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Kiran Siddappaji 230 Ludlow Ave, Apt. 2, Cincinnati, OH 45220 Cell: 513-728-1909 [email protected] SUMMARY More than 6 years of experience in multi-discipline design, analysis and testing in renewable energy conversion devices like wind turbines, hydrokinetic turbines, turbomachinery and other related areas using CAD, CFD, FEA, optimization and rapid prototyping techniques. Troubleshooting of complex systems with a proficiency in programming concepts. Understanding of complex flow physics, structural mechanics and numerical methods. EDUCATION PhD Aerospace Engineering 2015 (Expected) (All but Dissertation) 3.826/4.000 University of Cincinnati, USA. MS Aerospace Engineering 2012 3.729/4.000 University of Cincinnati, USA. B.Tech Mechanical Engineering 2008 7.870/10.000 Maulana Azad National Institute of Technology, India. SKILLS Skills Problem solving, decision making, negotiation, team player, highly adaptable, multitasking, troubleshooting, attention to detail. Operating Systems Microsoft Windows, DOS, Cygwin, Linux and MAC OS. Programming Languages Fortran77/90, Python, C/C++, HTML, Matlab, Git, Eclipse, Code::Blocks IDEs Computational Methods Numerical methods, analysis and algorithms, Finite Volume and Finite Element methods, 1D, 2D and 3D CFD solvers : Euler and Navier Stokes for structured meshes, Harmonic Balance and Chimera overset techniques for Discontinuous Galerkin Discretization. Design (CAD or otherwise) Pro-E Wildfire, SolidWorks, UniGraphics NX6 and above, AutoCAD, 3DBGB (self written), BEMT_windturbine (self written), Xrotor. CFD/Cycle Analysis Xfoil, QPROP, QMIL, Xrotor, T-AXI, GasTurb, MISES, Fine Turbo, Star-CCM+, Tecplot360, POINTWISE, Scripts (self written). FEA Analysis Xrotor, ANSYS Mechanical APDL, ANSYS WorkBench. Optimization DAKOTA: SOGA and MOGA techniques. Documentation Microsoft Office Suite, Open Office, Latex, LyX, Prezi. Graphic Design Photoshop CS 2 and above, Gimp, Krita, Sketchbook, Manga Studio. Sound Editing FruityLoops, Audacity. 1
Transcript

Kiran Siddappaji 230 Ludlow Ave, Apt. 2, Cincinnati, OH 45220 Cell: 513-728-1909 [email protected]

SUMMARY

• More than 6 years of experience in multi-discipline design, analysis and testing in renewable energy conversion devices like wind turbines, hydrokinetic turbines, turbomachinery and other related areas using CAD, CFD, FEA, optimization and rapid prototyping techniques.

• Troubleshooting of complex systems with a proficiency in programming concepts.• Understanding of complex flow physics, structural mechanics and numerical methods.

EDUCATION

PhD Aerospace Engineering 2015 (Expected)(All but Dissertation)

3.826/4.000 University of Cincinnati, USA.

MS Aerospace Engineering 2012 3.729/4.000 University of Cincinnati, USA.

B.Tech Mechanical Engineering 2008 7.870/10.000 Maulana Azad National Institute of Technology, India.

SKILLS

Skills Problem solving, decision making, negotiation, team player, highly adaptable, multitasking, troubleshooting, attention to detail.

Operating Systems Microsoft Windows, DOS, Cygwin, Linux and MAC OS.

Programming Languages Fortran77/90, Python, C/C++, HTML, Matlab, Git, Eclipse, Code::Blocks IDEs

Computational Methods Numerical methods, analysis and algorithms, Finite Volume and Finite Element methods, 1D, 2D and 3D CFD solvers : Euler and Navier Stokes for structured meshes, Harmonic Balance and Chimera overset techniques for Discontinuous Galerkin Discretization.

Design (CAD or otherwise) Pro-E Wildfire, SolidWorks, UniGraphics NX6 and above, AutoCAD, 3DBGB (self written), BEMT_windturbine (self written), Xrotor.

CFD/Cycle Analysis Xfoil, QPROP, QMIL, Xrotor, T-AXI, GasTurb, MISES, Fine Turbo, Star-CCM+, Tecplot360, POINTWISE, Scripts (self written).

FEA Analysis Xrotor, ANSYS Mechanical APDL, ANSYS WorkBench.

Optimization DAKOTA: SOGA and MOGA techniques.

Documentation Microsoft Office Suite, Open Office, Latex, LyX, Prezi.

Graphic Design Photoshop CS 2 and above, Gimp, Krita, Sketchbook, Manga Studio.

Sound Editing FruityLoops, Audacity.

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EXPERIENCE

September 2008 - Present Graduate Research Assistant,Gas Turbine Simulation Lab

University of Cincinnati, Cincinnati

• Currently working on “High Efficiency and Cost-Effective Hydrokinetic Turbines” as part of my PhD Dissertation. Simple cost model development and feasibility analysis for hydrokinetic turbines.

