Optimization of Flow Geometry Using Fluent Adjoint Solver
Minimum pressure loss, maximum efficiency, and homogeneous flow fields
In this course, you will learn how to effectively apply tools available in Ansys CFD for shape optimization of your flow geometry. This training is offered as a 2-day course.
Duration
2 days
Prerequisites
Basic knowledge of Ansys Fluent
Software used
Ansys CFD
- Perform shape optimizations with the Fluent Adjoint Solver
- Select robust solver settings and an appropriate mesh-morphing method
- Simple implementation of automated flow optimization
- Practical exercises for different types of CFD tasks
Description
Whether in systems and process engineering, automotive development, or the aerospace industry, the optimization of basic external or internal flow geometry designs leads to energy savings and improved processes. Typical tasks that lend themselves to optimization are minimization of pressure loss in a flow, homogenization of a flow field, maximization of an efficiency or a heat transfer. In this course, you will learn – taking installation space limitations and other restrictions into account – how to optimize your design according to one or more objectives based on an existing flow simulation with the Adjoint Solver. You will also learn how to use the Adjoint Solver independently of automated shape optimization in order to gain important insights into the complex nature of flow phenomena.
You will learn how the solver works and how to define target quantities and restrictions. Additionally, you will receive numerous tips for robust solver settings and for selecting a suitable mesh-morphing method. You will apply your acquired knowledge in practical exercises on various types of CFD tasks. You will also learn how to use the solver independently of automatic optimization by showing sensitivities of the input quantities with respect to the target quantities. This course is designed for experienced Ansys Fluent users.
Detailed agenda for this 2-day training
Day 1
01 Optimization possibilities and the Adjoint Method
- Technical fields of application
- Optimization techniques
- Background to the Adjoint Method
- Workshop: Pressure Loss: 2D Pipe Flow
02 Fluid mechanics target quantities
- Types and definition
- Operations
- Postprocessing
- Workshop: Lift of an airfoil
03 Robust solver settings based on experience
- Discretization methods
- Solutions and stabilization
- Monitoring and calculation
- Workshop: Improving the performance of an airfoil
04 Evaluation and interpretation of sensitivities
- Advanced postprocessing, sensitivities
- Interplay of target quantities and sensitivities
- Workshop: 2D heat sink design (CHT)
Day 2
05 Shape optimization through mesh morphing
- Mesh morphing methods
- The right optimization space
- Optimization goals
- Workshop: 2D heat sink optimization with various morphing methods (CHT)
06 Consideration of installation space restrictions and automation
- Restriction methods in mesh morphing
- Automation of the optimization workflow
- Multi-objective optimization and addition of parameters
- Workshop: Automation of already known heat sink optimization (2D)
07 Independent development of a complete optimization workflow
- Workshop: Optimization of a 3D guide device
- Independent definition of the target quantities
- Selection of stable solver settings and a suitable morphing method
- Automation of the process
08 Revisiting geometry handling in SpaceClaim
- Reverse engineering from topology to geometry
- Methods, tips and tricks
- Workshop: Geometry reverse engineering based on the previously optimized guide device (3D)
Your Trainers
Malte Küper
Kevin Baur
Dr. Ing. Mickaël Gay
Placement in the CADFEM Learning Pathway
Participant data
Additional information
Commentary
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