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Microstructure and Mechanical Properties of Laser Powder Bed Fusion 3D-Printed Cu-10Sn Alloy
Jonggyu Kim, Junghoon Won, Wookjin Lee
J Powder Mater. 2024;31(5):422-430.   Published online October 31, 2024
DOI: https://doi.org/10.4150/jpm.2024.00276
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This study investigated the optimal process conditions and mechanical properties of Cu-10Sn alloys produced by the powder bed fusion (PBF) method. The optimal PBF conditions were explored by producing samples with various laser scanning speeds and laser power. It was found that under optimized conditions, samples with a density close to the theoretical density could be fabricated using PBF without any serious defects. The microstructure and mechanical properties of samples produced under optimized conditions were investigated and compared with a commercial alloy produced by the conventional method. The hardness, maximum tensile strength, and elongation of the samples were significantly higher than those of the commercially available cast alloy with the same chemical composition. Based on these results, it is expected to be possible to use the PBF technique to manufacture Cu-10Sn products with complex 3D shapes that could not be made using the conventional manufacturing method.
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Microstructural Effects on the Mechanical Properties of Ti-6Al-4V Fabricated by Direct Energy Deposition
Juho Kim, Seoyeon Jeon, Hwajin Park, Taeyoel Kim, Hyunjoo Choi
J Powder Mater. 2024;31(4):302-307.   Published online August 30, 2024
DOI: https://doi.org/10.4150/jpm.2024.00157
  • 234 View
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This study explored the process-structure-property (PSP) relationships in Ti-6Al-4V alloys fabricated through direct energy deposition (DED) additive manufacturing. A systematic investigation was conducted to clarify how process variables—specifically, manipulating the cooling rate and energy input by adjusting the laser power and scan speed during the DED process—influenced the phase fractions, pore structures, and the resultant mechanical properties of the samples under various processing conditions. Significant links were found between the controlled process parameters and the structural and mechanical characteristics of the produced alloys. The findings of this research provide foundational knowledge that will drive the development of more effective and precise control strategies in additive manufacturing, thereby improving the performance and reliability of produced materials. This, in turn, promises to make significant contributions to both the advancement of additive manufacturing technologies and their applications in critical sectors.
Special Article
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Trends in Materials Modeling and Computation for Metal Additive Manufacturing
Seoyeon Jeon, Hyunjoo Choi
J Powder Mater. 2024;31(3):213-219.   Published online June 27, 2024
DOI: https://doi.org/10.4150/jpm.2024.00150
  • 582 View
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AbstractAbstract PDF
Additive Manufacturing (AM) is a process that fabricates products by manufacturing materials according to a three-dimensional model. It has recently gained attention due to its environmental advantages, including reduced energy consumption and high material utilization rates. However, controlling defects such as melting issues and residual stress, which can occur during metal additive manufacturing, poses a challenge. The trial-and-error verification of these defects is both time-consuming and costly. Consequently, efforts have been made to develop phenomenological models that understand the influence of process variables on defects, and mechanical/electrical/thermal properties of geometrically complex products. This paper introduces modeling techniques that can simulate the powder additive manufacturing process. The focus is on representative metal additive manufacturing processes such as Powder Bed Fusion (PBF), Direct Energy Deposition (DED), and Binder Jetting (BJ) method. To calculate thermal-stress history and the resulting deformations, modeling techniques based on Finite Element Method (FEM) are generally utilized. For simulating the movements and packing behavior of powders during powder classification, modeling techniques based on Discrete Element Method (DEM) are employed. Additionally, to simulate sintering and microstructural changes, techniques such as Monte Carlo (MC), Molecular Dynamics (MD), and Phase Field Modeling (PFM) are predominantly used.
Research Articles
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Data-driven Approach to Explore the Contribution of Process Parameters for Laser Powder Bed Fusion of a Ti-6Al-4V Alloy
Jeong Min Park, Jaimyun Jung, Seungyeon Lee, Haeum Park, Yeon Woo Kim, Ji-Hun Yu
J Powder Mater. 2024;31(2):137-145.   Published online April 30, 2024
DOI: https://doi.org/10.4150/jpm.2024.00038
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  • 44 Download
AbstractAbstract PDF
In order to predict the process window of laser powder bed fusion (LPBF) for printing metallic components, the calculation of volumetric energy density (VED) has been widely calculated for controlling process parameters. However, because it is assumed that the process parameters contribute equally to heat input, the VED still has limitation for predicting the process window of LPBF-processed materials. In this study, an explainable machine learning (xML) approach was adopted to predict and understand the contribution of each process parameter to defect evolution in Ti alloys in the LPBF process. Various ML models were trained, and the Shapley additive explanation method was adopted to quantify the importance of each process parameter. This study can offer effective guidelines for fine-tuning process parameters to fabricate high-quality products using LPBF.
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Cryogenic Tensile Behavior of Ferrous Medium-entropy Alloy Additively Manufactured by Laser Powder Bed Fusion
Seungyeon Lee, Kyung Tae Kim, Ji-Hun Yu, Hyoung Seop Kim, Jae Wung Bae, Jeong Min Park
J Powder Mater. 2024;31(1):8-15.   Published online February 28, 2024
DOI: https://doi.org/10.4150/KPMI.2024.31.1.8
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  • 101 Download
  • 2 Citations
AbstractAbstract PDF

