READ ME File For 'Dataset for Extending fatigue life of industrial low-pressure FV566 turbine blades - Ben Cunningham'

Dataset DOI: https://doi.org/10.5258/SOTON/D2263

ReadMe Author: BENJAMIN MICHAEL DAVID CUNNINGHAM,, University of Southampton ORCHID ID: 0000-0002-2604-4242

This dataset supports the thesis entitled 'Extending fatigue life of industrial low-pressure FV566 turbine blades: Efficacy of a lifetime extension strategy to extend service life'
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: 2022

DESCRIPTION OF THE DATA

This dataset contains:
Microsoft Excel needed to view the data
Origin software used to create graphs 
The data in this dataset contains the original result values obtained through experimentation, analysis and literature sources used to create the graphs in the Thesis

Date of data collection: from 01/02/2018 to 01/04/2022

Information about geographic location of data collection: 50.935865, -1.394550 Various locations within Highfield Campus University of Southampton 

Licence:
CC-BY

Related projects/Funders:
Andrew Morris - EDF Energy
This study is financially supported by EDF Energy through the Engineering and Physical Sciences Research Council (EPSRC), UK (Grant EP/N509747/1). 

Related publication:
https://doi.org/10.5258/SOTON/T0044

Date that the file was created: June 2022