Meta-structure of amorphous-inspired 65.1Co28.2Cr5.3Mo lattices augmented by artificial intelligence

IF 23.2 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES
Seong Je Park, Woongbeom Heogh, Jeongho Yang, Sukhyun Kang, Wonjong Jeong, Hoyoung Lee, Tae-Sik Jang, Hyun-Do Jung, Mohammad Jahazi, Seung Chul Han, Hyoung Seop Kim, Myoung-Gyu Lee, Susmita Bose, Amit Bandyopadhyay, Martin Byung-Guk Jun, Young Won Kim, Xingyu Fu, Rigoberto C. Advincula, Clodualdo Aranas Jr., Sang Hoon Kim
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Abstract

A hatching-distance-controlled lattice of 65.1Co28.2Cr5.3Mo is additively manufactured via laser powder bed fusion with a couple of periodic and aperiodic arrangements of nodes and struts. Thus, the proposed lattice has an amorphous-inspired structure in the short- and long-range orders. From the structural perspective, an artificial intelligence algorithm is used to effectively align lattices with various hatching distances. Then, the metastable lattice combination exhibits an unexpectedly high specific compression strength that is only slightly below that of a solid structure. From the microstructural perspective, the nodes in the newly designed lattice, where the thermal energy from laser irradiation is mainly concentrated, exhibit an equiaxial microstructure. By contrast, the struts exhibit a columnar microstructure, thereby allowing the thermal energy to pass through the narrow ligaments. The heterogeneous phase differences between the nodal and strut areas explain the strength-deteriorating mechanism, owing to the undesirable multi-phase development in the as-built state. However, solid-solution heat treatment to form a homogeneous phase bestows even higher specific compression strength. Furthermore, electrochemical leaching leads to the formation of nanovesicles on the surface of the microporous lattice system, thereby leading to a large surface area. A more advanced valve cage for use in a power plant is designed by using artificial intelligence both to (i) effectively preserve its mechanical stiffness and (ii) actively dissipate the generated stress through the large surface area provided by the nanovesicles.

人工智能增强的非晶态灵感 65.1Co28.2Cr5.3Mo 晶格的元结构
65.1Co28.2Cr5.3Mo 的孵化-距离控制晶格是通过激光粉末床熔融技术以添加法制造的,其节点和支柱有周期性和非周期性排列。因此,所提出的晶格在短程和长程顺序上具有非晶启发结构。从结构的角度来看,人工智能算法可有效地排列不同孵化距离的晶格。然后,可蜕变晶格组合表现出出乎意料的高比压缩强度,仅略低于固体结构的比压缩强度。从微观结构的角度来看,新设计晶格中的节点(激光照射产生的热能主要集中于此)呈现出等轴微观结构。相比之下,支柱则呈现出柱状微结构,从而使热能能够通过狭窄的韧带。节点和支柱区域之间的异相差异解释了强度下降的机理,这是由于在竣工状态下出现了不良的多相发展。然而,通过固溶热处理形成均相,可以获得更高的比压缩强度。此外,电化学浸蚀可在微孔晶格系统表面形成纳米颗粒,从而获得较大的表面积。利用人工智能设计出了一种用于发电厂的更先进的阀笼,这种阀笼 (i) 可有效保持机械刚度,(ii) 可通过纳米微粒提供的大表面积主动消散产生的应力。
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来源期刊
CiteScore
26.00
自引率
21.40%
发文量
185
期刊介绍: Advanced Composites and Hybrid Materials is a leading international journal that promotes interdisciplinary collaboration among materials scientists, engineers, chemists, biologists, and physicists working on composites, including nanocomposites. Our aim is to facilitate rapid scientific communication in this field. The journal publishes high-quality research on various aspects of composite materials, including materials design, surface and interface science/engineering, manufacturing, structure control, property design, device fabrication, and other applications. We also welcome simulation and modeling studies that are relevant to composites. Additionally, papers focusing on the relationship between fillers and the matrix are of particular interest. Our scope includes polymer, metal, and ceramic matrices, with a special emphasis on reviews and meta-analyses related to materials selection. We cover a wide range of topics, including transport properties, strategies for controlling interfaces and composition distribution, bottom-up assembly of nanocomposites, highly porous and high-density composites, electronic structure design, materials synergisms, and thermoelectric materials. Advanced Composites and Hybrid Materials follows a rigorous single-blind peer-review process to ensure the quality and integrity of the published work.
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