Ir Dr Ooi , Jong Boon Senior Lecturer PhD , PEng , CEng , MIMechE |
Our fuel and combustion team focuses on developing optimum fuel blends from renewable sources like vegetable oils and agricultural waste and from non-biomass sources such as waste plastic and waste tires . We explore the viability and practicality of these fuels for combustion applications via droplet combustion experiments and engine experiments . We also investigate co-flow and counterflow diffusion flames of various fuels including hydrogen , methane , and biodiesel via experimental and simulation studies . |
Current available projects :
1 . Development of sustainable fuel blends incorporating biodiesel and low-quality bio-oils derived from biomass and non-biomass waste for light-duty diesel engine applications .
2 . Investigation of carbon-based nanoparticles as combustion improvers for pyrolytic oils from non-biomass waste using droplet combustion experiments .
3 . H2 addition evaluation study in counterflow diffusion flames .
|
Performance and emission tests on various fuel blends using diesel engine test bed . |
|
Research expertise : Sustainable Fuel Blend Optimization using Biomass and Non-Biomass Waste , Clean Combustion , Internal Combustion Engines , Flame Studies |
||||
E : ooi . jongboon @ monash . edu T : + 603 5514 6196 |
||||
Diffusion flame sheet formation using counterflow burner configuration . |
Droplet combustion experiment revealing micro-explosions . |
|
Dr Yeoh , Chin Vern Lecturer PhD , AMIMechE , Grad . Eng .
Research expertise : Computational Fluid Dynamics , Lattice-Boltzmann Methods , Turbulence , Multiphase Flows
E : yeoh . chinvern @ monash . edu T : + 603 5515 9699
|
The lattice-Boltzmann method ( LBM ) has gained significant attention in recent years as an alternative to traditional Navier-Stokes solvers in computational fluid dynamics . Instead of iteratively solving for the macroscopic conservation equations , the LBM employs a two-step loop where particle distributions move and collide on a discrete lattice , effectively recovering the Navier-Stokes equations under appropriate hydrodynamic limits . This mesoscopic approach has enabled applications in areas such as twophase flow , porous media , particle suspensions , and turbulence , enhancing its visibility in the CFD community . |
Our research focuses on the development and employment of the LBM to accurately address complex multiphysics transport problems . We aim to enhance the algorithm ' s universality and capability to solve challenging CFD applications . Current projects include exploring various methodologies , such as machine learning , to improve LBM efficiency , as well as applying the LBM to direct numerical simulations of bubble-induced turbulence and multiphase liquidvapour condensation . |
Convergence acceleration in the LBM using our proposed pressurewave initialization algorithm , applicable to all forms of collision operators and for both steady and unsteady flows .
Vorticity isosurfaces from our LBMbased direct numerical simulations of inhomogeneous , anisotropic turbulence generated by a fractal grid .
|