Irtaza Razvi , Kareem Tawil , Chris Chunbin , David Trauernicht , Daniel Cormier , Zipeng Guo , Denis Cormier
{"title":"Multi-nozzle molten metal droplet jetting","authors":"Irtaza Razvi , Kareem Tawil , Chris Chunbin , David Trauernicht , Daniel Cormier , Zipeng Guo , Denis Cormier","doi":"10.1016/j.addlet.2026.100357","DOIUrl":"10.1016/j.addlet.2026.100357","url":null,"abstract":"<div><div>Molten metal droplet jetting (MMJ) is an emerging metal additive manufacturing (AM) technology that can use low-cost wire, rod, or even ingot feedstock material. This paper describes the architecture and preliminary implementation of what is believed to be among the first demonstrations of MMJ with a multi-nozzle array that is akin to inkjet printing using molten metal as the ink. A multi-nozzle printhead with a communal reservoir and three piezoelectric actuator pistons is presented. The drive waveforms for each nozzle are independently addressable, thus enabling precise control over drop placement for raster printing of arbitrary layer shapes. A jetting strategy is described in which variable track spacing is achieved by altering the yaw angle of the printhead. This yaw angle method allows printed row pitches that are less than or equal to the nozzle pitch. The printhead and build strategy are applied to demonstrate feasibility of the method with single and multi-layer test sample geometries. The influence of these initial results on future multi-nozzle systems is discussed.</div></div>","PeriodicalId":72068,"journal":{"name":"Additive manufacturing letters","volume":"17 ","pages":"Article 100357"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jingshan Liu , Ge Zhou , Wenjingzi Wang , Haoyu Zhang , Bingqian Jin , Lijia Chen , Xin Liu , Qi Shi , Ximin Zang
{"title":"Metal droplet breakup and rapid solidification behavior under multi-stage-controlled atomization process: NiTi alloys 3D printing special powder preparation","authors":"Jingshan Liu , Ge Zhou , Wenjingzi Wang , Haoyu Zhang , Bingqian Jin , Lijia Chen , Xin Liu , Qi Shi , Ximin Zang","doi":"10.1016/j.addlet.2026.100365","DOIUrl":"10.1016/j.addlet.2026.100365","url":null,"abstract":"<div><div>In view of the problem of coordinated control of powder particle size distribution and surface quality during the preparation process of NiTi shape memory alloy 3D printing special metal powder EIGA method, a novel multi-stage-controlled gas atomization method is presented in this study to address the coordinated control of powder particle size distribution and surface quality. The process experiment, comprehensive powder performance test, and characterization of composition and microstructure were carried out, along with the construction of a theoretical model and mechanism research of metal droplet breakup and rapid solidification under multi-field coupling control. The results show that for the breaking behavior of metal droplets, the multi-stage-controlled gas atomization method can maximize the surface energy of metal droplets, which is beneficial to droplet breaking. For the spheroidization and solidification behavior, under the multi-stage-controlled gas atomization pressure, by adjusting the heating power and the feed rate of the bar, the mismatch between the solidification and spheroidization behavior of the droplets can be effectively improved (Ф = t<sub>spheroidization</sub> / t<sub>solidification</sub> ≈ 1). The sphericity and surface quality of the powder are improved. The NiTi alloy powder prepared by this method retained its main elements. The maximum increments of O and N elements are 310 ppm and 70 ppm, and D<sub>90</sub> is 50.3 μm. The powder sphericity is good, significantly reducing the number of hollow and satellite powders. This method plays a vital role in improving the application of NiTi alloy powder in 3D printing.</div></div>","PeriodicalId":72068,"journal":{"name":"Additive manufacturing letters","volume":"17 ","pages":"Article 100365"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147384993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Garrett Campbell , Camden Chatham , Samantha J. (Lindholm) Knight , E. Cade Willis , Andrew P. Rhodes
{"title":"Enabling powder bed fusion (PBF) processing of polyether imide (PEI) through mixed-phase solvent processing","authors":"C. Garrett Campbell , Camden Chatham , Samantha J. (Lindholm) Knight , E. Cade Willis , Andrew P. Rhodes","doi":"10.1016/j.addlet.2026.100369","DOIUrl":"10.1016/j.addlet.2026.100369","url":null,"abstract":"<div><div>Polymeric material options for powder bed fusion (PBF) additive manufacturing (AM) techniques are typically limited to semicrystalline thermoplastics with large differences between their melting and recrystallization temperatures. Amorphous thermoplastics like polyetherimides (PEIs) are desired in certain applications but cannot be effectively processed by PBF due to their lack of crystallinity. Herein, we present a new solvent processing method which induces crystallinity in a particular grade of PEI, Ultem CRS5011, thus enabling its processing by these techniques. This new solvent treatment approach improves on others reported in the literature which either use carcinogenic solvents or yield solvent-soaked powders that are difficult to process in the 1–5 kg range suitable for bench-top units. In an initial scoping study, we identify acetophenone as a suitable non-hazardous solvent for this process which we then scale to the ∼kilogram scale. Finally, we demonstrate processability of this feedstock by PBF-LB/P using a bed temperature (T<sub>bed</sub>) well above the T<sub>g</sub> of this feedstock.