Optical diagnostics and machine learning of gaseous fuel combustion in a heavy-duty diesel engine

A selected student will perform high-speed imaging diagnostics in a running optical diesel engine to which a new gaseous main fuel is injected. The engine is compatible with both hydrogen and natural gas, two most promising candidates for industrial decarbonisation. The student will post process the obtained high-speed flame images to obtain flame shape parameters as well as in-flame flow fields. These quantified info will be used to develop new flame features for machine learning with which crucial flame parameters responsible for high efficiency engine operation are found for enhanced fundamental understanding. The student is not expected to hold high academic score but needs to be passionate about engines, optical diagnostics and image post processing. Previous experience in optical engines and high-speed flame imaging is preferred. The student needs to demonstrate excellent communication skills - both spoken and written - and that s/he work effectively in a team environment. The student is expected to have a sincere interest in MPhil or PhD study.