The emergence of ferrous-medium entropy alloys (FeMEAs) with excellent tensile properties represents a potential direction for designing alloys based on metastable engineering. In this study, an FeMEA is successfully fabricated using laser powder bed fusion (LPBF), a metal additive manufacturing technology. Tensile tests are conducted on the LPBF-processed FeMEA at room temperature and cryogenic temperatures (77 K). At 77 K, the LPBF-processed FeMEA exhibits high yield strength and excellent ultimate tensile strength through active deformation-induced martensitic transformation. Furthermore, due to the low stability of the face-centered cubic (FCC) phase of the LPBF-processed FeMEA based on nano-scale solute heterogeneity, stress-induced martensitic transformation occurs, accompanied by the appearance of a yield point phenomenon during cryogenic tensile deformation. This study elucidates the origin of the yield point phenomenon and deformation behavior of the FeMEA at 77 K.

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Citations to this article as recorded by  
  • Cryogenic tensile behavior of carbon-doped CoCrFeMnNi high-entropy alloys additively manufactured by laser powder bed fusion
    Haeum Park, Hyeonseok Kwon, Kyung Tae Kim, Ji-Hun Yu, Jungho Choe, Hyokyung Sung, Hyoung Seop Kim, Jung Gi Kim, Jeong Min Park
    Additive Manufacturing.2024; 86: 104223.     CrossRef
  • Recent progress in high-entropy alloys for laser powder bed fusion: Design, processing, microstructure, and performance
    Asker Jarlöv, Zhiguang Zhu, Weiming Ji, Shubo Gao, Zhiheng Hu, Priyanka Vivegananthan, Yujia Tian, Devesh Raju Kripalani, Haiyang Fan, Hang Li Seet, Changjun Han, Liming Tan, Feng Liu, Mui Ling Sharon Nai, Kun Zhou
    Materials Science and Engineering: R: Reports.2024; 161: 100834.     CrossRef
Articles
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Combinatorial Experiment for Al-6061 and Al-12Si alloy Based on Directed Energy Deposition (DED) Process
Seoyeon Jeon, Suwon Park, Yongwook Song, Jiwon Park, Hyunyoung Park, Boram Lee, Hyunjoo Choi
J Powder Mater. 2023;30(6):463-469.   Published online December 1, 2023
DOI: https://doi.org/10.4150/KPMI.2023.30.6.463
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  • 24 Download
  • 3 Citations
AbstractAbstract PDF

Aluminum alloys, known for their high strength-to-weight ratios and impressive electrical and thermal conductivities, are extensively used in numerous engineering sectors, such as aerospace, automotive, and construction. Recently, significant efforts have been made to develop novel aluminum alloys specifically tailored for additive manufacturing. These new alloys aim to provide an optimal balance between mechanical properties and thermal/ electrical conductivities. In this study, nine combinatorial samples with various alloy compositions were fabricated using direct energy deposition (DED) additive manufacturing by adjusting the feeding speeds of Al6061 alloy and Al-12Si alloy powders. The effects of the alloying elements on the microstructure, electrical conductivity, and hardness were investigated. Generally, as the Si and Cu contents decreased, electrical conductivity increased and hardness decreased, exhibiting trade-off characteristics. However, electrical conductivity and hardness showed an optimal combination when the Si content was adjusted to below 4.5 wt%, which can sufficiently suppress the grain boundary segregation of the α- Si precipitates, and the Cu content was controlled to induce the formation of Al2Cu precipitates.

