CFD analysis of NASA Rotor 37 and performance prediction
What you'll learn
- Understand aerodynamics of Rotor 37 in axial compressors.
- Master CFD techniques for rotorcraft and gas turbine applications.
- Evaluate key performance metrics for axial compressor design.
- Optimize Rotor 37 performance using advanced CFD simulations.
Requirements
- Fluid Mechanics Knowledge: Understanding of fundamental concepts such as fluid dynamics, boundary layers, and aerodynamics.
- Aerospace or Mechanical Engineering Background: Basic knowledge of rotorcraft aerodynamics or gas turbine engines would be beneficial.
- ANSYS 2023 R2 Professional version should be installed on your computer prior to starting the course.
- Proficiency with ANSYS CFX: Experience using ANSYS CFX software for setting up and running simulations.
Description
Explore the intricate realm of Computational Fluid Dynamics (CFD) through this advanced course focused on predicting the performance of axial compressors. Axial compressors play a critical role in various industries, including aerospace, energy, and manufacturing, where efficiency and performance optimization are paramount.
Course Highlights:
Fundamental Principles: Gain insights into the aerodynamic principles governing axial compressors, including blade design, flow dynamics, and performance metrics.
CFD Modeling Techniques: Learn advanced techniques to model complex flow phenomena within axial compressors using ANSYS CFX.
Performance Parameters: Analyze and predict key performance parameters such as pressure distribution, efficiency curves, and stall characteristics.
Hands-on Experience: Engage in practical sessions where you will set up CFD simulations, refine meshing strategies, optimize solver settings, and interpret detailed CFD results.
Key Learning Objectives:
Understand the fundamental aerodynamic principles specific to axial compressors.
Master ANSYS CFX for setting up and running CFD simulations of axial compressors.
Analyze and interpret critical performance metrics to optimize compressor efficiency and performance.
Apply advanced CFD techniques to refine meshing strategies and optimize solver settings for accurate predictions.
Target Audience:
This course is designed for engineers, researchers, and professionals in aerospace, mechanical engineering, and related fields who are involved in the design, analysis, and optimization of axial compressors. Graduate students seeking to deepen their knowledge in CFD applied to turbomachinery will also benefit greatly from this course.
Prerequisites:
Participants should have a solid understanding of fluid mechanics, basic knowledge of Computational Fluid Dynamics (CFD) principles, and familiarity with ANSYS CFX software. A background in aerospace or mechanical engineering is recommended but not required.
This course equips participants with advanced skills in CFD analysis tailored specifically for optimizing axial compressors, ensuring they are well-prepared to tackle real-world challenges in compressor design and performance prediction.
Who this course is for:
- Engineers and Scientists: Professionals involved in aerodynamics, aerospace engineering, or mechanical engineering who want to deepen their understanding of Computational Fluid Dynamics (CFD) as applied to rotorcraft or gas turbine engines.
- Graduate Students: Those pursuing advanced studies in aerospace or mechanical engineering with an interest in CFD simulations and aerodynamic analysis.
- Researchers: Individuals engaged in research related to aerodynamics, rotorcraft, or gas turbine engines who seek to apply CFD techniques to their work.
- Professionals in Industry: Engineers working in industries such as aerospace, aviation, or energy, where knowledge of CFD for rotor performance prediction is beneficial.
- Enthusiasts: Individuals passionate about rotorcraft technology and interested in learning how CFD can predict and optimize rotor performance.
Instructor
My name is Sijal Ahmed. And I am in CFD field since 2005 when I finished my studies in same field from one of the top university in Pakistan. I have passion for CFD and I want to spread this knowledge to students who are just starting their career.
I have developed many courses on computational fluid dynamics and taught many students online and class room based training. You can contact me for online classes and consultancy.