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

Dataset in support of the thesis 'Experimental and Numerical Study of Surface Texturing for Low Power Combustion Engines'
Dataset in support of the thesis 'Experimental and Numerical Study of Surface Texturing for Low Power Combustion Engines'
The dataset comprises a comprehensive array of information for PhD research entitled ‘Experimental and Numerical Study of Surface Texturing for Low Power Combustion Engines’. The data encompasses: 1) Basic 2D CFD models utilised for simulating ring/liner contact in the ANSYS FLUENT. 2) Cylinder pressure data from full scale engine testing and surface topography data from engine interfaces, used for numerical 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. 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.
Engine testing and modelling, CFD modelling, Tribology testing, Friction and wear
University of Southampton
Jiang, Peng
2dbc460b-c6fa-43d4-8840-ea8b5ad272af
Walker, John
b300eafd-5b0a-4cf5-86d2-735813b04c6f
Kahanda Koralage, Ranga Dinesh
6454b22c-f505-40f9-8ad4-a1168e8f87cd
UNSPECIFIED
Jiang, Peng
2dbc460b-c6fa-43d4-8840-ea8b5ad272af
Walker, John
b300eafd-5b0a-4cf5-86d2-735813b04c6f
Kahanda Koralage, Ranga Dinesh
6454b22c-f505-40f9-8ad4-a1168e8f87cd
UNSPECIFIED

Jiang, Peng (2023) Dataset in support of the thesis 'Experimental and Numerical Study of Surface Texturing for Low Power Combustion Engines'. University of Southampton doi:10.5258/SOTON/D2868 [Dataset]

Record type: Dataset

Abstract

The dataset comprises a comprehensive array of information for PhD research entitled ‘Experimental and Numerical Study of Surface Texturing for Low Power Combustion Engines’. The data encompasses: 1) Basic 2D CFD models utilised for simulating ring/liner contact in the ANSYS FLUENT. 2) Cylinder pressure data from full scale engine testing and surface topography data from engine interfaces, used for numerical 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. 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.

Archive
Thesis_Data.zip
Restricted to Repository staff only until 20 November 2024.
Available under License Creative Commons Attribution.
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thesis_readme.txt
Available under License Creative Commons Attribution.
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More information

Published date: November 2023
Keywords: Engine testing and modelling, CFD modelling, Tribology testing, Friction and wear

Identifiers

Local EPrints ID: 484965
URI: http://eprints.soton.ac.uk/id/eprint/484965
PURE UUID: 59617dba-3f18-4439-9ee7-c14d1dec3dcb
ORCID for Peng Jiang: ORCID iD orcid.org/0000-0002-7151-029X
ORCID for Ranga Dinesh Kahanda Koralage: ORCID iD orcid.org/0000-0001-9176-6834

Catalogue record

Date deposited: 27 Nov 2023 17:34
Last modified: 29 Nov 2023 10:25

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Contributors

Creator: Peng Jiang ORCID iD
Research team head: John Walker
Research team head: Ranga Dinesh Kahanda Koralage ORCID iD
UNSPECIFIED: UNSPECIFIED

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