<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T19:03:56Z</responseDate><request verb="GetRecord" identifier="oai:www.repository.cam.ac.uk:1810/395581" metadataPrefix="uketd_dc">https://api.repository.cam.ac.uk/server/oai/request</request><GetRecord><record><header><identifier>oai:www.repository.cam.ac.uk:1810/395581</identifier><datestamp>2026-01-22T01:49:09Z</datestamp><setSpec>com_1810_213729</setSpec><setSpec>com_1810_256065</setSpec><setSpec>col_1810_219485</setSpec></header><metadata><uketd_dc:uketddc xmlns:uketd_dc="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:uketdterms="http://naca.central.cranfield.ac.uk/ethos-oai/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/ http://naca.central.cranfield.ac.uk/ethos-oai/2.0/uketd_dc.xsd">
   <dc:title>Modelling Gas Turbine Degradation</dc:title>
   <dc:identifier xsi:type="dcterms:DOI">https://doi.org/10.17863/CAM.125031</dc:identifier>
   <dc:creator>Lewis, Maximilian</dc:creator>
   <uketdterms:advisor>Dawes, Bill</uketdterms:advisor>
   <uketdterms:advisor>Atkins, Nicholas</uketdterms:advisor>
   <dcterms:abstract>In this thesis work will be presented which demonstrates the potential benefits and current
obstacles to the creation of a geometry morphing procedure for the computational simulation
of hot corrosion and related phenomenon in gas turbines using Reynolds-averaged Navier
Stokes (RANS) computational fluid dynamics (CFD) simulations.
Non-uniform distribution of gaseous species as a result of film coolant injection was
observed on a simple single hole test case. RANS simulation showed that the gas composition
along the centreline, downstream of a cooling hole injection site, is predominately determined
by the coolant gas composition for multiple cooling hole diameters downstream. This
observation, of interest when studying the rates of surface chemical reactions, persisted when
the same techniques where applied to an nozzle guide vane (NGV) cascade.
A simplified model for oxidation and hot corrosion of elemental nickel is suggested. This
model was used to drive a geometry morphing technique, based on a level-set geometry
representation, of an NGV cascade. The susceptibility of geometry deformation to surface
temperature and gas species concentration, being influential variable for hot corrosion,
suggests geometry-based feedback in similar scenarios.
The potential of highly data-driven hot corrosion modelling was also explored. As well
as predicting relative surface loss after a prescribed operational time, estimates of surface
roughness were performed. In locations on the model geometry susceptible to hot corrosion,
the predicted values for root mean squared roughness, between 30 µm and 48 µm, were
comparable with a representative values of 36 µm, obtained by Bons et al. (2001) through the
measurement of in-service turbine components suffering from hot corrosion. Peak to valley
roughness predictions displayed a similar agreement with published representative values.
Work was also performed on predicting material gain or loss in response to the erosion or
deposition of impacting particles over a range of particle sizes, temperature and velocities.
While particulate effects where not incorporated into the hot corrosion modelling, this is
another example of where the geometry morphing procedure used in this work could be
of use. The resulting particle impact distributions were qualitatively in line which other
published works demonstrated sensitivity to both particle size and softening temperature. However, the particle modelling was not quantitatively accurate and over-predicted particle
deposition by orders of magnitude.</dcterms:abstract>
   <uketdterms:institution>University of Cambridge</uketdterms:institution>
   <dcterms:issued>2025-04-30</dcterms:issued>
   <dc:type>Thesis</dc:type>
   <uketdterms:qualificationlevel>Doctoral</uketdterms:qualificationlevel>
   <uketdterms:qualificationname>Doctor of Philosophy (PhD)</uketdterms:qualificationname>
   <dc:language>eng</dc:language>
   <uketdterms:sponsor>EPSRC iCASE Siemens Industrial Turbomachinery Ltd.</uketdterms:sponsor>
   <dcterms:isReferencedBy xsi:type="dcterms:URI">https://www.repository.cam.ac.uk/handle/1810/395581</dcterms:isReferencedBy>
   <uketdterms:embargotype>embargo</uketdterms:embargotype>
   <uketdterms:embargodate>2027-01-21</uketdterms:embargodate>
   <dc:identifier xsi:type="dcterms:URI">https://www.repository.cam.ac.uk/bitstreams/59a338b6-251b-42c9-83a0-ce418c033c2a/download</dc:identifier>
   <uketdterms:checksum xsi:type="uketdterms:MD5">77dcf170f2d0655cd53fb14d259331c6</uketdterms:checksum>
   <dcterms:license>https://www.repository.cam.ac.uk/bitstreams/fd586de2-dd80-49e0-8ff8-0bbfa2a0e0a7/download</dcterms:license>
   <uketdterms:checksum xsi:type="uketdterms:MD5">87eda9de84448d1f82354d60eee3eb5f</uketdterms:checksum>
   <dc:rights>http://purl.org/NET/rdflicense/allrightsreserved</dc:rights>
   <dc:subject>cfd</dc:subject>
   <dc:subject>deposition</dc:subject>
   <dc:subject>erosion</dc:subject>
   <dc:subject>gas turbines</dc:subject>
   <dc:subject>hot corrosion</dc:subject>
</uketd_dc:uketddc>
</metadata></record></GetRecord></OAI-PMH>