You are entering the secure New College Portal, where:

  • Prospective residents can apply for membership of New College and NCV.
  • Current residents can renew their membership.
Continue to the Secure New College Portal
You are here:   New College Village »  Unsw Student Accommodation »  Ncv Researchers »  Muhammad Aqib Chishty From Pakistan – Phd. M...
 

NCV Researchers

Muhammad Aqib Chishty from Pakistan – PhD. Mechanical and Manufacturing Engineering

Aqib’s thesis is “Modelling of the health hazards particulates i.e. soot from the diesel engines and provide the better insight of soot and its process to the combustion community”. Aqib has lived at NCV for 1.5 years.

Muhammad Aqib Chishty from Pakistan – PhD. Mechanical and Manufacturing Engineering

 

The title of my thesis:Transported PDF Modelling of Soot-Radiation Turbulence Chemistry Interactions

Summary of my research:

Controlling the air pollution is a colossal challenge and one of the main source is emission of partially burned fuels i.e., soot from the diesel combustion engines. In this study, numerical simulations have been performed for diesel spray combustion with focus on the modelling of soot evolution. An n-dodecane spray (Spray A) is injected into high-pressure and high-temperature oxidiser at typical diesel engine conditions. Three methods of soot modelling are available, ranging from simple to complex, but each has its strengths and limitations. Previous studies on soot modelling were conducted using approximation on chemical source term, thermochemical states and reactants mixedness (i.e., important for premixed and non-premixed combustion). Due to this, the accurate prediction of soot is not possible. Present research will be conducted to fill this research gap by using the Transported Probability Density Function (TPDF) model in which these assumptions are not required and chemical source term appears in a closed form. Furthermore, this model does not require any separate modelling for combustion modes such as premixed and non-premixed flames. This model can also handle the limits of slow and fast chemistry. Initially, semi-empirical soot model is implemented using the TPDF approach in which radiations are also incorporated. This is a two equation model in which soot mass fraction and particle number density equations is solved. The rates of particle inception, surface growth of soot, coagulation and oxidation by OH and O2 are also considered separately. Later, it is extended to a detailed model for the precise prediction of soot. The basic aim is to model the soot particles accurately, in order to get the deeper insight of particulates (i.e., soot, sulphur oxides etc) which are discharging from the diesel combustion engines.

This study has the following academic/scientific merits:

1.      It explores in-depth information of soot and its processes in diesel engine at practical operating conditions.

2.      It also includes the effect of multiple injections on the transient of soot formation and oxidation.

3.      It involves the turbulence radiation interactions (TRI) effect on the soot formation

4.      It helps the combustion industry to control the health hazards particulates from the diesel engine.

Related publications:

1.      ECN3: Ignition delay, Lift-off Length and Flame lengths for Spray A, University of Michigan, Ann Arbour, USA, April, 2014.

2.      Chishty, M.A., Pei, Y., Hawkes, E.R., Bolla, M., and Kook., “Investigation of the flame structure of Spray-A using the transported probability density function”, 19th Australasian Fluid Mechanics Conference (AFMC), RMIT university, Melbourne, Australia, Dec, 2014. (Accepted)

3.      Chishty, M.A., Bolla, M., Pei, Y., Hawkes, E.R., and Lu, T., “Soot formation modelling of Spray A using a transported PDF approach”, JSAE, Kyoto, Japan, Sept, 2015. (Abstract accepted

 

< Previous          Next >