间的相关性时,应仔细评估和考虑这些潜在的物理相关性。
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引用次数: 0
Additively manufactured Nb-Ti-Si based alloy: As-built and heat-treated conditions 以铌钛硅为基础的添加式制造合金:坯料和热处理条件
IF 4.2 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-09-17 DOI: 10.1016/j.addlet.2024.100242
Runqi Gao , Hui Peng , Hongbo Guo , Bo Chen

This work aims to fully characterise the Nb-Ti-Si based alloy (Nb-26Ti-16Si-2.2Al-2Cr), processed by the electron-beam powder-bed-fusion in both as-built and heat-treated conditions, to elucidate the microstructure-property relationships. The as-built condition has [001]-oriented columnar grains of the Nb3Si phase with the Nbss phase dispersed throughout the microstructure. The microhardness is 645.2 ± 6.7 HV0.5, and the indentation fracture toughness shows distinct directionality: 7.7 MPa·m1/2 in the horizontal direction compared to 5.3 MPa·m1/2 in the vertical direction. Both properties are comparable to the cast version. The directionality is attributed to the underlying mechanisms such as crack bridging, arrest, and micro-crack formation. By contrast, in the heat-treated condition, the alloy exhibits a dual-phase microstructure (Nbss and Nb5Si3 phases) with near-equiaxed grain shape due to the Nb3Si phase decomposition. The fracture toughness increases to 12.1 MPa·m1/2, at the expense of a reduced microhardness of 564.4 ± 15.0 HV0.5.

本研究旨在全面描述通过电子束粉末床熔融技术加工的铌钛硅基合金(Nb-26Ti-16Si-2.2Al-2Cr)在坯料和热处理两种条件下的特性,以阐明其微观结构与性能之间的关系。在坯料状态下,Nb3Si 相具有[001]取向的柱状晶粒,Nbss 相分散在整个微观结构中。显微硬度为 645.2 ± 6.7 HV0.5,压痕断裂韧性具有明显的方向性:水平方向为 7.7 MPa-m1/2,垂直方向为 5.3 MPa-m1/2。这两项性能都与铸件相当。这种方向性归因于裂纹桥接、停滞和微裂纹形成等基本机制。相比之下,在热处理状态下,由于 Nb3Si 相分解,合金呈现出双相微观结构(Nbss 和 Nb5Si3 相),晶粒形状接近等轴。断裂韧性增加到 12.1 MPa-m1/2,但显微硬度却降低到 564.4 ± 15.0 HV0.5。
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引用次数: 0
Jet on demand—A pneumatically driven molten metal jetting method for printing crack-free aluminum components 按需喷射--用于打印无裂纹铝制部件的气动驱动熔融金属喷射方法
IF 4.2 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-09-17 DOI: 10.1016/j.addlet.2024.100240
Eric S. Elton, Kellen D. Traxel, Andrew J. Pascall, Jason R. Jeffries
Additive manufacturing (AM) of many traditional aluminum alloys is difficult due to hot cracking during cooling, which motivates investigating alternative AM methods that can mitigate this challenge. Here we demonstrate a new pneumatically driven molten metal jetting (MMJ) AM technique which uses a longer pressure pulse width to produce a jet of liquid metal that reaches the heated build plate. The “jet on demand” technique is utilized to build Al-6061 parts on heated build plates. Due to the large thermal mass contained in each jet, excellent adhesion is observed between droplets and layers while still maintaining dimensional control to produce parts with high relative densities (>98%). While as-printed parts exhibit different microstructure and hardness than traditional Al-6061, both microstructure and hardness are restored to traditionally processed values through a traditional T6 heat treatment. Microhardness values of 104 HV were obtained for printed Al-6061, which compares well to wrought properties. We observe that high build plate temperatures allow for lower solidification rates and eliminate hot cracking. These results point to a method for additively manufacturing traditional aluminum or other alloys that cannot currently be additively manufactured due to hot cracking.
由于冷却过程中的热裂纹,许多传统铝合金的增材制造(AM)都很困难,这促使我们研究能够减轻这一挑战的替代性增材制造方法。在这里,我们展示了一种新型气动驱动熔融金属喷射(MMJ)AM 技术,该技术使用较长的压力脉冲宽度产生液态金属喷流,喷射到加热的构建板上。这种 "按需喷射 "技术用于在加热的构建板上构建 Al-6061 零件。由于每次喷射都含有大量热量,因此液滴和层之间的附着力极佳,同时还能保持尺寸控制,从而生产出相对密度高(98%)的零件。虽然压印零件的显微结构和硬度与传统的 Al-6061 不同,但通过传统的 T6 热处理,显微结构和硬度都恢复到了传统的加工值。印刷后的 Al-6061 的显微硬度值为 104 HV,与锻造后的性能相当。我们观察到,较高的印制板温度可降低凝固速率并消除热裂纹。这些结果表明,这种方法适用于传统铝材或其他因热裂纹而无法进行添加式制造的合金。
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引用次数: 0
Deep learning based automated quantification of powders used in additive manufacturing 基于深度学习的增材制造所用粉末自动定量分析
IF 4.2 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-09-14 DOI: 10.1016/j.addlet.2024.100241
K.V. Mani Krishna , A. Anantatamukala , Narendra B. Dahotre