• Co-supervising a student in designing centrifugal diffuser as part of APOP 2015, a University level competition organized by Wright-Patterson Airforce Base, Dayton, Ohio.

• Design and analysis of renewable energy conversion devices like wind turbines and others using turbomachinery, CFD, FEA, CAD tools. 3D printed few designs in plastic and performed wind tunnel tests.

• CFD design and analysis of open rotors, propellers, centrifugal compressors, turbines and transonic rotors.• Co-supervised a graduate student in developing a general multidisciplinary turbomachinery design

optimization system applied to a transonic rotor extendable to other energy conversion devices.• Co-supervised a 13 member design project from concept to testing for extracting power from the

exhaust of a Jetcat P80-SE through novel nozzle design while maintaining the thrust as part of APOP 2014.• Worked on a DARPA STTR Funded Project (Phase 1) in collaboration with the company IllinoisRocstar (IR).

Designed an unsteady turbine behind a Pulse Detonation Engine by implementing a modular grid generator for a Discontinuous Galerkin Solver and Harmonic Balance method.

• Worked with an undergraduate student on creating maple seed geometry for 3D CFD simulations. Maple seed behaves like a wind turbine and the efficiency can be improved by mimicking it's design.

• Co-supervised a 10 member design-analysis project from concept to testing on Exhaust Driven Fan Design for Jetcat P80-SE Turbojet Engine for APOP 2013 and on Thrust Vectoring Device for APOP 2012.

• FEA and modal analysis of certain rotor blades using ANSYS APDL scripting for automatic meshing. • Worked on an MDAO (Multidisciplinary Design and Analysis Optimization) project for NASA. Design, 3D

CFD and modal analysis of a 10 stage compressor and Optimization of a 3-stage booster including CFD and FEA of the rotors were the objectives. 3D printed optimized designs in plastic.

• Designed novel blade shapes for turbomachinery systems using UG-NX, SolidWorks and 3DBGB. Modified a 1-D meanline and axisymmetric CFD code T-AXI for certain applications.

• Developed a parametric turbomachinery blade geometry generator (3DBGB) which can be a part of any automatic and optimization chain. It can handle a large variety of blade shapes including wind turbine blades. Assisted in writing grant proposals, wrote technical reports and presented research results at conferences.

August 2014 – PresentSeptember 2010 – May 2013

Graduate Teaching Assistant, School of Aerospace Systems

University of Cincinnati, Cincinnati

• Teaching Statics/Strength of Materials to undergraduate students, Turbomachinery Flows and other CFD applications to graduate students and as a grader.

June 2007 – July 2007 Project Intern, Fuel Injection Pump Division

Bosch Limited, Bangalore, India

• Worked on an ongoing project, ’Elimination of PF Plunger Top Face Grinding by Optimization of Prepart Dimension’. Notable work includes understanding of a process chain and increasing the cycle time and optimizing the production process experimentally and implementing non-destructive techniques.

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PUBLICATIONS AND PRESENTATIONS

1. Siddappaji, K. , and Turner, M. G., “Hydrokinetic Turbines: Design and Second Law of Thermodynamics”, will be presented at DCASS March 2015, Dayton. (Abstract accepted: Oral)

2. Srinivas, A. , Siddappaji, K., Turner, M. G., “Novel Split Tip Compressor Blade Design Study ”, will be presented at DCASS March 2015, Dayton. (Abstract accepted: Oral)

3. Siddappaji, K., Turner, M. G., “Counter Rotating Propeller Design using Blade Element Momentum Theory”, 22nd International Symposium on Air Breathing Engines (ISABE 2015), October 2015, Phoenix, Arizona, USA. (Extended Abstract Accepted : Oral and Paper)

4. Srinivas, A., Siddappaji, K., Turner, M. G., “Novel Compressor Blade Tip Design Study”, 22nd International Symposium on Air Breathing Engines (ISABE 2015), October 2015, Phoenix, Arizona, USA. (Extended Abstract Accepted : Oral and Paper)

5. Siddappaji, K., Turner, M. G., “Revolutionary Geometries of Mobile Hydro-kinetic Turbines for Wind Energy Applications”, Proceedings of ASME Turbo Expo 2015, Montreal, Canada, GT2015-42342, June 2015 (Accepted : Oral and Paper)

6. Siddappaji, K., Turner, M. G., “Revolutionary geometries of Mobile Hydro-kinetic Turbines for Renewable Energy Applications”, presented at 2nd International Conference and Exhibition on Mechanical and Aerospace Engineering, September 2014, Philadelphia, USA. (Oral)

7. Nemnem, A. F., Turner, M. G., Siddappaji, K., Galbraith, M., 2014, “A smooth curvature-defined meanline section option for a general turbomachinery geometry generator”, ASME Paper Number GT2014-26363, June 2014. (Oral and Paper)

8. Siddappaji, K. , Galbraith, M., Knapke, R. D., Turner, M. G., and Orkwis, P. D., “Rapid Unsteady Turbine Simulations Behind Pulse Detonation Tubes using the Harmonic Balance Method”, presented at DCASS March 2014, Dayton. (Oral)

