Laser powder bed fusion processed LaCe(Fe, Mn, Si)₁₃ lattices for magnetic refrigeration: Process optimization, microstructure, and magnetocaloric performance
In this study, the optimal laser powder bed fusion (LPBF) processing parameters for fabricating fully dense LaCe(Fe,Mn,Si)13 thin walls have been identified through a machine-learning approach based on the Gaussian process regression (GPR) model. All the specimens and components were fabricated usin...
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Elsevier
2025-01-01
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| Series: | Journal of Materials Research and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785424028527 |
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| author | Kun Sun Yuting Zhang Sheng Li Zhaohe Gao Xue Cao Ziling Peng Pengyan Huang Abd El-Moez A. Mohamed Zhigang Zheng Minki Jeong Yu-Lung Chiu Yang Lu Moataz M. Attallah |
| author_facet | Kun Sun Yuting Zhang Sheng Li Zhaohe Gao Xue Cao Ziling Peng Pengyan Huang Abd El-Moez A. Mohamed Zhigang Zheng Minki Jeong Yu-Lung Chiu Yang Lu Moataz M. Attallah |
| author_sort | Kun Sun |
| collection | DOAJ |
| description | In this study, the optimal laser powder bed fusion (LPBF) processing parameters for fabricating fully dense LaCe(Fe,Mn,Si)13 thin walls have been identified through a machine-learning approach based on the Gaussian process regression (GPR) model. All the specimens and components were fabricated using a continuous laser source. The relationship between the defect fraction of the fabricated thin wall and the line energy density (EL) and hatch (h) is established. The measured defect fraction of specimens fabricated using the validation data sets was very well in agreement with the predicted values of the GPR model, with an error of less than 1%. The microstructure of as-fabricated lattices is contained by α-Fe phases, LaFeSi phases, NaZn13-type phases, and the La/Ce/Si rich phases, which has an amorphous matrix embedded with nanocrystalline. The microstructure of the HTHed lattices presents the α-Fe phases, LaFeSi phases, and NaZn13-type phases. The diamond lattice has high heat exchange efficiency among the four lattices because of its large surface area (1577.1 mm2) and excellent thermal conductivity. Although the LPBF parameters are the same, the maximum isothermal magnetic entropy change (ΔSm) and Tc of the four samples differ. The X-ray powder diffraction test confirms that the HTHed Tube exhibits the highest volume of the NaZn13-type phase. The HTHed Tube saw ΔSm, about 1.63 J kg−1K−1 at 264.5 K. The ΔSm of HTHed Diamond around Tc (1.13 J kg−1K−1 at 219.5 K) is slightly higher than HTHed Gyroid (0.99 J kg−1K−1 at 250.5 K). Essentially, our work accelerates the search for optimal process parameters and guides the direction for lattice design of LaCe(Fe,Mn,Si)13. |
| format | Article |
| id | doaj-art-d671eb15d9914977bbd2452ac309ab6b |
| institution | Kabale University |
| issn | 2238-7854 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
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| series | Journal of Materials Research and Technology |
| spelling | doaj-art-d671eb15d9914977bbd2452ac309ab6b2025-01-19T06:25:11ZengElsevierJournal of Materials Research and Technology2238-78542025-01-0134297310Laser powder bed fusion processed LaCe(Fe, Mn, Si)₁₃ lattices for magnetic refrigeration: Process optimization, microstructure, and magnetocaloric performanceKun Sun0Yuting Zhang1Sheng Li2Zhaohe Gao3Xue Cao4Ziling Peng5Pengyan Huang6Abd El-Moez A. Mohamed7Zhigang Zheng8Minki Jeong9Yu-Lung Chiu10Yang Lu11Moataz M. Attallah12School of Metallurgy and Materials, University of Birmingham, B15 2TT, Birmingham, United KingdomSchool of Computer Science, University of Birmingham, B15 2TT, Birmingham, United KingdomSchool of Metallurgy and Materials, University of Birmingham, B15 2TT, Birmingham, United Kingdom; School of Electro-mechanical Engineering, Guangdong University of Technology, Guangdong, Guangzhou, 510006, China; Corresponding author. School of Metallurgy and Materials, University of Birmingham, B15 2TT Birmingham, United Kingdom.School of Metallurgy and Materials, University of Birmingham, B15 2TT, Birmingham, United Kingdom; Materials Genome Institute, Shanghai University, Shanghai, 200444, China; Corresponding author. School of Metallurgy and Materials, University of Birmingham, B15 2TT Birmingham, United Kingdom.School of Chemical Engineering, University of Birmingham, B15 2TT, Birmingham, United KingdomSynchrotron Radiation