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Dataset for effects of rescanning parameters on densification and microstructural refinement of 316L stainless steel fabricated by laser powder bed fusion

Dataset for effects of rescanning parameters on densification and microstructural refinement of 316L stainless steel fabricated by laser powder bed fusion
Dataset for effects of rescanning parameters on densification and microstructural refinement of 316L stainless steel fabricated by laser powder bed fusion
Original data of plots in accepted manuscript submitted to Journal of Materials Processing Technology "Effects of rescanning parameters on densification and microstructural refinement of 316L stainless steel fabricated by laser powder bed fusion" https://doi.org/10.1016/j.jmatprotec.2022.117493
laser powder bed fusion, Wilson-Rosenthal equation, 316L stainless steel, heterogeneous microstructure, sub-grain cell size, density
University of Southampton
Liang, Anqi
25257f89-cc17-42b8-81ac-fbf89b37738e
Hamilton, Andrew
9088cf01-8d7f-45f0-af56-b4784227447c
Polcar, Tomas
c669b663-3ba9-4e7b-9f97-8ef5655ac6d2
Pey, Khee Siang
6236dcbd-2b18-4328-bd98-4f3a00d9ac83
Liang, Anqi
25257f89-cc17-42b8-81ac-fbf89b37738e
Hamilton, Andrew
9088cf01-8d7f-45f0-af56-b4784227447c
Polcar, Tomas
c669b663-3ba9-4e7b-9f97-8ef5655ac6d2
Pey, Khee Siang
6236dcbd-2b18-4328-bd98-4f3a00d9ac83

Liang, Anqi (2022) Dataset for effects of rescanning parameters on densification and microstructural refinement of 316L stainless steel fabricated by laser powder bed fusion. University of Southampton doi:10.5258/SOTON/D2084 [Dataset]

Record type: Dataset

Abstract

Original data of plots in accepted manuscript submitted to Journal of Materials Processing Technology "Effects of rescanning parameters on densification and microstructural refinement of 316L stainless steel fabricated by laser powder bed fusion" https://doi.org/10.1016/j.jmatprotec.2022.117493

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Figure_4 (a) Average width and (b) depth of single laser scan tracks with different linear energy densities and laser powers. - Dataset
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Figure_6 Cell size of single laser scan tracks with different linear energy density and laser power. - Dataset
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Figure_8 Predicted and measured depths of melt pools from single laser scans as a function of the linear energy density, P/v. - Dataset
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Figure_9 Cooling rate, G×R, expressed as a function of the linear energy density, P/v. - Dataset
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Figure_10 The experimentally measured cell size obtained with CL M2 printer and calculated cell size based on empirical equations are shown as a function of predicted cooling rate. - Dataset
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Figure_11 Density of five cubes produced via different processing parameters measured by both Archimedes method and optical microscopy. - Dataset
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Figure_13 Cell size for five cubes processed using parameter A1–A5, as indicated. - Dataset
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Figure_15 Optical micrograph measurements of local density at regions with 20 layers of rescanning in specimen A+B1, A+B2, A+B3 and A+B4 compared with a uniform sample processed with initial parameter A only. - Dataset
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Figure_18 Measured and predicted cell sizes for both initial scanning and rescanning regions using parameter A+B1, A+B2, A+B3, A+B4. - Dataset
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More information

Published date: 6 January 2022
Keywords: laser powder bed fusion, Wilson-Rosenthal equation, 316L stainless steel, heterogeneous microstructure, sub-grain cell size, density

Identifiers

Local EPrints ID: 453179
URI: http://eprints.soton.ac.uk/id/eprint/453179
DOI: doi:10.5258/SOTON/D2084
PURE UUID: a5fe3d99-adc4-4c2a-87f1-08292f77896a
ORCID for Anqi Liang: ORCID iD orcid.org/0000-0001-6574-5220
ORCID for Andrew Hamilton: ORCID iD orcid.org/0000-0003-4627-849X
ORCID for Tomas Polcar: ORCID iD orcid.org/0000-0002-0863-6287

Catalogue record

Date deposited: 10 Jan 2022 18:00
Last modified: 19 May 2023 01:51

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Contributors

Creator: Anqi Liang ORCID iD
Research team head: Andrew Hamilton ORCID iD
Research team head: Tomas Polcar ORCID iD
Contributor: Khee Siang Pey

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