Professor Chris Wilson
PhD, CEng, FInstE, FRAeS

Professor
Director of Low Carbon Combustion Centre
Department of Mechanical Engineering
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD
UK
Telephone: +44(0)114 222 7832
Fax: +44(0)114 222 7890
email : c.w.wilson@sheffield.ac.uk
Areas of Research
Chris's research team is actively using modelling and experimental techniques to investigate fundamental and applied combustion technologies. These technologies range from the latest designs of aerospace propulsion (Pulse Detonation Engines) to schemes for energy from waste and the combustion of all kinds of fuels. The aim is to produce low carbon combustion technologies which are sustainable and reduce environmental impacts.
The team works with the government, helping to set and improve aerospace emission regulations and assess new projects such as the third runway at London Heathrow. Ongoing projects include being part of the EU funded network of excellence into Environmentally Compatible Air Transport Systems (ECATS).
The University is supporting the team to establish a new 11,000 sq.ft Energy and Power Technology Centre (EPTeC) to support Chris's group. The centre contains a range of facilities bridging the gap between fundamental research and full scale demonstration. EPTeC includes a 350kW fluidized bed pilot plant, a SOOkW furnace, a 300kw rotary kiln, solid oxide fuel cell capability and gas turbine combustion rigs.
Chris's team works closely with industry such as Rolls-Royce and the group is actively involved in working on issues such as future aviation fuels and lubricants. The Mechanical Engineering Department is host to engine simulators, which can evaluate aviation fuels and lubricants before they go on to be used by the industry.
Modelling work carried out by the team includes the use of genetic algorithms in the optimization of designs and the growth of chemical kinetic schemes to predict the performance of a range of fuels.
Chris's team works closely with industry such as Rolls-Royce and the group is actively involved in working on issues such as future aviation fuels and lubricants. The Mechanical Engineering Department is host to engine simulators, which can evaluate aviation fuels and lubricants before they go on to be used by the industry.
Modelling work carried out by the team includes the use of genetic algorithms in the optimization of designs and the growth of chemical kinetic schemes to predict the performance of a range of fuels.
Teaching
- MEC203 Thermodynamic Cycles and Heat Transfer
- MEC345 Aero Propulsion
Selected Publications
- Evolution of carbonaceous aerosol and aerosol precursor emissions through a jet engine,
Brundish, K. D., Clague, A. R., Wilson, C. W., Miake-Lye, R. C., Browne, R. C., Wormhoudt, J., Lukachko, S. P., Chobot, A. T., Yam, C. K., Waitz, I. A., Hagen, D. E., Schmid, O., and Whitefield, P. D. (2007),
Journal of Propulsion and Power, 23(5), pp. 959-970.
Online (journal subscription required)
- Optimization of a surrogate reduced aviation fuel-air reaction mechanism using a genetic algorithm,
Elliott, L., Ingham, D. B., Kyne, A. G., Mera, N. S., Pourkashanian, M., and Wilson, C. W. (2007),
Clean Air, 8(1), pp. 1-24.
Online (journal subscription required)
- A novel approach to mechanism reduction optimization for an aviation fuel/air reaction mechanism using a genetic algorithm,
Elliott, L., Ingham, D. B., Kyne, A. G., Mera, N. S., Pourkashanian, M., and Wilson, C. W. (2006),
Journal of Engineering for Gas Turbines and Power, 128(2), pp. 255-263.
Online (journal subscription required)
- Measurement of smoke particle size and distribution within a gas turbine combustor,
Brundish, K. D., Miller, M. N., Wilson, C. W., Jefferies, M., Hilton, M., and Johnson, M. P. (2005),
Journal of Engineering for Gas Turbines and Power, 127(2), pp. 286-294.
Online (journal subscription required)
- The use of ignition delay time in genetic algorithms optimisation of chemical kinetics reaction mechanisms,
Elliott, L., Ingham, D. B., Kyne, A. G., Mera, N. S., Pourkashanian, M., and Wilson, C. W. (2005),
Engineering Applications of Artificial Intelligence, 18(7), pp. 825-831.
Online (journal subscription required)
- Reaction mechanism reduction and optimization using genetic algorithms,
Elliott, L., Ingham, D. B., Kyne, A. G., Mera, N. S., Pourkashanian, M., and Wilson, C. W. (2005),
Industrial and Engineering Chemistry Research, 44(4), pp. 658-667.
Online (journal subscription required)
- An informed operator based genetic algorithm for tuning the reaction rate parameters of chemical kinetics mechanisms,
Elliott, L., Ingham, D. B., Kyne, A. G., Mera, N. S., Pourkashanian, M., and Wilson, C. W. (2004),
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3103pp. 945-956.
Online (journal subscription required)
- A novel approach to the optimization of reaction rate parameters for methane combustion using multi-objective genetic algorithms,
Elliott, L., Ingham, D. B., Kyne, A. G., Mera, N. S., Pourkashanian, M., and Wilson, C. W. (2004),
Journal of Engineering for Gas Turbines and Power, 126(3), pp. 455-464.
Online (journal subscription required)
- First gaseous Sulfur (VI) measurements in the simulated internal flow of an aircraft gas turbine engine during project PartEmis,
Katragkou, E., Wilhelm, S., Arnold, F., and Wilson, C. (2004),
Geophysical Research Letters, 31(2).
Online (journal subscription required)
- Properties of jet engine combustion particles during the PartEmis experiment: Particle size spectra (d > 15 nm) and volatility,
Nyeki, S., Gysel, M., Weingartner, E., Baltensperger, U., Hitzenberger, R., Petzold, A., and Wilson, C. W. (2004),
Geophysical Research Letters, 31(18).
Online (journal subscription required)
- Volatile particles formation during PartEmis: A modelling study,
Vancassel, X., Sorokin, A., Mirabel, P., Petzold, A., and Wilson, C. (2004),
Atmospheric Chemistry and Physics, 4(2), pp. 439-447.
Online (journal subscription required)