</div></div>","PeriodicalId":72068,"journal":{"name":"Additive manufacturing letters","volume":"17 ","pages":"Article 100369"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tailoring columnar-to-equiaxed transition in additive manufacturing of Nickel-based superalloys via melt pool control: A theoretical study","authors":"Ting Zhang , Peiyu Zhang , Yucong Duan , Mengxiang Dang , Wenqian Zhang , Nuoer Ge","doi":"10.1016/j.addlet.2026.100377","DOIUrl":"10.1016/j.addlet.2026.100377","url":null,"abstract":"<div><div>Tailoring columnar-to-equiaxed transition (CET) in additive manufacturing (AM) or welding of nickel-based superalloys is critical for achieving target mechanical properties. However, maintaining the desired solidification pattern remains challenging due to the highly dynamic nature of the melt pool. This study introduces melt pool features as an intermediate dimension, establishing a “process–melt pool–structure” linkage for real-time monitoring and closed-loop control. Key features such as trailing-point temperature gradient, solidification rate, and width-to-length ratio are defined and correlated with processing parameters using a simple heat-conduction model. The concept of “similar melt pools” is proposed to clarify their effects on solidification conditions. Combined with the classical CET theory, the correlations between melt pool features and final solidification structures are quantified, identifying ranges for stable columnar or equiaxed growth and providing a theoretical basis for solidification control in AM processes.</div></div>","PeriodicalId":72068,"journal":{"name":"Additive manufacturing letters","volume":"17 ","pages":"Article 100377"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147706362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guoyuan Qiu , Yaning Tang , Jianjun Lin , Jeremy Heng Rao , Xing Gong , Changyong Liu , Zhangwei Chen , Chao Dong , Zhiyuan Liu
{"title":"Effect of TiN nanoparticle on shape memory properties of additively manufactured ferrous high entropy shape memory alloy","authors":"Guoyuan Qiu , Yaning Tang , Jianjun Lin , Jeremy Heng Rao , Xing Gong , Changyong Liu , Zhangwei Chen , Chao Dong , Zhiyuan Liu","doi":"10.1016/j.addlet.2026.100356","DOIUrl":"10.1016/j.addlet.2026.100356","url":null,"abstract":"<div><div>Emerging 4D printing is an innovative additive manufacturing (AM) technique that incorporates an extra dimension of time into AM. 4D printed objects can change their shapes or properties in response to external stimuli. However, the intrinsic microstructural anisotropy also affects the shape memory performance of AM printed shape memory alloys (SMAs). This work investigated the effect of TiN nanoparticle addition on the mechanical and shape-memory properties of a high entropy shape memory alloy (HESMA) Fe<sub>50</sub>Mn<sub>20</sub>Co<sub>10</sub>Cr<sub>10</sub>Si<sub>10</sub> (at.%) fabricated by laser powder bed fusion (LPBF). Results show that the TiN addition enhances the yield strength (YS) of the AM HESMA at the expense of ductility. Meanwhile, the as-built shape memory performance is reduced, with the maximum bending recovery strain of the vertical sample decreasing from 6.3 % to 4.7 %. Moreover, it is shown that introducing TiN nanoparticles can significantly alleviate the 4D-printing anisotropy. The YS anisotropy ratio is reduced from 40.0 % to 20.5 %, and the shape memory anisotropy ratio decreases from 56.3 % to 14.9 %. The underlying reason is attributed to a columnar-to-equiaxed microstructure transition induced by the TiN addition, which results in similar amount of grain boundaries during deformation in different directions. To restore the shape memory ability, the TiN/HESMA is subjected to further heat treatment. The maximum recovery strain is improved greatly and approaching that of HESMA matrix, and the shape memory anisotropy ratio further decreases to 3.4 %. The underlying mechanism of the heat treatment is revealed. The synergy of TiN addition and heat treatment provides a novel approach to balance strength enhancement and functional anisotropy of 4D printing</div></div>","PeriodicalId":72068,"journal":{"name":"Additive manufacturing letters","volume":"17 ","pages":"Article 100356"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joachim C.G. Eng , Louis N.S. Chiu , Aijun Huang , Bernard Rolfe , Wenyi Yan
