READ ME File For 'Dataset in support of the thesis 'Experimental and Numerical Study of Surface Texturing for Low Power Combustion Engines''

Dataset DOI: 10.5258/SOTON/D2868

ReadMe Author: Peng Jiang, University of Southampton, ORCID ID https://orcid.org/0000-0002-7151-029X

This dataset supports the thesis entitled 'Experimental and Numerical Study of Surface Texturing for Low Power Combustion Engines'
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: 2023

DESCRIPTION OF THE DATA
The data encompasses a diverse range of information pertinent to Computational Fluid Dynamics (CFD) modelling, engine testing and modelling, and tribology testing data used for PhD research.
This dataset serves as a valuable resource, incorporating various experimental and numerical data points essential for studying surface texturing's impact on low-power combustion engines.

This dataset contains:
1) Basic 2D CFD models utilised for simulating ring/liner contact in the ANSYS FLUENT.
2) Cylinder pressure data collected by a Kistler 601A quartz high-pressure sensor in full scale engine testing and surface topography data for engine interfaces measured by Aliconn, used for engine RINGPAK modelling. 
3) CAD models developed in the SolidWorks for designing texture patterns on coupon.
4) Low speed and high speed data from TE77 testing, conducted on both ASP2023 and Cast Iron samples.
5) Surface analysis data from Alicona and SEM for samples under pre/post testing.

Date of data collection: 2018-2023

Information about geographic location of data collection: 

Licence:
CC-BY

Date that the file was created: 11/2023