Rare Metals, Journal Year: 2024, Volume and Issue: 43(12), P. 6288 - 6328
Published: July 13, 2024
Language: Английский
Rare Metals, Journal Year: 2024, Volume and Issue: 43(12), P. 6288 - 6328
Published: July 13, 2024
Language: Английский
Journal of Manufacturing Processes, Journal Year: 2023, Volume and Issue: 107, P. 574 - 619
Published: Nov. 8, 2023
Language: Английский
Citations
118International Journal of Extreme Manufacturing, Journal Year: 2023, Volume and Issue: 6(1), P. 015001 - 015001
Published: Sept. 18, 2023
Highlights WE43 parts with favorable forming quality are fabricated by laser-beam powder bed fusion and the interaction between laser beam is revealed. After suitable heat treatment, anisotropic microstructure eliminated, nano-scaled Mg 24 Y 5 particles homogeneously precipitated. The yield strength ultimate tensile improved to (250.2 ± 3.5) MPa (312 3.7) MPa, respectively, while elongation still maintains at high level of 15.2%. Homogenized inhibits micro galvanic corrosion promotes development passivation film, thus decreasing degradation rate an order magnitude. porous scaffolds offer a environment for cell growth.
Language: Английский
Citations
84International Journal of Machine Tools and Manufacture, Journal Year: 2023, Volume and Issue: 194, P. 104103 - 104103
Published: Nov. 28, 2023
Language: Английский
Citations
79Advanced Science, Journal Year: 2023, Volume and Issue: 10(34)
Published: Oct. 9, 2023
Abstract Polydimethylsiloxane (PDMS)—the simplest and most common silicone compound—exemplifies the central characteristics of its class has attracted tremendous research attention. The development PDMS‐based materials is a vivid reflection modern industry. In recent years, PDMS stood out as material choice for various emerging technologies. rapid improvement in bulk modification strategies multifunctional surfaces enabled whole new generation devices, facilitating, even transforming enormous applications, including flexible electronics, superwetting surfaces, soft actuators, wearable implantable sensors, biomedicals, autonomous robotics. This paper reviews latest advances field functional materials, with focus on added functionality their use programmable smart devices. Recent breakthroughs regarding instant crosslinking additive manufacturing are featured, exciting opportunities future highlighted. review provides quick entrance to this rapidly evolving will help guide rational design next‐generation
Language: Английский
Citations
78Science, Journal Year: 2024, Volume and Issue: 383(6683), P. 639 - 645
Published: Feb. 8, 2024
Coarse columnar grains and heterogeneously distributed phases commonly form in metallic alloys produced by three-dimensional (3D) printing are often considered undesirable because they can impart nonuniform inferior mechanical properties. We demonstrate a design strategy to unlock consistent enhanced properties directly from 3D printing. Using Ti-5Al-5Mo-5V-3Cr as model alloy, we show that adding molybdenum (Mo) nanoparticles promotes grain refinement during solidification suppresses the formation of phase heterogeneities solid-state thermal cycling. The microstructural change bifunctional additive results uniform simultaneous enhancement both strength ductility. how this alloy be modified single component address unfavorable microstructures, providing pathway achieve desirable characteristics
Language: Английский
Citations
75Additive manufacturing, Journal Year: 2024, Volume and Issue: 91, P. 104320 - 104320
Published: July 1, 2024
Predicting mechanical properties in metal additive manufacturing (MAM) is essential for ensuring the performance and reliability of printed parts, as well their suitability specific applications. However, conducting experiments to estimate MAM processes can be laborious expensive, they are often limited materials processes. Machine learning (ML) methods offer a more flexible cost-effective approach predicting based on processing parameters material properties. In this study, we introduce comprehensive framework benchmarking ML models We compiled an extensive experimental dataset from over 90 articles data sheets diverse range sources, encompassing 140 different sheets. This includes information conditions, machines, materials, resulting such yield strength, ultimate tensile elastic modulus, elongation, hardness, surface roughness. Our incorporates physics-aware featurization MAM, adjustable models, tailored evaluation metrics construct Additionally, explore Explainable AI method, specifically SHAP analysis, elucidate interpret predicted values Furthermore, data-driven explicit were developed properties, offering enhanced interpretability compared conventional models.
Language: Английский
Citations
27Corrosion Science, Journal Year: 2024, Volume and Issue: 228, P. 111846 - 111846
Published: Jan. 15, 2024
This research delves into the passivation and electrochemical corrosion response of as-printed annealed L-PBF NAB, comparing their performance with wrought NAB counterparts. The results unveil that interplay between microstructural uniformity, higher aluminum content, residual stress, presence martensitic nanotwins substantially enhances integrity film improves uniform resistance as-fabricated NAB. Nonetheless, this combination adversely impacts localized resistance. Remarkably, annealing, despite its detrimental effect on behavior, ameliorates to attacks. In contrast, equivalents exhibit inferior across all experimental conditions.
Language: Английский
Citations
26Additive manufacturing, Journal Year: 2024, Volume and Issue: 85, P. 104157 - 104157
Published: April 1, 2024
Language: Английский
Citations
26Composite Structures, Journal Year: 2024, Volume and Issue: 342, P. 118267 - 118267
Published: June 12, 2024
Language: Английский
Citations
23Materials Science and Engineering A, Journal Year: 2024, Volume and Issue: 909, P. 146833 - 146833
Published: June 15, 2024
Additive Manufacturing (AM) is a transformative technology that facilitates the production of intricate geometries with high precision, customization, and speed. While conventional AM processes for metallic components have traditionally involved single materials, there growing demand hybrid made from two or more metals. This paper comprehensively reviews state-of-the-art in multi-material parts using Laser Powder Bed Fusion (LPBF). It delves into an in-depth analysis interface characteristics properties bimetallic LPBF parts, offering valuable insights complex process-structure-property relations joining similar dissimilar Research on metals has emphasized significant potential this method efficiently producing robust joints across various classes ferrous non-ferrous Moreover, article addresses inherent challenges 3D printing metals, including substantial differences physical chemical properties, formation detrimental intermetallic compounds, element segregation. In response to these obstacles, study thoroughly explores strategies proposed literature, such as adjusting process parameters, integrating interlayer third material, utilizing machine learning algorithms. Additionally, it outlines applications future directions structures, providing complete roadmap research rapidly evolving field.
Language: Английский
Citations
23