{"title":"Linking process parameters to residual stress and distortion in directed energy deposition repair via machine learning and response surface methodology","authors":"Joachim C.G. Eng , Louis N.S. Chiu , Aijun Huang , Bernard Rolfe , Wenyi Yan","doi":"10.1016/j.addlet.2026.100370","DOIUrl":"10.1016/j.addlet.2026.100370","url":null,"abstract":"<div><div>Laser-directed energy deposition (L-DED) filling repair is often compromised by printing defects like cracking induced by excessive thermal residual stresses. Optimising process parameters is challenging, as complex thermal histories make trial-and-error costly and simulations computationally inefficient. To bridge this, a finite element (FE)-driven machine learning (ML) framework was developed to optimise multi-layer multi-track filling repair bulk quality. The methodology ensures consistent fill volume by enforcing nominal single-track dimensions. A thermomechanically validated FE model generated training data via design of experiment (DoE) strategies. Among evaluated algorithms, the multilayer perceptron (MLP) achieved superior accuracy (R<sup>2</sup> = 0.98, NRMSE = 2.7 %) as an efficient surrogate. Integrated response surface methodology (RSM) highlighted a critical trade-off, revealing moderate energy density as the optimal compromise for balancing residual stress and distortion. Furthermore, parameter influence analysis identified scan speed as the dominant control variable, closely followed by laser power and preheat temperature. Ultimately, this framework provides a robust and efficient tool for defining optimal process windows in <span>l</span>-DED filling repair.</div></div>","PeriodicalId":72068,"journal":{"name":"Additive manufacturing letters","volume":"17 ","pages":"Article 100370"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147384996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jesus Rivas , Cesar Terrazas , Hugo Estrada , Francisco Medina , James P. Carney
{"title":"Predicting porosity in laser powder bed fusion of metals (PBF-LB/M) using scanning data and machine learning","authors":"Jesus Rivas , Cesar Terrazas , Hugo Estrada , Francisco Medina , James P. Carney","doi":"10.1016/j.addlet.2026.100362","DOIUrl":"10.1016/j.addlet.2026.100362","url":null,"abstract":"<div><div>Laser powder bed fusion of metals (PBF-LB/M) remains prone to process-induced porosity, and practical tools that connect scan behavior to defect formation are still limited. In this study, we present a framework that predicts porosity from scan data acquired on a commercial PBF-LB/M system using an embedded high-speed scan acquisition device. The device records scanning position, time, and laser power at high temporal resolution, enabling reconstruction of layer-wise exposure paths that are normally inaccessible to users. From these data, we derive porosity-prone “hotspot” regions based on high linear energy input, energy input gradients, and deceleration or acceleration events along the scan path. Ground-truth porosity is obtained from X-ray Computed Tomography (XCT) of a compact qualification artifact containing multiple geometries, including lattice structures. Across the machine learning evaluated models, LSBoost provides the best overall performance when predicting total pore counts per layer with a Mean Absolute Error (MAE) ≈ 7.29. Prediction of larger pores with equivalent diameters greater than 0.100 mm was slightly more accurate (MAE = 4.747), indicating stronger correlation for critical part anomalies. However, porosity outliers tend to be underestimated, highlighting both the need for improved calibration and the benefit of additional in situ process signals that capture interactions with other process variables such as powder or gas flow. Overall, the results demonstrate that scan-derived hotspot features, combined with machine learning, are a viable basis for in situ identification and prediction of porosity-prone layers in PBF-LB/M.</div></div>","PeriodicalId":72068,"journal":{"name":"Additive manufacturing letters","volume":"17 ","pages":"Article 100362"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maria Zapata , Valérie Baco-Carles , Kateryna Kiryukhina , Philippe Tailhades
{"title":"Exploring AlSi12 powder size for laser powder bed fusion of multi-materials under oxygenated atmosphere","authors":"Maria Zapata , Valérie Baco-Carles , Kateryna Kiryukhina , Philippe Tailhades","doi":"10.1016/j.addlet.2026.100378","DOIUrl":"10.1016/j.addlet.2026.100378","url":null,"abstract":"<div><div>Although Powder Bed Fusion with Laser Beam (PBF-LB) is increasingly being used to produce functional components, the fabrication of integrated metal–ceramic multi-materials parts remains challenging. This study presents a single-powder PBF-LB strategy enabling the production of AlSi12/alumina multi-materials parts. The ceramic phase is generated in situ through localized oxidation, which is induced by a high surface energy density under oxygen partial pressure. This study aims to evaluate the influence of particle size on the manufacturing of multi-material parts. Two powders with identical composition but with different particle sizes (coarse and fine) were characterized in terms of their physicochemical properties and performance