9. Siddappaji, K. , Galbraith, M., Knapke, R. D., Turner, M. G., “General axisymmetric Solver for Turbomachinery”, Overset Symposium, October 2012. (Poster)

10. Siddappaji, K., Turner, M. G., and Merchant, A., 2012. “General capability of parametric 3D blade design tool for turbomachinery”. ASME Paper Number GT2012-69756, June 2012. (Oral and Paper)

11. Park, K., Turner, M. G., Siddappaji, K., Dey, S., and Merchant, A., 2011. “Optimization of a 3-stage booster part 1: The axisymmetric multidisciplinary optimization approach to compressor design”. ASME Paper Number GT2011-46569, June 2011. (Oral and Paper)

12. Siddappaji, K., Turner, M. G., Dey, S., Park, K., and Merchant, A., 2011. “Optimization of a 3-stage booster- part 2: The parametric 3d blade geometry modeling tool”. ASME Paper Number GT2011-46664, June 2011. (Oral and Paper)

13. Turner, M. G. , Park, K., Siddappaji, K., Dey, S., Gutzwiller, D. P., Merchant, A., and Bruna, D., 2010. “Framework for multidisciplinary optimization of turbomachinery”. ASME Paper Number GT2010-22228, June 2010. (Oral and Paper)

14. Siddappaji, K. and Turner, M. G., “Open rotors: Back to a Future”, presented at DCASS March 2010, Dayton on blade design, performance, CFD and acoustic analysis of open rotors. (Oral)

ACTIVITIES AND OTHER INTERESTS

• 2011-2013: Treasurer for the Aerospace Graduate Student Governance Association.• Travel, Traditional and Digital Sketching, Painting and Graphic Design.

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ADVANCED DEGREE RESEARCH WORK ABSTRACTS

PhD : High Efficiency and Cost-Effective Hydrokinetic TurbinesHigher speed winds over the oceans and lakes can be harnessed to produce electric power using a sail and para-sail driven hydrofoil boats equipped with hydrokinetic turbines (HKTs). An abundant source of renewable energy is feasible by harnessing the kinetic energy of moving water bodies using HKTs. The knowledge of wind-turbine design, turbomachinery and fluid dynamic principles of incompressible flow can be applied to design traditional and novel geometries of mobile HKTs. The process of dissipation of a part of the kinetic energy not extracted by the turbine into heat is explained. A second law of thermodynamics approach is used to assess the performance of the system. Local and/or global entropy production rate for the process is used as a quantitative measure of the irreversibilities in the process. A preliminary design is created using the Blade Element Momentum Theory (BEMT) which includes the Prandtl’s correction for blade tip losses and other model corrections for higher axial induction factors. The axial and angular induction factors are calculated using a reduced single equation with Brent’s method, taking into account the coefficient of lift and drag at a certain angle of attack for specific airfoils. Although BEMT does not account for the tip vortices and radial flow induced by the rotation, it provides a good initial geometry and can be parametrically modified using an in-house 3D blade geometry generator (3DBGB) and analyzed further using a 3D CFD analysis system. Different configurations such as unshrouded single row, counter rotating, nozzle-rotor, rotor-OGV, nozzle-rotor-OGV, nozzle-rotor-rotor, shrouded nozzle-rotor, nozzle-rotor-OGV, rotors with winglets are designed based on a suitable power requirement. Counter rotating designs are beneficial in extracting more power from the swirl coming out of the front rotor due to the rotation of the rear rotor in the opposite direction. The shrouded design uses a traditional axial turbomachinery approach using 1-D meanline and axisymmetric design-analysis tools (T-AXI suite). Novel OGV geometry with solidity varying spanwise is also explored to minimize the axial force on the turbine. Structural analysis of these shapes are crucial. A high fidelity design and analysis system for HKTs is demonstrated. The system is linked to an optimizer to obtain optimal blade shapes. A counter rotating design with increased efficiency is obtained as the optimum. The cost effectiveness of the device is also included in the optimization to obtain a feasible design and a low cost of energy of the complete system. The turbine blade designs presented will revolutionize wind energy harness technology.

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MS: Parametric 3D Blade Geometry Modeling Tool for Turbomachinery SystemsA design tool for generating 3D blades for various energy conversion devices, turbomachinery applications and renewable energy devices using a parametric approach has been developed. The tool can create a variety of 3D blade geometries based on only a few basic parameters and limited interaction with a CAD system. The geometric and aerodynamic parameters are used to create 2D airfoils and these airfoils are stacked on the desired stacking axis. The tool generates a specified number of 3D blade sections which can be lofted in a CAD package to obtain a solid 3D blade model, which has been demonstrated using Unigraphics-NX and Solidworks. The geometry modeler can also be used for generating 3D blades with special features like bent tip, split tip and other concepts, which can be explored with minimum changes to the blade geometry. The use of control points for the definition of splines makes it easy to modify the blade shapes quickly and smoothly to obtain the desired blade model. Blade shapes for axial turbomachines, radial turbomachines and wind turbines are generated to show the general capability of the tool. The tool is very flexible and can be included in any automated design-analysis optimization chain.

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