This study proposes a novel deep learning technique for efficient powder morphology characterization, crucial for successful additive manufacturing. The method segments powder particles in microscopy images using Pix2Pix image translation model, enabling precise quantification of size distribution and extraction of critical morphology parameters like circularity and aspect ratio. The proposed approach achieves high accuracy (Structural Similarity Index of 0.8) and closely matches established methods like laser diffraction in measuring particle size distribution (within a deviation of ∼7 %) and allows determination of additional particle attributes of aspect ratio and circualarity in a reliable, repeated, and automated way. These findings highlight the potential of deep learning for automated powder characterization, offering significant benefits for optimizing additive manufacturing processes.

本研究提出了一种新颖的深度学习技术,用于高效的粉末形态表征,这对成功的增材制造至关重要。该方法使用 Pix2Pix 图像转换模型对显微镜图像中的粉末颗粒进行分割,从而能够精确量化粒度分布并提取圆度和长宽比等关键形态参数。所提出的方法实现了高精度(结构相似度指数为 0.8),在测量粒度分布方面与激光衍射等成熟方法非常接近(偏差在 ∼ 7 % 范围内),并能以可靠、重复和自动化的方式确定长宽比和圆度等其他颗粒属性。这些发现凸显了深度学习在自动粉末表征方面的潜力,为优化增材制造工艺提供了显著优势。
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引用次数: 0
In-situ characterization of defect formation and elimination dynamics during electron beam melting using high-speed X-ray imaging 利用高速 X 射线成像对电子束熔化过程中的缺陷形成和消除动态进行现场表征
IF 4.2 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-09-05 DOI: 10.1016/j.addlet.2024.100239
Jiandong Yuan , Luis I. Escano , Samuel J. Clark , Junye Huang , Ali Nabaa , Qilin Guo , Minglei Qu , Kamel Fezzaa , Lianyi Chen

Electron beam melting (EBM), also known as electron beam powder bed fusion (EB-PBF), is a metal additive manufacturing (AM) technology that can make metal parts that are difficult, inefficient, or unachievable through conventional manufacturing routes and other AM technologies. However, a comprehensive understanding of the dynamics of electron beam-matter interactions in EBM remains elusive, which is a barrier for the development and adoption of EBM technology. Here, we report the dynamics and mechanisms of pore formation, pore elimination, and crack elimination in EBM. Three mechanisms of pore formation are observed: (1) pore formation from feedstock powders, (2) pore formation from pre-existing defects, and (3) pore captured by solidification front. One pore elimination mechanism is discovered: pore elimination due to metal vapor condensation, which is unique to EBM. One crack elimination mechanism is uncovered: crack elimination through remelting. These results will enhance the understanding of defect formation and evolution mechanisms in EBM and may inspire the invention of effective approaches to mitigate and control defects (porosity and cracks) in EBM.

