Machine Learning (DOE) Training Package, 4 projects by ANSYS Fluent
$1,200.00 Student Discount
- Ramjet Engine, Design and Combustion Optimization (SR-71 Blackbird)
- Combustion Chamber Performance Optimization, DOE
- Optimization of Shell & Tube Heat Exchanger with Baffle-Cut
- Optimization of a Compressor Cascade Using MOGA (BBD DOE & GA RSM)
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Description
Machine Learning (DOE) Training Package, 4 projects by ANSYS Fluent
The Machine Learning (DOE) Training Package by ANSYS Fluent is a comprehensive educational resource demonstrating the application of ANSYS Fluent software in modeling four distinct projects. The package includes the following four projects:
1. Ramjet Engine, Design and Combustion Optimization (SR-71 Blackbird)
In this simulation, an SR-71 Black Bird moving with a Mach number of 3.3 is simulated and optimized using the DOE method in ANSYS Workbench software.
2. Combustion Chamber Performance Optimization, DOE
the target of this project is to optimize the geometrical parameters of the combustion chamber for targets such as maximizing the value of heat generation rate while minimizing the amount of formed pollution via the DOE method.
3. Optimization of Shell & Tube Heat Exchanger with Baffle-Cut
we aim to find the optimal design of a shell and tube heat exchanger equipped with baffle cuts by increasing heat transfer while minimizing pressure drop, using ANSYS Workbench modules.
4.Optimization of a Compressor Cascade Using MOGA (BBD DOE & GA RSM)
This project is an optimization of a compressor cascade using the MOGA method. In this project, we have simulated a sectional compressor cascade at the first step.
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