About Dr Matthew Cleary

I am passionate about thermofluids in general with specific interest in energy and low-emission combustion.

My research fits broadly within the energy disciplines. Specifically I have research involvement related to: i) turbulent combustion simulation; ii) modelling of coal gasification and CO2 capture; and iii) novel and advanced methods for numerical modelling of multi-phase flows.

I have over 12 years research experience in turbulent combustion modelling; including model development, numerical implementation and application. I have worked on the most advanced turbulent combustion models including conditional moment closure, multiple mapping conditioning and probability density function. Of particular note is the development of the sparse-Lagrangian multiple mapping conditioning method which has resulted in a massive reduction in computational cost thus making sophisticated modelling of engineering-scale combustors possible. In recent years I have extended these models to also encompass coal gasification and CO2 capture, spray combustion and solid particle dispersion. In addition to combustion the models are also being applied to biomedical flows.I have published widely in leading archival journals and have authored a major review on multiple mapping conditioning as a book chapter. My group collaborates with leaders in the field both within Australia and internationally. I have been a chief investigator on grants totalling in excess of $900,000.

Selected publications

Publications Selected publications
  1. Cleary, M.J. and Klimenko, A.Y., “Multiple Mapping Conditioning: a new modelling framework for turbulent combustion.” In Echekki, T. and Mastorakos, E. (Eds.), Turbulent Combustion Modelling. Advances, New Trends and Perspectives. Springer, 2011.
  2. Cleary, M.J. and Kent, J.H., "Modelling of species in hood fires by conditional moment closure", Combust. Flame 143, 357 – 368, 2005.
  3. Cleary, M.J. and Kronenburg, A., “Multiple mapping conditioning for extinction and reignition in turbulent diffusion flames”, Proc. Combust. Inst. 31, 1497 – 1505, 2007.
  4. Kronenburg, A. and Cleary, M.J., “Multiple mapping conditioning for flames with partial premixing”, Combust. Flame 155, 215 – 231, 2008.
  5. Cleary, M.J., Klimenko, A.Y., Janicka, J. and Pfitzner, M., “A sparse-Lagrangian multiple mapping conditioning model for turbulent diffusion flames”, Proc. Combust. Inst. 32, 1499-1507, 2009.
  6. Cleary, M.J. and Klimenko, A.Y., “A generalised multiple mapping conditioning approach for turbulent combustion”, Flow, Turbul. Combust. 82, 477-491, 2009.
  7. Vogiatzaki, K., Cleary, M.J., Kronenburg, A., and Kent, J.H., "Modeling of scalar mixing in turbulent jet flames by multiple mapping conditioning", Phys. Fluids 21, 025105, 2009.
  8. Ge, Y., Cleary, M.J. and Klimenko, A.Y., “Sparse-Lagrangian FDF simulations of Sandia Flame E with density coupling”, Proc. Combust. Inst. 33, 1401-1409, 2011.
  9. Cleary, M.J. and Klimenko, A.Y., “A detailed quantitative analysis of sparse-Lagrangian filtered density function simulations in constant and variable density reacting jet flows”, Phys. Fluids 23, 115102, 2011.
  10. Saulov, D.N., Chodankar, C.R., Cleary, M.J. and Klimenko, A.Y., “Coupling the porous conditional moment closure with the random pore model: Applications to gasifcation and CO2 capture”, Frontiers in Chemical Science and Engineering 6, 84-93, 2012.
  11. Islam, N. and Cleary, M.J., “Developing an efficient and reliable dry powder inhaler for pulmonary drug delivery - a review for multidisciplinary researchers”, Med. Eng. Phys., 34, 409-427, 2012.