Machine Learning (DOE) Training Package, 4 projects by ANSYS Fluent
Original price was: $1,380.00.$920.00Current price is: $920.00. 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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Ms. Jewel Schmeler Sr. –
The Machine Learning (DOE) Training Package really opened up a new dimension in computational analysis for me. As an engineer, being able to optimize my designs while understanding the effects of different parameters has been invaluable. The variety of projects included ensured a well-rounded grasp of different applications.
MR CFD Support –
Thank you for your positive feedback! We’re delighted to hear that you could leverage our Machine Learning (DOE) Training Package to optimize your engineering designs and get a holistic understanding of computational analysis applications across varied projects. Your success with these tools is exactly what we aim for with our training materials. If you have any more insights or experiences to share, or if you require further assistance in your future projects, please don’t hesitate to reach out.
Loma Luettgen Jr. –
I’m truly impressed with the diverse applications demonstrated in the Machine Learning (DOE) Training Package by ANSYS Fluent. Particularly, the focus on optimization strikes me as a powerful tool for improving designs in a wide range of engineering fields.
MR CFD Support –
Thank you for your feedback! We’re glad to hear that you find our Machine Learning (DOE) Training Package beneficial for demonstrating optimization techniques in various engineering applications. Your appreciation motivates us to continue creating useful and high-quality educational content.
Benny Schinner –
I recently completed the Machine Learning (DOE) Training Package with the four projects. Not only did I learn a great deal about optimization techniques in ANSYS Fluent, but I also gained practical skills by working on these diverse and complex simulations. This has been a significant value add to my CFD knowledge and I feel well-prepared for tackling similar problems in my field of work.
MR CFD Support –
Thank you for sharing your positive experience! We are thrilled to hear that our Machine Learning (DOE) Training Package has enriched your CFD knowledge and skills. It’s great to know that the diverse projects provided real practical benefits. We appreciate your feedback and hope our products will continue to contribute to your professional growth.
Maxine Wintheiser V –
The training package seems to offer a wide range of applications. Could you specify which types of machine learning algorithms are covered and their application within these ANSYS Fluent projects?
MR CFD Support –
In this training package, DOEs, MOGA, BBD, GA, and RSM are some examples of algorithms and methodologies explored. These are used for optimization and design exploration in the context of the simulated projects, dealing with aerodynamics, combustion, heat exchange, and compressor design.
Kaci Farrell –
The training on the Ramjet Engine optimization with SR-71 Blackbird was fascinating; the design details provided are thorough. Are there any prerequisites to understanding the concepts applied in these projects, such as a background in thermodynamics or fluid dynamics?
MR CFD Support –
Yes, a foundational understanding of thermodynamics, fluid dynamics, and computational fluid dynamics is beneficial for fully grasping the concepts applied in these projects. Familiarity with the principles of design optimization and machine learning methods will also enhance your comprehension and ability to follow along with the training package.
Marcellus Brown –
I successfully used the DOE method as discussed in the Machine Learning Training Package to optimize my own projects. The step-by-step tutorials were amazing and made complex topics easily understandable.
MR CFD Support –
Thank you very much for your positive feedback! We are glad to hear that the Machine Learning (DOE) Training Package has helped you with optimizing your projects and that you found the tutorials helpful. Should you need further assistance or have more questions, feel free to contact us.