Sandeep Kumar, C.Eng.(I)

CFD Engineer and Industry Consultant

*** ******** **. *******, **, USA

Webpage: http://gtsl.ase.uc.edu/T-AXI/

http://gtsl.ase.uc.edu/NAX/

LinkedIn: https://www.linkedin.com/in/sandeep-kr-

singh/

GitHub: https://www.github.com/aero29

Email: admtwu@r.postjobfree.com

Cell: +1-513-***-****

Summary

Innovative and performance driven experienced CFD engineer (8+ years) with acumen to deliver entrepreneurial business solutions, specialized in multi-phase 3D CFD/CAE aero-thermal analysis.

Project Lead and Engineering Consultant – Directed and collaborated with 10+ cross-functional and global OEM teams for product development on high-value projects (~ $ 100 M).

HPC experience with CFD analysis on peta-FLOPS level supercomputers - MARCONI-100 & GALILEO (Italy), and ARCC (UC, USA).

Core

Competence

Aero-Thermal analysis, Design Optimization, Product Design and Development, Data Driven product designing (ML)

CFD /FEA, MDO & DOE/DOCE – Monte Carlo/ Latin Hyper Cube, HPC, CFD development, turbomachines design and development.

CFD /

CAE

Experience

(8+ years)

CFD Software developer-II, Concepts NREC Aug’19 – Apr’21

Lead developer for aero- thermal design/analysis software, RITAL - for automotive, aerospace and O&G applications using multi-phase cryogenic working fluids (NIST library).

Pre/ post sales - Supported sales team on CFD product (RITAL) capability demonstration and conducted product development (turbocharger) activities throughout product sales cycle.

Performed Conjugate heat transfer calculations on radial turbine cooling thermal analysis.

Initiated and implemented a new product feature - enable design of “Mixed-Flow” type turbomachines and improved calculations for supersonic flow CFD analysis.

Improved solver capabilities for compressor design loss calculations in COMPAL and integrated with optimizer (TurboOPT/ Dakota - DOE), especially for Supercritical CO2 cycle designs.

Initiated benchmarking for validation/verification of CFD design cases in RITAL, and integrated workflow for Software product development cycle – CAD to manufacturing (Agile methodology). Researcher, Gas Turbine Simulation Laboratory, (UC / NASA N+3 design) Oct’16 - July’19

Lead UC design team on NASA-GRC/UC group and collaborated with 4 other NASA teams for design and testing of scale propulsor design.

Initiated and implemented through-flow (1D) and Quasi 3-D (also called 2.5-D) CFD solver capability on Aero-thermal calculations for rapid design/ analysis of propulsion unit.

Established and applied best design practices for multi-fidelity CFD/FEA tools on aircraft-engine configuration at 1-D/ 2.5-D/ 3-D(Unsteady) levels on system and component level.

Developed NAX : Python /Shell framework to design unique non-symmetric 3D aerodynamic blades on user specifications using Discrete Fourier Transform (DFT), analogous to unsteady CFD.

Developed automated framework for Design/Optimization (Multi-Objective) of non- axisymmetric 3D blades using inhouse and commercial CFD codes for - NASA propulsor unit (TCT).

Initiated and developed Reduced Order Surrogate Model (ROM) applying statistical methods like Monte Carlo Method and Latin Hyper Cube method for DOE/ UQ. Design Engineer and Consultant, Central Engg. Design Bureau (MECON Ltd.), IN Jul’ 12 Aug’ 16

Project Lead: managed 10+ cross functional teams – by issuing design assignments and conducting QA activities against techno-commercials of process turbo- designs for clients.

Pioneered the development of CFD analysis (ANSYS CFX) procedures of high thermal stress (150 C – 450 C) heavy-duty (approx. 10 MW) industrial compressors in multiphase flow domains.