Citations

Citations to this article as recorded by  
  • Trends in Materials Modeling and Computation for Metal Additive Manufacturing
    Seoyeon Jeon, Hyunjoo Choi
    journal of Korean Powder Metallurgy Institute.2024; 31(3): 213.     CrossRef
  • The Challenges and Advances in Recycling/Re-Using Powder for Metal 3D Printing: A Comprehensive Review
    Alex Lanzutti, Elia Marin
    Metals.2024; 14(8): 886.     CrossRef
  • Microstructural Effects on the Mechanical Properties of Ti-6Al-4V Fabricated by Direct Energy Deposition
    Juho Kim, Seoyeon Jeon, Hwajin Park, Taeyoel Kim, Hyunjoo Choi
    Journal of Powder Materials.2024; 31(4): 302.     CrossRef
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Microstructures and Mechanical Properties of Al-B4C Composites Fabricated by DED Process
Yu-Jeong An, Ju-Yeon Han, Hyunjoo Choi, Se-Eun Shin
J Powder Mater. 2023;30(3):262-267.   Published online June 1, 2023
DOI: https://doi.org/10.4150/KPMI.2023.30.3.262
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Boron carbide (B4C) is highly significant in the production of lightweight protective materials when added to aluminum owing to its exceptional mechanical properties. In this study, a method for fabricating Al-B4C composites using high-energy ball milling and directed energy deposition (DED) is presented. Al-4 wt.% B4C composites were fabricated under 21 different laser conditions to analyze the microstructure and mechanical properties at different values of laser power and scan speeds. The composites fabricated at a laser power of 600 W and the same scan speed exhibited the highest hardness and generated the fewest pores. In contrast, the composites fabricated at a laser power of 1000 W exhibited the lowest hardness and generated a significant number of large pores. This can be explained by the influence of the microstructure on the energy density at different values of laser power.

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Exploration of Aluminum Alloy using Multi-feeder 3D Additive Manufacturing-based Combinatorial Experiment
Suwon Park, Yongwook Song, Jiyoon Yeo, Songyun Han, Hyunjoo Choi
J Powder Mater. 2023;30(3):255-261.   Published online June 1, 2023
DOI: https://doi.org/10.4150/KPMI.2023.30.3.255
  • 408 View
  • 2 Download
  • 3 Citations
AbstractAbstract PDF

Aluminum alloys are widely utilized in diverse industries, such as automobiles, aerospace, and architecture, owing to their high specific strength and resistance to oxidation. However, to meet the increasing demands of the industry, it is necessary to design new aluminum alloys with excellent properties. Thus, a new method is required to efficiently test additively manufactured aluminum alloys with various compositions within a short period during the alloy design process. In this study, a combinatory approach using a direct energy deposition system for metal 3D printing process with a dual feeder was employed. Two types of aluminum alloy powders, namely Al6061 and Al-12Cu, were utilized for the combinatory test conducted through 3D printing. Twelve types of Al-Si-Cu-Mg alloys were manufactured during this combinatory test, and the relationship between their microstructures and properties was investigated.

