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CFD Review Jobs Database - View Resume
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Resume Updated: 8 Apr 2015
Deepak Ramanath
deepak.narayan@gmail.com http://
Tel: +61-404243992 Fax:

Objective
An engineering professional with diverse background in aerospace, chemical and mechanical engineering areas in addition to extensive experience in computational fluid dynamics (CFD)
Employment History
CFD Engineer Jan 2014 -Till Date
Applied CCM Pty Ltd
Melbourne, Australia
Responsible for carrying out computational fluid dynamics (CFD) simulations using OpenFOAM solvers for various flow configurations. Additionally, I performed verification and validation for in-house algorithms, turbulence models and solvers on fundamental flow problems. Further, I have developed several grids/meshes using Pointwise and OpenFOAM's SnappyHexMesh for different configurations. Several of these were complemented with qualitative post-processing using FiledView and ParaView for 3D/2D configurations and quantitative plots using Gnuplot. Adding to the above, I was responsible for working on two unique projects that involved multi phase solver, interFOAM. One was on the review of classical kinematic tests and the other was dynamic meshing in multi phase flows. In addition to these, I was involved in evaluating solvers, utilities and models in OpenFOAM such as performing benchmark studies of various solvers and their behaviour on different operating systems, examining I/O operations between ASCII and binary. I was also involved in the development of cross-platform post-processing utilities for OpenFOAM and in-house code using Python. Highlights: - Carried out laminar validation studies involving both attached and separated flow configurations for pisoFOAM solver using OpenFOAM - Investigated fundamental laminar boundary layer prediction issues for in-house solver - Accomplished verification and validation of simpleFOAM solver for turbulent flows at low y+ grids using one/two equation turbulent models and extended to examine the wall functions - Investigated PCG and GAMG Linear Solver issues in OpenFOAM that affects serial and parallel computational performance - Acquired significant knowledge in using SnappyHexMesh and developed unstructured hexahedral meshes for various 2D and 3D geometric configurations - Performed extensive computational benchmarks for OpenFOAM and in-house codes on Red Hat Enterprise Linux (RHEL), Ubuntu, Mac OS-X and Windows platforms
Post Doctoral Fellow Jan 2012 - Dec 2013
University of New South Wales
Canberra, Australia
During my regime as a Research Associate, I was involved in the investigation of two projects. The recent one was on the design and optimisation of a hypersonic contoured nozzle for T-ADFA free-piston shock tunnel and the former was on the fundamental investigation of hypervelocity separated flows. Core responsibilities was to manage the research work and exploring the methodologies for simulating nozzle flow via CFD. Subsequent to this was to optimise the nozzle contour such that uniform flow exists. In the former, I was responsible in investigating hypersonic flow characteristics for a unique leading edge configuration. In addition, exploring new flow features under low and high enthalpy conditions and finally comparing with DSMC solutions and Chapman's theoretical estimates. Highlights: - Investigated thermo-chemical nonequilibrium modelling issues in the CFD code - Achieved CFD code coupling with evolutionary optimisation algorithm to carry out nozzle optimisation study - Performed nozzle optimisation with statistical criteria to achieve uniform flow - Successfully carried out CFD simulations over a leading-edge configuration - Estimated flow establishment time using time-accurate CFD calculations - Achieved grid-convergence using heat-flux, skin-friction and pressure distributions criteria, emphasising separation/reattachment and neck regions of the flow - Characterised T-ADFA shock-tunnel freestream flow by simulating hypersonic conical nozzle using thermo-chemical non-equilibrium conditions - Emphasised the solution difference between CFD and DSMC solutions - Demonstrated isentropic recompression theory of Chapman may not be adequate in hypersonic high enthalpy low Reynolds number flows
Research Assistant Nov 2010 - Jun 2011
University of New South Wales
Canberra, Australia
Responsible for investigation of flight evolution through insect flight aerodynamics. As a first step, the insect wing was represented as an elliptical air foil and a structured mesh was developed using ICEM-CFD's block meshing. Unsteady, time-accurate simulations were then performed representing flapping and hovering motions of the insect wing. Further, the influence of wind gust on lift and vortex formation and wake capturing mechanisms were studied. Highlights: - Generated a CAD model of elliptical air-foil representing insect wing plan-form - Carried out comprehensive grid-convergence and time-independence studies based on lift, drag and skin-friction for a number of flapping cycles - Simulated time-accurate calculations to investigate flapping and hovering mechanisms - Examined the wind gust influence on lift, vortex formation and wake capture
Education
PhD: Aerospace Engineering, The University of New South Wales (UNSW), Australia, Research Topic: Computational Studies of High Enthalpy Separated Flows

ME: Chemical Engineering, University of Canterbury, New Zealand, Research Topic: CFD & Mathematical Modeling & Simulation

BE: Chemical Engineering, VTU, India
Skills
Description Proficiency Experience
Aerospace design Advanced 1-2 Years
CFD analysis Advanced 2-3 Years
CAD modeling Advanced 2-3 Years
HVAC design Intermediate 1-2 Years
FORTRAN programming Intermediate 1-2 Years
Additional Skill Info
Grid generation: ANSYS-Mesh, ICEM-CFD, GAMBIT, ANSYS Turbogrid, Pointwise, SnappyHexMesh Pre-processors: ANSYS-CFX Pre, ANSYS-Fluent, ANSYS Blade-Modeler, Pointwise, SolidWorks Solvers: ANSYS-CFX Solver, ANSYS-Fluent, OpenFOAM, MB-CNS-2, Eilmer-3 Post/visualisation: FieldView, ParaView, Tecplot 360, ANSYS CFX Post Programming: Python, Matlab, Shell scripting, \LaTeXe, Sphinx Graphics/Plotting: Gnuplot, Python Plot (Matplotlib), Inkscape OS/tools: Linux, Mac OS X, Windows, Microsoft Office, Google Docs Revision control: BitBucket
References
Will be produced on request
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