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Research in the area of computational hydrodynamics with applications on the prediction of performance and design of high-speed marine propulsors , modeling of cavitation , and wave/body interaction . Teaching: CE358: Introductory Ocean Engineering (Fall ‘09)
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Research in the area of computational hydrodynamics with applications on the prediction of performance and design of high-speed marine propulsors, modeling of cavitation, and wave/body interaction. • Teaching: • CE358: Introductory Ocean Engineering (Fall ‘09) • CE319F: Elementary Fluid Mechanics • CE397: Theory of Propulsors (NEW: + wind/tidal turbines -Spring’10) • CE380T: Computational Environmental Fluid Mechanics (tent. Spring ‘11) • CE380P: Boundary Element Methods (tent. Spring ‘12) Ocean Engineering Group/EWRE (8/25/09) Spyros A. Kinnas (Google: Kinnas Home Page) Professor and Director of OTRC’s UT Office (Offshore Technology Research Center) • Facilities: • Computational Hydrodynamics Laboratory (ECJ 8.502) with 2 computer clusters: an older one of 16-node 2-CPU each, and a new 16-node 2-Quad-core CPU each
Some recent marine propulsors … Contra-rotating props Podded prop
…and some water-turbines (used to generate energy from ocean currents)
Water-jet Propulsors Direction of boat
Axial Flow Water-jet Propulsor Inflow Stator Rotor
For high-speed propellers cavitation is often inevitable Tip vortex Sheet • Cavitation can accelerate erosion of blades, produce noise, or result in sudden loss of thrust • However, allowing for some cavitation can increase efficiency
Two methods to model flow Boundary Element Method (addressed in CE380P) Finite Volume Method (addressed in CE380T) • BEM can only deal with inviscid flow. The effects of viscosity are evaluated via coupling with integral boundary layer methods • FVM needs a very large number of cells to resolve boundary layer within acceptable accuracy
BEM vs. FVM(application to surface-piercing hydrofoil)Vinayan, PhD’09, UT/OEG • BEM takes 16 mins on a single processor • FVM (Fluent) takes 36 hours running parallel in 6 processors
Validation with Experiments: Surface-PiercingPropeller M841B Comparison of ventilation patterns
Model of water-jet pump performance(Sun, PhD ’08, UT/OEG) Torque on rotor vs. flow-rate
Prediction of performance of tidal turbines • Comparisons of the predicted thrust coefficient and power coefficient for varying TSR=wR/V Cthrust vs. TSR Cpower .vs. TSR
Floating Production systems for Storage and Offloading (FPSO) FPSO Hulls can suffer from excessive Roll Motions (periodic angular motions about the longitudinal axis)
Model of viscous flow around bilge keels and their effect on damping (Yu, PhD ’08, UT/OEG)
Model of viscous flow around bilge keels and their effect on damping (NS-2D/-3D: UT/OEG’s method)(Yu, PhD ’08, UT/OEG) Damping coefficient vs. roll frequency BEM is VERY INACCURATE in the case of roll
3 full-time GRAs (2 committed/ 1 available) • Computational methods (BEM/FVM) for the prediction of performance of marine propulsors (separated flows, leading edge vortex, cavitating flows, tip gap leakage flows, and 3-D boundary layer analysis on blades). Requires strong background in fluid mechanics, calculus, computer programming. Fall ’09 Opportunities in OEG: