Abstract
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.
© 2024 The Authors.
© 2024 The Authors.
| Original language | English |
|---|---|
| Pages (from-to) | 297-310 |
| Journal | Journal of Materials Research and Technology |
| Volume | 34 |
| Online published | 5 Dec 2024 |
| DOIs | |
| Publication status | Published - Jan 2025 |
| Externally published | Yes |
Funding
Kun Sun would like to thank the China Scholarship Council and the University of Birmingham for co-funding his PhD project. The authors would like to thank the Centre for Electron Microscopy in the University of Birmingham. This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) through grant no. EP/ V028774/1.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Research Keywords
- And magnetocaloric performance
- Heat exchange efficiency
- Laser powder bed fusion (LPBF)
- Machine learning
- Microstructure
- X-ray powder diffraction
Publisher's Copyright Statement
- This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/
Fingerprint
Dive into the research topics of 'Laser powder bed fusion processed LaCe(Fe, Mn, Si)₁₃ lattices for magnetic refrigeration: Process optimization, microstructure, and magnetocaloric performance'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver