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Dataset to support the Southampton Doctoral thesis 'Emissivity and resistivity of SLM 316L stainless steel'

Dataset to support the Southampton Doctoral thesis 'Emissivity and resistivity of SLM 316L stainless steel'
Dataset to support the Southampton Doctoral thesis 'Emissivity and resistivity of SLM 316L stainless steel'
This data is the total hemispherical emissivity and resistivity for 316L stainless steel manufactured by SLM. The data was collected on 17 different samples, each manufactured using different combinations of SLM process parameters (build angle, laser power, scanning speed, hatch spacing and layer thickness). Details of the process parameters are in the PhD thesis. This dataset contains: Total hemispherical emissivity and resistivity data for 316L stainless steel 17 different samples.
University of Southampton
Ogunlesi, Christopher
d7a11918-d503-4df7-9bd3-1fca49f4d01b
Hamilton, Andrew
9088cf01-8d7f-45f0-af56-b4784227447c
Ogunlesi, Christopher
d7a11918-d503-4df7-9bd3-1fca49f4d01b
Hamilton, Andrew
9088cf01-8d7f-45f0-af56-b4784227447c

Ogunlesi, Christopher (2022) Dataset to support the Southampton Doctoral thesis 'Emissivity and resistivity of SLM 316L stainless steel'. University of Southampton doi:10.5258/SOTON/D2286 [Dataset]

Record type: Dataset

Abstract

This data is the total hemispherical emissivity and resistivity for 316L stainless steel manufactured by SLM. The data was collected on 17 different samples, each manufactured using different combinations of SLM process parameters (build angle, laser power, scanning speed, hatch spacing and layer thickness). Details of the process parameters are in the PhD thesis. This dataset contains: Total hemispherical emissivity and resistivity data for 316L stainless steel 17 different samples.

Archive
Emissivity_and_Resistivity_data.zip - Dataset
Available under License Creative Commons Attribution.
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Text
thesis_readme.txt - Other
Available under License Creative Commons Attribution.
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More information

Published date: 2 July 2022
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Identifiers

Local EPrints ID: 467766
URI: http://eprints.soton.ac.uk/id/eprint/467766
DOI: doi:10.5258/SOTON/D2286
PURE UUID: ab714bba-4da0-48db-b944-1db35fb8e840
ORCID for Andrew Hamilton: ORCID iD orcid.org/0000-0003-4627-849X

Catalogue record

Date deposited: 21 Jul 2022 17:07
Last modified: 06 May 2023 01:54

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Contributors

Creator: Christopher Ogunlesi
Research team head: Andrew Hamilton ORCID iD

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