Citations

Citations to this article as recorded by  
  • Trends in Materials Modeling and Computation for Metal Additive Manufacturing
    Seoyeon Jeon, Hyunjoo Choi
    journal of Korean Powder Metallurgy Institute.2024; 31(3): 213.     CrossRef
  • Microstructural Effects on the Mechanical Properties of Ti-6Al-4V Fabricated by Direct Energy Deposition
    Juho Kim, Seoyeon Jeon, Hwajin Park, Taeyoel Kim, Hyunjoo Choi
    Journal of Powder Materials.2024; 31(4): 302.     CrossRef
  • Combinatorial Experiment for Al-6061 and Al-12Si alloy Based on Directed Energy Deposition (DED) Process
    Seoyeon Jeon, Suwon Park, Yongwook Song, Jiwon Park, Hyunyoung Park, Boram Lee, Hyunjoo Choi
    journal of Korean Powder Metallurgy Institute.2023; 30(6): 463.     CrossRef
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Analysis of the Effects of Process Variables and Alloy Composition on the Relative density and Mechanical Properties of 3D Printed Aluminum Alloys
Suwon Park, Jiyoon Yeo, Songyun Han, Hyunjoo Choi
J Powder Mater. 2023;30(3):223-232.   Published online June 1, 2023
DOI: https://doi.org/10.4150/KPMI.2023.30.3.223
  • 331 View
  • 7 Download
  • 1 Citations
AbstractAbstract PDF

Metal additive manufacturing (AM) has transformed conventional manufacturing processes by offering unprecedented opportunities for design innovation, reduced lead times, and cost-effective production. Aluminum alloy, a material used in metal 3D printing, is a representative lightweight structural material known for its high specific strength and corrosion resistance. Consequently, there is an increasing demand for 3D printed aluminum alloy components across industries, including aerospace, transportation, and consumer goods. To meet this demand, research on alloys and process conditions that satisfy the specific requirement of each industry is necessary. However, 3D printing processes exhibit different behaviors of alloy elements owing to rapid thermal dynamics, making it challenging to predict the microstructure and properties. In this study, we gathered published data on the relationship between alloy composition, processing conditions, and properties. Furthermore, we conducted a sensitivity analysis on the effects of the process variables on the density and hardness of aluminum alloys used in additive manufacturing.

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  • Effect of Heat Treatment on Microstructure and Mechanical Properties of Al–Zn–Mg–Cu–Si Sintered Alloys with and Without High-energy Ball Milling
    Junho Lee, Seonghyun Park, Sang-Hwa Lee, Seung Bae Son, Seok-Jae Lee, Jae-Gil Jung
    journal of Korean Powder Metallurgy Institute.2023; 30(6): 470.     CrossRef
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Prediction of Crack Density in additive manufactured AA7075 Alloy Reinforced with ZrH2 inoculant via Response Surface Method
Jeong Ah Lee, Jungho Choe, Hyoung Seop Kim
J Powder Mater. 2023;30(3):203-209.   Published online June 1, 2023
DOI: https://doi.org/10.4150/KPMI.2023.30.3.203
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  • 1 Citations
AbstractAbstract PDF

Aluminum alloy-based additive manufacturing (AM) has emerged as a popular manufacturing process for the fabrication of complex parts in the automotive and aerospace industries. The addition of an inoculant to aluminum alloy powder has been demonstrated to effectively reduce cracking by promoting the formation of equiaxed grains. However, the optimization of the AM process parameters remains challenging owing to their variability. In this study, the response surface methodology (RSM) was used to predict the crack density of AM-processed Al alloy samples. RSM was performed by setting the process parameters and equiaxed grain ratio, which influence crack propagation, as independent variables and designating crack density as a response variable. The RSM-based quadratic polynomial models for crack-density prediction were found to be highly accurate. The relationship among the process parameters, crack density, and equiaxed grain fraction was also investigated using RSM. The findings of this study highlight the efficacy of RSM as a reliable approach for optimizing the properties of AM-processed parts with limited experimental data. These results can contribute to the development of robust AM processing strategies for the fabrication of highquality Al alloy components for various applications.

