Characterization of Geometry and Surface Texture of AlSi10Mg Laser Powder Bed Fusion Channels Using X-ray Computed Tomography
Channels manufactured by laser powder bed fusion have an inherent process-induced dross formation and surface texture that require proper characterization for design and process optimization. This work undertakes surface texture characterization of AlSi10Mg channels of nominal diameter sizes ranging...
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MDPI AG
2021-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/9/4304 |
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| author | Christopher G. Klingaa Filippo Zanini Sankhya Mohanty Simone Carmignato Jesper H. Hattel |
| author_facet | Christopher G. Klingaa Filippo Zanini Sankhya Mohanty Simone Carmignato Jesper H. Hattel |
| author_sort | Christopher G. Klingaa |
| collection | DOAJ |
| description | Channels manufactured by laser powder bed fusion have an inherent process-induced dross formation and surface texture that require proper characterization for design and process optimization. This work undertakes surface texture characterization of AlSi10Mg channels of nominal diameter sizes ranging from 1 mm to 9 mm using X-ray computed tomography. Profile parameters, including <i>Pa</i>, <i>Pz</i>, and <i>Pq</i>, were found to be interchangeable for qualitative characterization of surface texture variation. <i>Psk</i>, <i>Pvv</i>, and the fractal dimension could identify the presence of extreme dross and sintered particles on the measured profiles. A method for predicting the equivalent diameter of the unobstructed cross-sectional area (<i>D<sub>eq</sub></i>) was presented and its reduction was found to follow a logarithmic trend, as a function of channel length. An empirical model <i>Pa</i> (<i>β</i>, <i>D</i>), as a function of local angular position (<i>β</i>) and channel diameter (<i>D</i>), was demonstrated on a perfect channel geometry, resulting in well-predicted roughness and internal geometry. |
| first_indexed | 2024-03-10T11:34:49Z |
| format | Article |
| id | doaj.art-a117f832463e45e6931677880f7e1a8d |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T11:34:49Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a117f832463e45e6931677880f7e1a8d2023-11-21T18:59:05ZengMDPI AGApplied Sciences2076-34172021-05-01119430410.3390/app11094304Characterization of Geometry and Surface Texture of AlSi10Mg Laser Powder Bed Fusion Channels Using X-ray Computed TomographyChristopher G. Klingaa0Filippo Zanini1Sankhya Mohanty2Simone Carmignato3Jesper H. Hattel4Department of Mechanical Engineering, Technical University of Denmark, Produktionstorvet, Building 425, 2800 Lyngby, DenmarkDepartment of Management and Engineering, University of Padova, Stradella San Nicola 3, 36100 Vicenza, ItalyDepartment of Mechanical Engineering, Technical University of Denmark, Produktionstorvet, Building 425, 2800 Lyngby, DenmarkDepartment of Management and Engineering, University of Padova, Stradella San Nicola 3, 36100 Vicenza, ItalyDepartment of Mechanical Engineering, Technical University of Denmark, Produktionstorvet, Building 425, 2800 Lyngby, DenmarkChannels manufactured by laser powder bed fusion have an inherent process-induced dross formation and surface texture that require proper characterization for design and process optimization. This work undertakes surface texture characterization of AlSi10Mg channels of nominal diameter sizes ranging from 1 mm to 9 mm using X-ray computed tomography. Profile parameters, including <i>Pa</i>, <i>Pz</i>, and <i>Pq</i>, were found to be interchangeable for qualitative characterization of surface texture variation. <i>Psk</i>, <i>Pvv</i>, and the fractal dimension could identify the presence of extreme dross and sintered particles on the measured profiles. A method for predicting the equivalent diameter of the unobstructed cross-sectional area (<i>D<sub>eq</sub></i>) was presented and its reduction was found to follow a logarithmic trend, as a function of channel length. An empirical model <i>Pa</i> (<i>β</i>, <i>D</i>), as a function of local angular position (<i>β</i>) and channel diameter (<i>D</i>), was demonstrated on a perfect channel geometry, resulting in well-predicted roughness and internal geometry.https://www.mdpi.com/2076-3417/11/9/4304powder bed fusionAlSi10Mgcooling channelschannel characterizationX-ray computed tomographysurface texture analysis |
| spellingShingle | Christopher G. Klingaa Filippo Zanini Sankhya Mohanty Simone Carmignato Jesper H. Hattel Characterization of Geometry and Surface Texture of AlSi10Mg Laser Powder Bed Fusion Channels Using X-ray Computed Tomography Applied Sciences powder bed fusion AlSi10Mg cooling channels channel characterization X-ray computed tomography surface texture analysis |
| title | Characterization of Geometry and Surface Texture of AlSi10Mg Laser Powder Bed Fusion Channels Using X-ray Computed Tomography |
| title_full | Characterization of Geometry and Surface Texture of AlSi10Mg Laser Powder Bed Fusion Channels Using X-ray Computed Tomography |
| title_fullStr | Characterization of Geometry and Surface Texture of AlSi10Mg Laser Powder Bed Fusion Channels Using X-ray Computed Tomography |
| title_full_unstemmed | Characterization of Geometry and Surface Texture of AlSi10Mg Laser Powder Bed Fusion Channels Using X-ray Computed Tomography |
| title_short | Characterization of Geometry and Surface Texture of AlSi10Mg Laser Powder Bed Fusion Channels Using X-ray Computed Tomography |
| title_sort | characterization of geometry and surface texture of alsi10mg laser powder bed fusion channels using x ray computed tomography |
| topic | powder bed fusion AlSi10Mg cooling channels channel characterization X-ray computed tomography surface texture analysis |
| url | https://www.mdpi.com/2076-3417/11/9/4304 |
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