Facility Division, Institute of Advanced Science Facilities, Shenzhen, 51800, ChinaSchool of Materials Science and Engineering, South China University of Technology, Guangzhou, 510641, ChinaSchool of Metallurgy and Materials, University of Birmingham, B15 2TT, Birmingham, United KingdomSchool of Materials Science and Engineering, South China University of Technology, Guangzhou, 510641, ChinaSchool of Physics and Astronomy, University of Birmingham, B15 2TT, Birmingham, United KingdomSchool of Metallurgy and Materials, University of Birmingham, B15 2TT, Birmingham, United KingdomDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, 999077, China; Corresponding author.School of Metallurgy and Materials, University of Birmingham, B15 2TT, Birmingham, United Kingdom; Corresponding author.In this study, the optimal laser powder bed fusion (LPBF) processing parameters for fabricating fully dense LaCe(Fe,Mn,Si)13 thin walls have been identified through a machine-learning approach based on the Gaussian process regression (GPR) model. All the specimens and components were fabricated using a continuous laser source. The relationship between the defect fraction of the fabricated thin wall and the line energy density (EL) and hatch (h) is established. The measured defect fraction of specimens fabricated using the validation data sets was very well in agreement with the predicted values of the GPR model, with an error of less than 1%. The microstructure of as-fabricated lattices is contained by α-Fe phases, LaFeSi phases, NaZn13-type phases, and the La/Ce/Si rich phases, which has an amorphous matrix embedded with nanocrystalline. The microstructure of the HTHed lattices presents the α-Fe phases, LaFeSi phases, and NaZn13-type phases. The diamond lattice has high heat exchange efficiency among the four lattices because of its large surface area (1577.1 mm2) and excellent thermal conductivity. Although the LPBF parameters are the same, the maximum isothermal magnetic entropy change (ΔSm) and Tc of the four samples differ. The X-ray powder diffraction test confirms that the HTHed Tube exhibits the highest volume of the NaZn13-type phase. The HTHed Tube saw ΔSm, about 1.63 J kg−1K−1 at 264.5 K. The ΔSm of HTHed Diamond around Tc (1.13 J kg−1K−1 at 219.5 K) is slightly higher than HTHed Gyroid (0.99 J kg−1K−1 at 250.5 K). Essentially, our work accelerates the search for optimal process parameters and guides the direction for lattice design of LaCe(Fe,Mn,Si)13.http://www.sciencedirect.com/science/article/pii/S2238785424028527Machine learningLaser powder bed fusion (LPBF)MicrostructureHeat exchange efficiencyX-ray powder diffractionAnd magnetocaloric performance |
| spellingShingle | Kun Sun Yuting Zhang Sheng Li Zhaohe Gao Xue Cao Ziling Peng Pengyan Huang Abd El-Moez A. Mohamed Zhigang Zheng Minki Jeong Yu-Lung Chiu Yang Lu Moataz M. Attallah Laser powder bed fusion processed LaCe(Fe, Mn, Si)₁₃ lattices for magnetic refrigeration: Process optimization, microstructure, and magnetocaloric performance Journal of Materials Research and Technology Machine learning Laser powder bed fusion (LPBF) Microstructure Heat exchange efficiency X-ray powder diffraction And magnetocaloric performance |
| title | Laser powder bed fusion processed LaCe(Fe, Mn, Si)₁₃ lattices for magnetic refrigeration: Process optimization, microstructure, and magnetocaloric performance |
| title_full | Laser powder bed fusion processed LaCe(Fe, Mn, Si)₁₃ lattices for magnetic refrigeration: Process optimization, microstructure, and magnetocaloric performance |
| title_fullStr | Laser powder bed fusion processed LaCe(Fe, Mn, Si)₁₃ lattices for magnetic refrigeration: Process optimization, microstructure, and magnetocaloric performance |
| title_full_unstemmed | Laser powder bed fusion processed LaCe(Fe, Mn, Si)₁₃ lattices for magnetic refrigeration: Process optimization, microstructure, and magnetocaloric performance |
| title_short | Laser powder bed fusion processed LaCe(Fe, Mn, Si)₁₃ lattices for magnetic refrigeration: Process optimization, microstructure, and magnetocaloric performance |
| title_sort | laser powder bed fusion processed lace fe mn si ₁₃ lattices for magnetic refrigeration process optimization microstructure and magnetocaloric performance |
| topic | Machine learning Laser powder bed fusion (LPBF) Microstructure Heat exchange efficiency X-ray powder diffraction And magnetocaloric performance |
| url | http://www.sciencedirect.com/science/article/pii/S2238785424028527 |
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