READ ME File For 'Dataset to support the thesis 'Emissivity and resistivity of SLM 316L stainless steel''

Dataset DOI: 10.5258/SOTON/D2286

ReadMe Author: Christopher Ogunlesi, University of Southampton ORCID ID: 0000-0001-9078-1901                 

This dataset supports the thesis entitled 
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: 2022

DESCRIPTION OF THE DATA
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 manufactued 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. 



Date of data collection: February 2021 - June 2021

Information about geographic location of data collection: 

Licence:
CC-BY

Related projects/Funders:
EPSRC




Date that the file was created: June, 2022