电子束熔融(EBM),又称电子束粉末床熔融(EB-PBF),是一种金属增材制造(AM)技术,可以制造出通过传统制造途径和其他AM技术难以实现、效率低下或无法制造的金属零件。然而,对 EBM 中电子束与物质相互作用动力学的全面了解仍然遥遥无期,这对 EBM 技术的开发和应用构成了障碍。在此,我们报告了 EBM 中孔隙形成、孔隙消除和裂纹消除的动力学和机制。我们观察到孔隙形成的三种机制:(1) 原料粉末形成孔隙;(2) 预先存在的缺陷形成孔隙;(3) 凝固前沿捕获孔隙。发现了一种孔隙消除机制:金属蒸汽冷凝导致的孔隙消除,这是 EBM 独有的机制。发现了一种裂纹消除机制:通过重熔消除裂纹。这些结果将加深人们对 EBM 中缺陷形成和演变机制的理解,并可能启发人们发明有效的方法来减轻和控制 EBM 中的缺陷(孔隙率和裂纹)。
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引用次数: 0
Laser additive manufacturing of a carbon-supersaturated β-Ti alloy for biomaterial application 用于生物材料应用的碳过饱和 β-Ti 合金激光快速成型技术
IF 4.2 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-09-04 DOI: 10.1016/j.addlet.2024.100233
Mingqi Dong , Yu Zhang , Weiwei Zhou , Peng Chen , Zhenxing Zhou , Hiroyasu Kanetaka , Takuya Ishimoto , Yuichiro Koizumi , Takayoshi Nakano , Naoyuki Nomura

Developing high-performance β-Ti alloys is a persistent and long-term demand for the advancement of next-generation biomaterials. In this study, a strategy of leveraging the unique characteristics of laser powder bed fusion (L-PBF) technique and nanocarbon materials was proposed to design a novel carbon-supersaturated β-Ti alloy. Ultrathin graphene oxide (GO) sheets were closely covering onto spherical Ti-15Mo-5Zr-3Al (Ti1553) powders, enhancing laser absorptivity while maintaining good flowability. Consequently, the GO-added Ti1553 builds tended to be denser than the initial ones, indicating an improved additive manufacturability. During L-PBF, GO sheets were completely dissolved into the Ti1553 matrix, generating fully carbon-supersaturated β-Ti structures with a reduced grain size. Thanks to the exceptional strengthening effects of high-concentration solid-solution carbon (∼0.05 wt%), the GO/Ti1553 builds achieved a high ultimate tensile strength of 1166 MPa. Moreover, as revealed by the immunofluorescence staining experiments, the GO/Ti1553 builds demonstrated a retained cytocompatibility. This study provides new insight into composition and processing design of high-performance Ti components for biomedical applications.

开发高性能的β-钛合金是下一代生物材料发展的长期需求。本研究提出了一种利用激光粉末床熔融(L-PBF)技术和纳米碳材料的独特特性来设计新型碳过饱和β-钛合金的策略。超薄氧化石墨烯(GO)薄片被紧密覆盖在球形 Ti-15Mo-5Zr-3Al (Ti1553)粉末上,在保持良好流动性的同时提高了激光吸收率。因此,添加了 GO 的 Ti1553 构件往往比初始构件更致密,这表明添加剂的可制造性得到了改善。在 L-PBF 过程中,GO 片完全溶解到 Ti1553 基体中,生成了晶粒尺寸减小的全碳过饱和 β-Ti 结构。得益于高浓度固溶碳(0.05 wt%)的特殊强化效果,GO/Ti1553 构建物的极限拉伸强度高达 1166 兆帕。此外,免疫荧光染色实验表明,GO/Ti1553 构建材料具有良好的细胞相容性。这项研究为生物医学应用中高性能钛成分的组成和加工设计提供了新的视角。
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引用次数: 0
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Additive manufacturing letters
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