Aerospace Engineer (Computational Fluid Dynamics)

Arnab Paul

New Delhi ************@*****.*** 760-***-**** https://www.linkedin.com/in/arnabpaul150/ SUMMARY

I am an Aerospace Engineer with one year of practical experience specializing in combustion Computational Fluid Dynamics (CFD) simulations. My expertise revolves around enhancing aerodynamic performance and conducting heat and thermal simulations for aircraft components, and other mechanical components.

SKILLS

Technical Skills: CFD - ANSYS (Fluent, CFX)

CAD - Catia V5

Programming – Python

GasTurb, Microsoft Office (Word, Excel, PowerPoint) PROFESSIONAL EXPERIENCE

INDIAN ARMOUR SYSTEMS PRIVATE LIMITED PALWAL, INDIA Project Engineer (Aerospace Research & Development) Feb 2023 till date

Accurate engineering calculations using code to generate engine parameters resulted in a 50%- time savings.

Investigated the parameters (thrust, temperature, exit velocity) to optimize the performance of 5+ CFD simulations, resulting in a 30% reduction in fuel consumption of the vehicle.

Increased the system efficiency through the development of analysis and performance optimization models.

INTERNSHIPS & INDUSTRIAL TRAINING

OM SPACE ROCKET & EXPLORATION PRIVATE LIMITED AHMEDABAD, INDIA Research Intern (Propulsion) Aug 2021 to Sep 2021

Spearheaded the evaluation of diverse electric pump fed engines, enhancing the understanding of their performance and efficiency, paving the way for informed implementation decisions.

Led a comprehensive study on the selection of Characteristic Length for Combustion Chambers, meticulously determining stay time, resulting in invaluable insights that significantly optimized combustion processes and overall engine performance. INDIAN INSTITUTE OF ENGINEERING SCIENCE & TECHNOLOGY SHIBPUR, INDIA Research Intern (Propulsion) Jun 2019 – Jul 2019

Experimental research in the flame propagation test rig in a closed system, utilizing stoichiometric concentrations of LPG and air.

Successful in achieving the highest flame speed at peak air flow rate, revealing a clear correlation between flame speed and decreasing air flow rate. This insight contributes valuable data for optimizing combustion systems.

EDUCATION

MASTERS – PROPULSION ENGINEERING MOSCOW, RUSSIA

Moscow Aviation Institute OCT 2020 – SEP 2022

BACHELOR OF TECHNOLOGY - AEROSPACE ENGINEERING CHENNAI, INDIA SRM Institute of Science & Technology JUL 2016 – JUN 2020 PROJECTS

Reduction of CO2 Emissions Through the use of Alternative Fuels 01 Feb 2021 – 28 Jun 2022

Utilized ANSYS CFX for numerical analysis, assessing CO and CO2 mass fractions with various aviation fuels (Jet A, Methane Air WGS, Propane Air WGS, Butane Air WGS).

Results highlight Methane Air WGS as the fuel with the lowest CO and CO2 emissions. Jet A ccl was the fuel is best overall suited for conducting the combustion analysis. Fuel Injector Design and Investigation for a Liquid-Propulsion Combustion Chamber 01 Feb 2021 – 08 Apr 2021

By using CFD (ANSYS Fluent) to set up various injection designs, such as altering the fuel injection system's pressure and impinging angle.

At high pressures, the ideal atomization was obtained, resulting in low particle diameter. Performance Enhancement of Vertical Axis Wind Turbines (VAWT) using Genetic Algorithm based Optimization of Blade Profile 26 Dec 2019 – 09 Jun 2020

Improved vertical axis wind turbine performance by developing and optimizing airfoil profiles via CFD (Ansys Fluent).

Applied Genetic Algorithm to generate and refine optimized airfoil designs for enhanced efficiency.

Material Selection and Characterization of High Turbine Inlet Temperature for a High-Pressure Turbine Blade (HPTR) 25 Jul 2019 – 14 Nov 2019

Conducted static structural analysis on turbine rotor blades, evaluating the impact of combustion chamber exhaust-induced loads.

Compared materials (Inconel 600, Inconel 754, Rene 41) using a rigorous material selection process, optimizing for service temperature, density, and Young's modulus. Identified Rene 41 as the most efficient turbine blade material through comprehensive load condition simulations and mesh independence studies.

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