Saman Hariri
CFD Expert
Experience
2020- Present
CFD Expert, Tahlilgarane Donyaye Sanaat Company, Tehran, Iran
- Evolving CFD models for cardiovascular diseases.
- Making grid alignment/registration of cloud points of vessels in a unified coordinate system.
- Utilizing high-performance parallel computing for numerical simulations.
- Producing CFD models based on FSI, applying porous media and deformation theory representative of the deterrent effects of coil and stent on cerebral aneurysms rupturing.
- Reducing CFD transient cost in predicting hemodynamics of cerebral aneurysms by machine learning.
2013 – 2020
Simulation Institute, Iran University of Science and Technology, Tehran, Iran
- Deriving CFD models for Nanofluid (ferrofluid) flows in magnetic fields in HVAC systems.
- Optimizing natural air conditioning in the architecture of rural houses by CFD tools.
- Collaborating with different engineering departments to fulfill the projects.
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Education
2010-2012.
M.Sc. Chemical Engineering, Iran University of Science and Technology, Tehran, Iran.
2005 – 2009.
B.Sc. Chemical Engineering, Razi University, Kermanshah, Iran.
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Publications
1- S. Hariri; S. H. Hashemabadi; S. Noroozi; A. Rostami, Analysis of Operational Parameters, Distorted Flow and Damaged Blade Effects on Accuracy of Industrial Crude Oil Turbine Flow Meter by CFD Techniques, Journal of Petroleum Science and Engineering. 127, 2015, 318 328
2- Mokhtari; S. Hariri; M. B. Gerdroodbary; R. Yeganeh, Effect of non-uniform magnetic field on heat transfer of swirling ferrofluid flow inside tube with twisted tapes, Chemical Engineering and Processing: Process Intensification. 117, 2017, 70-79
3- S. Hariri; M. Mokhtari; M. B. Gerdroodbary; K. Fallah, Numerical investigation of the heat transfer of a ferrofluid inside a tube in the presence of a non-uniform magnetic field, European Physical Journal Plus. 132, 2017, 65–79
4- M. Mokhtari; S. Hariri, Intensification of heat transfer rate in a rectangular channel equipped with pins, using non-uniform magnetic field, Journal of Nanofluids. 8, 2019, 1041-1050
5- S. Hariri; M. Mirzaei Poueinak; A. Hassanvand; M. Barzegar Gerdroodbary; M. Faraji, Effects of blood hematocrit on performance of endovascular coiling for treatment of middle cerebral artery (MCA) aneurysms: Computational study, Interdisciplinary Neurosurgery: Advanced Techniques and Case Management. 32, 2023, 1017-1029
6- A. Kheiri; S. Hariri; M. B. Gerdroodbary; M. Sorkhi; P. Valipour, A CFD-machine learning framework for efficient prediction of cerebral aneurysm hemodynamic under vessel dilation, Chinese Journal of Physics. 102, 2026, 748-767
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Research Interests
- Fluid Mechanics
- Computational Fluid Dynamics (CFD)
- Multiphase flows
- Turbulency
- Porous Media
- Nanofluid and ferrofluid flows
- Flow Meters
- CFD of Cardiovascular disease
- CFD and FSI of cerebral aneurysm
- Dynamic Mesh
- Machine Learning and Deep Learning
- Grid Alignment or Registration
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Computer Skills
- Gambit
- Ansys Fluent
- Ansys WorkBench
- SpaceClaim
- ICEM
- OpenFOAM
- Tecplot
- COMSOL
- MATLAB (m file)
- C++
- Fortran
- Python
- SolidWorks
- MATLAB
- Microsoft Office