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Performance optimization of a Kirsten–Boeing turbine by a metamodel based on neural[...]
Conclusions
The Kirsten–Boeing Turbine
Validation of the Simulation Environment
Experimental Environment and Measuring Equipment
Structure of the Simulation
Mesh Independent Solution
Setup–Mesh Movement
Setup—Domain Properties
Setup—Performance and Efficiency
Results of the Simulation
Study of the Basic Design Parameters
Parametric Geometry Creation
Setup—Parameter Study
Optimal Number of Blades
Optimization of the Blade Profile
Influence of the Blade Width
Metamodel Based Optimization of The Blade Shape
Geometry Creation
Meshing and Solver
Multilayer Perceptron with Tensorflow
Particle Swarm Optimization
Design of the Four Bladed Prototype
Sampling
Meshing and Solver
Results of the Optimization
Conclusions
Appendix A
References
Aufsatz in einer Zeitschrift
Performance optimization of a Kirsten–Boeing turbine by a metamodel based on neural networks coupled with CFD
Entstehung
2019
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