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  • Synergistic strengthening of crack-free Al–Zn–Mg–Cu alloys with hierarchical microstructures achieved via laser powder bed fusion
    Jungho Choe, Kyung Tae Kim, Jeong Min Park, Hyomoon Joo, Sang Guk Jeong, Eun Seong Kim, Soung Yeoul Ahn, Gang Hee Gu, Hyoung Seop Kim
    Materials Research Letters.2024; 12(8): 598.     CrossRef
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Effect of Substrate Pre-heating on Microstructure and Magnetic Properties of Nd-Fe-B Permanent Magnet Manufactured by L-PBF
Yeon Woo Kim, Haeum Park, Tae-Hoon Kim, Kyung Tae Kim, Ji-Hun Yu, Yoon Suk Choi, Jeong Min Park
J Powder Mater. 2023;30(2):116-122.   Published online April 1, 2023
DOI: https://doi.org/10.4150/KPMI.2023.30.2.116
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AbstractAbstract PDF

Because magnets fabricated using Nd-Fe-B exhibit excellent magnetic properties, this novel material is used in various high-tech industries. However, because of the brittleness and low formability of Nd-Fe-B magnets, the design freedom of shapes for improving the performance is limited based on conventional tooling and postprocessing. Laserpowder bed fusion (L-PBF), the most famous additive manufacturing (AM) technique, has recently emerged as a novel process for producing geometrically complex shapes of Nd-Fe-B parts owing to its high precision and good spatial resolution. However, because of the repeated thermal shock applied to the materials during L-PBF, it is difficult to fabricate a dense Nd-Fe-B magnet. In this study, a high-density (>96%) Nd-Fe-B magnet is successfully fabricated by minimizing the thermal residual stress caused by substrate heating during L-PBF.

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Study for the Process Parameter Control to Achieve High Build Rate of Laser Powder Bed Fused IN718 Super Alloy Using Optimal VED
Sang Uk Kim, Kyu-Sik Kim, Yongho Sohn, Kee-Ahn Lee
J Powder Mater. 2022;29(5):390-398.   Published online October 1, 2022
DOI: https://doi.org/10.4150/KPMI.2022.29.5.390
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AbstractAbstract PDF

Recently, considerable attention has been given to nickel-based superalloys used in additive manufacturing. However, additive manufacturing is limited by a slow build rate in obtaining optimal densities. In this study, optimal volumetric energy density (VED) was calculated using optimal process parameters of IN718 provided by additive manufacturing of laser powder-bed fusion. The laser power and scan speed were controlled using the same ratio to maintain the optimal VED and achieve a fast build rate. Cube samples were manufactured using seven process parameters, including an optimal process parameter. Analysis was conducted based on changes in density and melt-pool morphology. At a low laser power and scan speed, the energy applied to the powder bed was proportional to and not . At a high laser power and scan speed, a curved track was formed due to Plateau-Rayleigh instability. However, a wide melt-pool shape and continuous track were formed, which did not significantly affect the density. We were able to verify the validity of the VED formula and succeeded in achieving a 75% higher build rate than that of the optimal parameter, with a slight decrease in density and hardness.

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Improving Flow Property of AlSi10Mg Powder for Additive Manufacturing via Surface Treatment using Methyltrichlorosilane
Sang Cheol Park, In Yeong Kim, Young Il Kim, Dae-Kyeom Kim, Kee-Ahn Lee, Soong Ju Oh, Bin Lee
J Powder Mater. 2022;29(5):363-369.   Published online October 1, 2022
DOI: https://doi.org/10.4150/KPMI.2022.29.5.363
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  • 1 Citations
AbstractAbstract PDF

AlSi10Mg alloys are being actively studied through additive manufacturing for application in the automobile and aerospace industries because of their excellent mechanical properties. To obtain a consistently high quality product through additive manufacturing, studying the flowability and spreadability of the metal powder is necessary. AlSi10Mg powder easily forms an oxide film on the powder surface and has hydrophilic properties, making it vulnerable to moisture. Therefore, in this study, AlSi10Mg powder was hydrophobically modified through silane surface treatment to improve the flowability and spreadability by reducing the effects of moisture. The improved flowability according to the number of silane surface treatments was confirmed using a Carney flowmeter. In addition, to confirm the effects of improved spreadability, the powder prior to surface treatment and that subjected to surface treatment four times were measured and compared using s self-designed recoating tester. The results of this study confirmed the improved flowability and spreadability based on the modified metal powder from hydrophilic to hydrophobic for obtaining a highquality additive manufacturing product.