under processing conditions. The coarse powder exhibits the best fluidity and absorbency, indicating superior powder spreading and laser beam absorption. Conversely, the friction forces between particles related to the fine powder lower fluidity, result in increased resistance to ejection during high-energy-density conditions, which are necessary for forming ceramic zones. The results show that both powders can be processed without any chemical pretreatment and that new PBF-LB parameter windows enabling stable in situ oxidation, have been identified. The use of coarse powder improves surface roughness as well as a metal-ceramic interface with less porosity and defects. This highlights the advantages of coarse powder for manufacturing multi-material components. These findings demonstrate the feasibility of producing metal–ceramic architectures using a single aluminum alloy, without prior chemical treatment. The presence of both conductive metal regions and dielectric ceramic zones creates opportunities for the integration of multifunctional components into various advanced applications.</div></div>","PeriodicalId":72068,"journal":{"name":"Additive manufacturing letters","volume":"17 ","pages":"Article 100378"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147706363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jixuan Dong , Hasan Al Jame , Zachary C. Cordero , S. Mohadeseh Taheri-Mousavi
{"title":"Computational predictions of complex property trajectories in compositionally graded alloys","authors":"Jixuan Dong , Hasan Al Jame , Zachary C. Cordero , S. Mohadeseh Taheri-Mousavi","doi":"10.1016/j.addlet.2026.100359","DOIUrl":"10.1016/j.addlet.2026.100359","url":null,"abstract":"<div><div>Additive manufacturing enables net-shaped compositionally graded components that satisfy conflicting property requirements through spatial variations in alloy chemistry and microstructure. Although current path-planning methods for compositionally graded alloys emphasize avoiding deleterious phases, property evolution along compositional gradients is equally important because abrupt property changes can degrade structural integrity. In light of this concern, this study integrates high-throughput calculation of phase diagrams (CALPHAD)-based integrated computational materials science (ICME) simulations with variance-based global sensitivity analysis to introduce a framework for designing smoother property transitions. Thermophysical and mechanical properties along binary gradients between pairs of Inconel 718, Monel K-500, and Invar 36 were computed, revealing strongly nonlinear property transitions. Sensitivity analysis identified aluminum as a key driver of variability in thermal expansion coefficient along a transition, and this variability was reduced by tailoring the compositions in the terminal alloys. This framework can be used for similar identification and and tailoring of various property variability to achieve optimal component-level performance.</div></div>","PeriodicalId":72068,"journal":{"name":"Additive manufacturing letters","volume":"17 ","pages":"Article 100359"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michèle Bréhier , Daniel Weisz-Patrault , Christophe Tournier
{"title":"Continuous microstructure variations with graded properties in directed energy deposition","authors":"Michèle Bréhier , Daniel Weisz-Patrault , Christophe Tournier","doi":"10.1016/j.addlet.2026.100372","DOIUrl":"10.1016/j.addlet.2026.100372","url":null,"abstract":"<div><div>Directed energy deposition additive manufacturing is a versatile technique for fabricating complex geometries, where precise control of process parameters is crucial for tailoring microstructure and part properties. Microstructure control strategies usually involve variation of material composition (i.e., functionally graded materials) or interlayer time delay. However, the obtained microstructures are usually uniform in the print direction and exhibit sharp transitions from one layer to the next in the build direction. This paper targets continuous microstructural variation by exploiting active cooling strategies to control cooling conditions. To do so, the scanning speed is continuously varied, necessitating accommodating the bead size variations with non-standard trajectory generation based on a phenomenological law. The proposed strategy is demonstrated on thin-wall structures made of IN718 using a powder-based laser directed energy deposition. The results reveal a continuous microstructural transition along the print direction, characterized by two distinct microstructural regimes with markedly different morphological features and crystallographic textures. This demonstrates the capability of scanning speed modulation to engineer heterogeneous microstructures within a single component, offering insights into tailoring material properties for specific engineering applications.</div></div>","PeriodicalId":72068,"journal":{"name":"Additive manufacturing letters","volume":"17 ","pages":"Article 100372"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}