Developed 3D parametric modelling and aero-mechanical stress analysis (ANSYS M-APDL (FEA)

/CHT) protocols for thermal stress calculations on compressor blades and protective coating. HPC

Experience

Developed a Python based multi-thread multi-core Neural Network (ANN) CFD framework on surrogate models as Baseline design in turbomachinery analysis and development.

Implemented hybrid parallel solution of Elliptical PDE (Poisson equation) using OpenMPI and OpenMP on an iterative solver with Successive Over Relaxation.

Experience in using SLURM manager to implement multi-node multi-core execution with load- balancing for CFD analysis on HPC cluster.

Learned and implemented GPU CUDA/C++ program for an in-house structured - mesh generation method/code on my own interest.

FEA

Application

Design Engineer and Consultant, Hyperloop UC (UC) Oct’16 - Aug’17 & Oct’18 – May’19

Assisted in mechanical brake designing and conducted FEA simulation using Explicit solver.

Developed the magnetic braking system for advanced Stage2- Hyperloop pod design.

Developed 3D FEA code for solution of steady state flows (CFD) and validated against ANSYS solver Education

MS, Aerospace Engineering, (GPA 3.9/4.0) University of Cincinnati, USA (2019) B. Tech, Mechanical Engineering, Indian Institute of Technology, IN (2012) Awards &

Accolades

Prestigious ASME - IGTI (International Gas Turbine Institute) Merit based Scholarship, 2018 - offered to only 10 nominees globally.

Recognized as “Contributor” by Gas Turbine Simulation Laboratory, Dept of Aerospace Engineering, University of Cincinnati - for development of multi-fidelity CFD /optimization system

(http://gtsl.ase.uc.edu/T-AXI/).

Scholarship (UGS) for Academic Excellence by Univ. of Cincinnati in 2016/17, 2017/18 & 2018/19.

Letter of Appreciation, by Director (Engineering) - MECON Limited for Contributions in Engineering Consultancy Services in 2014 and 2015.

Selected among top 1% of 400,000 candidates for IIT-JEE 08 ( Joint Entrance Exam). Computer

Skills

CFD : ANSYS (WB, Fluent, CFX), FINE-Turbo, StarCCM+, COMSOL FEA : ANSYS (Mechanical APDL, Modal Analysis, Static), ABAQUS Meshing : ANSYS (ICEM), AutoGrid, HyperMesh, In-house (Structured, Hyperbolic) HPC : Open-MPI, Open-MP, SLURM, CUDA/ C/F, Python- multithreading Optimization : Dakota, ANSYS- AIM & Design Xplorer, HEEDS Open-Source CAE : OpenFOAM, SU2, PyFR, CalculiX, Gmsh, Deal.II, NEK5000 Prog. Language : C/C++, FORTRAN 77/90, Python 2/3, Shell, MATLAB Publications

(Total - 8)

Kumar S, Turner M. G., Celestina M., Non-Axisymmetric Design-Optimization of Inlet Guide Vanes for a Fan with Inlet Distortion, Proceedings of GPPS Chania 2020 GPPS- CH-2020-0151, DOI: 10.33737/gpps20-tc-151.

Kumar S, Siddappaji K., Turner M. G., Celestina M., Aerodynamic Design System for Non-Axisymmetric Boundary Layer Ingestion Fans, Proceedings of ASME Turbo Expo 2018 GT2018-77042, pp. V02CT42A048.

Kumar S, A novel concept for Nonlinear Multi-disciplinary Aerodynamic design optimization, Aerospace Science and Technology, Elsevier, Vol.70(2017), pp. 626-635. Certifications High Performance Computing - Numerical methods for Parallel CFD, by CINECA High Performance Computing Department, Italy- 2020.

Advanced experimental techniques for Turbomachinery developments, by CNREC, USA, 2020. Professional

Services

Invited talks and presentations at various international conferences - GPPS, ASME .

Active peer reviewer for mechanical/ aerospace journals – including IMechE(UK), ASME-IGTI

(USA), JCMSE (Germany).

Mentoring – taught graduate level Turbomachinery course at UC to MS, PhD and GE employees.

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