Computational Fluid Dynamics (CFD): Analysis of a Jet Engine

This project investigates the aerodynamic performance of a jet engine using Computational Fluid Dynamics (CFD). A complete 3D geometry of the jet engine was designed in SolidWorks, based on real-world engineering parameters and simplified for simulation. The model was then analyzed using SolidWorks Flow Simulation. The simulation assumed steady-state, compressible airflow. The goal was to visualize the flow behavior, calculate pressure ratios, examine the effects of turbulence, and generate contour plots and streamlines to understand internal flow patterns. CFD was found to be a powerful tool in examining internal flow features that are otherwise difficult to measure experimentally, enabling design insights and performance evaluations.

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Work Title Computational Fluid Dynamics (CFD): Analysis of a Jet Engine
Access
Open Access
Creators
  1. Syed Kazim Hasan
Keyword
  1. Penn State Mont Alto Academic Festival 2025
  2. Undergraduate Research
License CC BY 4.0 (Attribution)
Work Type Poster
Acknowledgments
  1. Faculty Mentor: Jacob Moore
Publication Date April 25, 2025
Related URLs
Deposited April 21, 2025

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Version 1
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  • Updated
  • Updated Keyword, Related URLs, Description, and 1 more Show Changes
    Keyword
    • Penn State Mont Alto Academic Festival 2025, Undergraduate Research
    Related URLs
    • https://montalto.psu.edu/academics/festival
    Description
    • This project investigates the aerodynamic performance of a jet engine using Computational Fluid Dynamics (CFD). A complete 3D geometry of the jet engine was designed in SolidWorks, based on real-world engineering parameters and simplified for simulation. The model was then analyzed using SolidWorks Flow Simulation. The simulation assumed steady-state, compressible airflow. The goal was to visualize the flow behavior, calculate pressure ratios, examine the effects of turbulence, and generate contour plots and streamlines to understand internal flow patterns. CFD was found to be a powerful tool in examining internal flow features that are otherwise difficult to measure experimentally, enabling design insights and performance evaluations.
    Publication Date
    • 2025-04-25
  • Updated Acknowledgments Show Changes
    Acknowledgments
    • Faculty Mentor: Jacob Moore
  • Added Creator Syed Kazim Hasan
  • Added 11 Computational Fluid Dynamics.pdf
  • Updated License Show Changes
    License
    • https://creativecommons.org/licenses/by/4.0/
  • Published
  • Updated