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Nasa Rotor 37
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Classroom Contents
Data-Centric Engineering in Aero-Engines - Pranay Seshadri, Cambridge
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- 1 Intro
- 2 Understanding efficiency
- 3 On temperature measurements
- 4 Individual temperature measurements
- 5 The road ahead for data-centric temperature measurements
- 6 Abstraction
- 7 Computational strategy
- 8 Geometry, parameterization and meshing
- 9 Flow physics simulations
- 10 Dimension reduction
- 11 Zonotopes
- 12 The inverse map
- 13 Flow capacity
- 14 Pressure ratio
- 15 Putting the pieces together
- 16 Different blades
- 17 Different operating points
- 18 Pedigree rules for manufacturing
- 19 Trusting computational simulations: aleatory perspective
- 20 Nasa Rotor 37
- 21 The challenges & strategies
- 22 Collaborators
