Computational Fluid Dynamics. Department of Aerospace Engineering, IIT Bombay
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1 Computational Fluid Dynamics Department of Aerospace Engineering, IIT Bombay
2 Expertise Core CFD and CEM Algorithm development Hypersonics, internal and external flows Grid generation: IITZeus Particle methods Company: Zeus Numerix Systems and Engineering Visualization
3 People A. Chatterjee (Gas dynamics, CEM, MHD) J. C. Mandal (CFD algorithms) A. G. Marathe (Internal flow, combustion) Prabhu Ramachandran (Particle methods, visualization) G. R. Shevare (Grid Generation, Industrial CFD, founder member Zeus Numerix) Krish Sinha (Hypersonics, turbulence) K. Sudhakar (MDO, design optimization)
4 Research and development Tools & Algorithms developed Applications Spin-off: Zeus Numerix
5 CEM: electromagnetic scattering Computational Electromagnetic solver Profs. Chatterjee and Shevare Predict the EM scattering and RCS of arbitrary, complex 3D geometries Finite volume time domain technique (FVTD) Resolving material properties using higher order schemes Grid: IIT Zeus - structured, multi-block, volume grid along with surface modeling CPU time:???
6 Surface currents: Almond benchmark Surface grid Surface currents animation: 1.19 GHz, VV Polarization
7 Surface currents: Air intake 6 Ghz, horizontal polarization,φ=0 8 Ghz, vertical polarization,φ=0 Surface Current Distribution on Straight Cylindrical Cavity with Hub, Blades and Plate terminations
8 Surface currents on an aircraft
9 Surface currents: fighter aircraft Surface Currents at 68 degrees angle of incidence (HH polarization) Surface Currents at 90 degrees angle of incidence (VV polarization)
10 CFD algorithms (Prof. Mandal) New algorithm: Solution dependent weighted least square (SDWLS) Higher order reconstruction for FVM on unstructured grids A new implicit method for KVFS New formulation of energy relaxation methods for Hypersonic flows Unsteady flow on dynamic meshes Multi-grid convergence acceleration methods Pseudo-compressibility methods for incompressible flow with heat transfer
11 High resolution unstructured grid computations Second order accurate solution dependent weighted least square reconstruction (SDWLS) No limiters required Theory unifies existing limiters and allows for generation of new ones Comparison of results for shock reflection problem (right)
12 New algorithms (contd.) New implicit KVFS scheme Multigrid convergence acceleration
13 Energy relaxation method for Hypersonic flows Easy to extend a solver using perfect gas to compute real gas effects efficiently for inviscid/viscous equilibrium and non-equilibrium cases
14 Unsteady flow, dynamic meshes ALE formulation, gometric conservation laws Upto 650 times faster than conventional explicit schemes
15 Grid generation IIT Zeus Arbitrary 3D configurations Supports reading CAD surface data Fully functional GUI Surface modeling Structured, multi-block/unstructured/hybrid Visualization of solution on geometry
16 Grid generation examples Surface mesh for a radial compressor
17 CFD Expert Advanced fluid flow solver in 3D Developed and marketed by Zeus Numerix Full-featured GUI Built in pre and post processing Support for input from CAD data Structured multi-block/unstructured/hybrid Competes with the likes of Fluent, CFX etc.
18 CFDExpert Examples Simulation of flow inside a radial compressor
19 LES of an explosion
20 CFDExpert... athlines for flow past pickup truck (right) and jeep (bottom)
21 CFDExpert...
22 Hypersonic fluid flow In house code Non-equilibrium thermo chemistry Turbulence models for high-re Large scale parallel simulations CPU hours for 9 million points Apollo shaped vehicle Flown in 1965 Mach 16, U = 5 km/s 3D unsteady wake
23 Instantaneous temperature field
24 Particle methods: vortex method Vortex particles used to simulate fluid flow (Prabhu Ramachandran) Navier-Stokes fluid, incompressible, 2D Grid free, self-adaptive, unsteady flows Involves complex algorithms Adaptive Fast Multipole methods [O(N 2 ) O(N)] Accelerated higher order panel method Particle tracking with complex geometry Written in C++, wrapped to Python 10 CPU commodity Linux cluster (IITM) for high-res, desktop for low-res
25 High resolution simulations High resolution, initial transients for flow past impulsively started cylinder at Re=9500 Red dots: clockwise; Blue dots: anti-clockwise particles (each), 8 hours on 8 CPU Linux (P4) cluster at IITM
26 Complex unsteady flows (low-res) Flow past a complex shape particles, 5 hours on PIII (450 Mhz) Flow inside a mixer particles, 4 hours P4 (2.8 Ghz)
27 Visualization: MayaVi Open Source, BSD license Cross platform: *nix/win32/mac Developed by Prabhu Ramachandran (partially funded by Enthought Inc.) Written in Python, uses VTK for graphics SourceForge project: Supports structured and unstructured data Visualizes scalar, vector and tensor fields Support for volume rendering Interactively scriptable from Python Used world over
28 MayaVi Mach iso-contours in a four lobed mixer (made with MayaVi-1) MayaVi-2 showing streamlines and iso-surfaces
29 Zeus Numerix Pvt. Ltd. Incorporated as Pvt. Ltd. in July-Aug Incubated in IITB's Society for Innovation and Entrepreneurship (SINE) CFDTutor : GUI tool to learn CFD CFDExpert: End-to-end tool to solve complex CFD problems CEMExpert: Tool for CEM problems Backed by consultancy and expertise of IIT faculty Competing with Fluent, CFX, etc. The only entirely Indian CFD company Alliances with CDAC and TCS
30 Computational resources Galaxy.aero: 64 CPU Intel Xeon (3.2 Ghz, 2GB RAM per node) Cluster.aero: 18 CPU Intel P4 (1.6 Ghz, 1GB RAM per node) Brahma: 16 CPUs, Compaq HPC Alpha 160 (833 Mhz) Altix1: 7 CPU SGI Altix 350 Altix2 : 14 CPU SGI Altix 350 Param Padma (C-DAC, Bangalore)
31 Software resources In-house tools/codes IIT Zeus CFD Expert (Zeus Numerix ZNPL) CEM Expert (ZNPL) CFD Tutor (ZNPL) CFD/CEM/particle method codes MayaVi Commercial software tools PANAIR Fluent TecPlot ANSYS/NASTRAN CORE, DOOR (systems engineering) LMS Optimus
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