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Advanced composites and hybrid materials. 2024;7(6):224. doi: 10.1007/s42114-024-01039-6 Q123.22024

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

基于人工智能增强的无序结构启发的六十五点一钴二十八点二铬五点三钼晶格的元结构 翻译改进

Seong Je Park  1, Woongbeom Heogh  2, Jeongho Yang  3, Sukhyun Kang  4, Wonjong Jeong  5, Hoyoung Lee  6, Tae-Sik Jang  7, Hyun-Do Jung  8, Mohammad Jahazi  9, Seung Chul Han  10, Hyoung Seop Kim  11  12  13, Myoung-Gyu Lee  6, Susmita Bose  14, Amit Bandyopadhyay  14, Martin Byung-Guk Jun  15, Young Won Kim  15, Xingyu Fu  15, Rigoberto C Advincula  16  17  18, Clodualdo Aranas Jr  19, Sang Hoon Kim  20

作者单位 +展开

作者单位

  • 1 School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 639798 Singapore.
  • 2 Satellite System 5 Team, Hanwha Systems, Yongin, Gyeonggi-do 17121 Republic of Korea.
  • 3 School of Mechanical Engineering, Pusan National University, Busan, 46241 Republic of Korea.
  • 4 Process Research 3 Team, LG Display Co., Ltd., Paju, Gyeonggi-do 10845 Republic of Korea.
  • 5 Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141 Republic of Korea.
  • 6 Department of Materials Science and Engineering & RIAM, Seoul National University, Seoul, 08826 Republic of Korea.
  • 7 School of Biomedical Convergence Engineering, Pusan National University, Yangsan, Gyeongsangbuk-do 50612 Republic of Korea.
  • 8 Division of Materials Science and Engineering, Hanyang University, Seoul, 04763 Republic of Korea.
  • 9 Department of Mechanical Engineering, École de Technologie Supérieure, Montreal, QC H3C 1K3 Canada.
  • 10 Material & Component Convergence R&D Center, Korea Construction Equipment Technology Institute, Gunsan, Jeollabuk-do 54002 Republic of Korea.
  • 11 Graduate Institute of Ferrous and Eco Materials Technology, Pohang University of Science and Technology, Pohang, Gyeongsangbuk-do 37673 Republic of Korea.
  • 12 Advanced Institute for Materials Research, Tohoku University, Sendai, 980-8577 Japan.
  • 13 Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul, 03722 Republic of Korea.
  • 14 School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164 USA.
  • 15 School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907 USA.
  • 16 Department of Macromolecular Science and Engineering, Case Western Reserve University, Cleveland, OH 44106 USA.
  • 17 Department of Chemical and Biomolecular Engineering and Joint Institute for Advanced Materials, University of Tennessee, Knoxville, TN 37996 USA.
  • 18 Center for Nanophase Materials and Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37830 USA.
  • 19 Department of Mechanical Engineering, University of New Brunswick, Fredericton, New Brunswick E3B 5A3 Canada.
  • 20 Power Generation Laboratory, Korea Electric Power Research Institute, Daejeon, 34056 Republic of Korea.
  • DOI: 10.1007/s42114-024-01039-6 PMID: 39659519

    摘要 Ai翻译

    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.

    Supplementary information: The online version contains supplementary material available at 10.1007/s42114-024-01039-6.

    Keywords: Amorphous-inspired structure; Artificial intelligence; Hatching-distance-controlled lattice; Heterogeneous phase differences; Metastable lattice combination.

    Keywords:amorphous-inspired lattice; meta-structure; artificial intelligence; material design

    Copyright © Advanced composites and hybrid materials. 中文内容为AI机器翻译,仅供参考!

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    期刊名:Advanced composites and hybrid materials

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    ISSN:2522-0128

    e-ISSN:2522-0136

    IF/分区:23.2/Q1

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