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Dr Sina Haeri

James Weir Lecturer

James Weir Fluids Laboratory, Department of Mechanical and Aerospace Engineering,
University of Strathclyde, Glasgow G1 1XJ, UK


Dr Haeri is a Lecturer in the Mechanical and Aerospace Engineering department at Strathclyde University. He also is a member of Institute of Mechanical Engineers (MIMechE) and a Fellow of Higher Education Agency (FHEA). He is an expert in fluid flow computer simulations with application to dispersed flows. He has formal training both in Engineering (PhD University of Southampton, MSc with Distinction) and Computer Science (MSc with Distinction, University of Warwick). He has a track record in simulation of particulate and granular flows, turbulence modelling external flows. He has collaborations with DEM Solution and has previously worked with Victrex, Vestas UK and Rolls-Royce (through EPSRC Projects).

Selected publications

On the application of immersed boundary, fictitious domain and body-conformal mesh methods to many particle multiphase flows
S Haeri, JS Shrimpton

International Journal of Multiphase Flow, 40 (2012) 38–55

A new implicit fictitious domain method for the simulation of flow in complex geometries with heat transfer
S Haeri, JS Shrimpton

Journal of Computational Physics, 237 (2013) 21–45

An advanced synthetic eddy method for the computation of aerofoil–turbulence interaction noise
JW KIm, S Haeri

Journal of Computational Physics, 287 (2015) 1–17

On the reduction of aerofoil-turbulence interaction noise associated with wavy leading edges
JW Kim, S Haeri, P Joseph

Journal of Fluid Mechanics, 792 (2016) 526-552

Discrete element simulation and experimental study of powder spreading process in additive manufacturing
S Haeri, Y Wang, O Ghita, J Sun

Powder Technology, 306 (2017) 45–54

Development of inflow turbulence models and computational aero-acoustics. A simple shear flow simulation of rod-shaped particles (simulated by four overlapping spheres). Particles are initially at a homogeneous configuration (left) and then sheared with a constant shear rate (right). These simulations are used to investigate particle shape effects on their flowability. Each particle is coloured with the velocity magnitude of its centre of mass.

The VOF technique with adaptive mesh refinement (3D) used to investigate particle sintering. Red identifies the particle region and blue is the surrounding fluid (air). Here controlling the rate of neck growth is of particular interest.

Vortical structures of a typical synthetically generated turbulence impinging on the leading edge of a serrated flat-plate aerofoil. The structures are visualized using the Q-Criterion and coloured by the normalized pressure fluctuation. Note the sudden change in the colours on the top and bottom of the aerofoil which shows higher pressure fluctuations and indicates the generation of noise.

Powder Compaction In additive Manufacturing (In Collaboration with DEM Solution)
Research interests

Particle/fluid and granular (dry particle) flow systems are encountered in a wide spectrum of industrial and environmental applications ranging from pharmaceutical to aerospace industries to air pollution forecast and control. I investigate these systems at both fundamental and applied levels using high fidelity numerical simulations. To study the multi-physics and multi-scale phenomena that are encountered in these systems I use state-of-the-art research software and run simulations on national and local HPC facilities. I have also significant experience in development of turbulence models and aero-acoustics. I am currently working on the following projects.

  • Improvement of the Selective Laser Sintering Process (a type of 3D printing).
    I investigate the effects of the device (3D printer) operation parameters and particle characteristics on the integrity and quality of the final product. I use Discrete Element Method (DEM) and a highly versatile multi-sphere technique to understand the effects of particle morphology (shape and surface properties) on the microstructural behaviour of a population of flowing particles and to relate that to the macro-scale quantities such as the stress or the flowability. This will consequently result in the development of accurate constitutive models that incorporate the particle phenomena at the micro-scales which will make the simulation of these complex systems affordable for the industry.
    I am also interested in investigating the sintering process where particles fuse together as a result of an applied heat source which melts them at specific locations. I use a Volume of Fluid (VOF) technique to simulate the process in conjunction with an adaptive mesh refinement technique to manage the computational costs and to accurately track the interfaces.
  • Development of multi-scale, flow-particle simulation techniques.
    Computational resources are the main concern in applying numerical techniques to the particulate flow systems. A hierarchical simulation strategy is often employed to achieve a comprehensive description of such systems. I have developed a highly accurate and scalable Fully Resolved Simulation (RFS) framework to study particle-flow systems at high Reynolds numbers. Using this technique, the evolution of flow around each individual particle in a many-particle system can be captured to provide a detailed knowledge of the momentum (also heat and mass) transfer between the phases. This makes the simulation of these systems without any modelling assumptions possible. The particle collision, however, is understood to have a significant effect on the behaviour of dense particle-flow systems such as fluidised bed reactors at the bubbling regime or in pastes. Including accurate particle collision in a Fully Resolved simulation is challenging due to a significant disparity in particle collision and fluid flow time scales. The soft collision models used in DEM, however, are promising for resolving this issue while maintaining the high accuracy of the solver. Therefore, coupled Fully Resolved CFD/DEM code is being developed to address this issue.
  • Development of inflow turbulence models and computational aero-acoustics.
    I have significant experience in development of synthetic turbulent inflow conditions to manage the computational cost of the direct numerical simulation (DNS) of turbulent flows. I use these techniques to understand, control and reduce the noise generated when a turbulent flow interacts with a structure (for example an aerofoil).