Citations

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  • Residual Stress Analysis of Additive Manufactured A356.2 Aluminum Alloys using X-Ray Diffraction Methods
    SangCheol Park, InYeong Kim, Young Il Kim, Dae-Kyeom Kim, Soong Ju Oh, Kee-Ahn Lee, Bin Lee
    Korean Journal of Metals and Materials.2023; 61(7): 534.     CrossRef
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Effect of Laser Beam Diameter on the Microstructure and Hardness of 17-4 PH Stainless Steel Additively Manufactured by Direct Energy Deposition
Woo Hyeok Kim, UiJun Go, Jeoung Han Kim
J Powder Mater. 2022;29(4):314-319.   Published online August 1, 2022
DOI: https://doi.org/10.4150/KPMI.2022.29.4.314
  • 243 View
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  • 3 Citations
AbstractAbstract PDF

The effect of the laser beam diameter on the microstructure and hardness of 17-4 PH stainless steel manufactured via the directed energy deposition process is investigated. The pore size and area fraction are much lower using a laser beam diameter of 1.0 mm compared with those observed using a laser beam diameter of 1.8 mm. Additionally, using a relatively larger beam diameter results in pores in the form of incomplete melting. Martensite and retained austenite are observed under both conditions. A smaller width of the weld track and overlapping area are observed in the sample fabricated with a 1.0 mm beam diameter. This difference appears to be mainly caused by the energy density based on the variation in the beam diameter. The sample prepared with a beam diameter of 1.0 mm had a higher hardness near the substrate than that prepared with a 1.8 mm beam diameter, which may be influenced by the degree of melt mixing between the 17-4 PH metal powder and carbon steel substrate.

Citations

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  • Mechanical response and microstructural evolution of a composite joint fabricated by green laser dissimilar welding of VCoNi medium entropy alloy and 17-4PH stainless steel
    Hadiseh Esmaeilpoor, Mahdi Aghaahmadi, Hyun Jong Yoo, Chan Woong Park, Tae Jin Jang, Seok Su Sohn, Jeoung Han Kim
    Journal of Materials Science & Technology.2025; 213: 223.     CrossRef
  • Laser additive manufacturing of ceramic reinforced titanium matrix composites: A review of microstructure, properties, auxiliary processes, and simulations
    Yuzhou Zeng, Jiandong Wang, Xuanrui Liu, Yu Xue, Lang Tang, Yunxiang Tong, Fengchun Jiang
    Composites Part A: Applied Science and Manufacturing.2024; 177: 107941.     CrossRef
  • Study on the Elemental Diffusion Distance of a Pure Nickel Layer Additively Manufactured on 316H Stainless Steel
    UiJun Ko, Won Chan Lee, Gi Seung Shin, Ji-Hyun Yoon, Jeoung Han Kim
    journal of Korean Powder Metallurgy Institute.2024; 31(3): 220.     CrossRef
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3D-printing-based Combinatorial Experiment for Al-Si-Cu-Mg Alloys
Yongwook Song, Jungjoon Kim, Suwon Park, Hyunjoo Choi
J Powder Mater. 2022;29(3):233-239.   Published online June 1, 2022
DOI: https://doi.org/10.4150/KPMI.2022.29.3.233
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AbstractAbstract PDF

Aluminum alloys are extensively employed in several industries, such as automobile, aerospace, and architecture, owing to their high specific strength and electrical and thermal conductivities. However, to meet the rising industrial demands, aluminum alloys must be designed with both excellent mechanical and thermal properties. Computer-aided alloy design is emerging as a technique for developing novel alloys to overcome these trade-off properties. Thus, the development of a new experimental method for designing alloys with high-throughput confirmation is gaining focus. A new approach that rapidly manufactures aluminum alloys with different compositions is required in the alloy design process. This study proposes a combined approach to rapidly investigate the relationship between the microstructure and properties of aluminum alloys using a direct energy deposition system with a dual-nozzle metal 3D printing process. Two types of aluminum alloy powders (Al-4.99Si-1.05Cu-0.47Mg and Al-7Mg) are employed for the 3D printing-based combined method. Nine types of Al-Si-Cu-Mg alloys are manufactured using the combined method, and the relationship between their microstructures and properties is examined.


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