https://github.com/byuflowlab/CCBlade.jl

Blade Element Momentum Method for Propellers and Turbines
https://github.com/byuflowlab/CCBlade.jl

aerodynamics aircraft bem bemt propeller rotor rotorcraft wind-turbine

Last synced: 3 months ago
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Blade Element Momentum Method for Propellers and Turbines

• Host: GitHub
• URL: https://github.com/byuflowlab/CCBlade.jl
• Owner: byuflowlab
• License: other
• Created: 2016-05-18T19:33:38.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2024-02-14T17:26:32.000Z (9 months ago)
• Last Synced: 2024-05-19T14:41:55.394Z (6 months ago)
• Topics: aerodynamics, aircraft, bem, bemt, propeller, rotor, rotorcraft, wind-turbine
• Language: Python
• Homepage:
• Size: 9.68 MB
• Stars: 51
• Watchers: 8
• Forks: 34
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.md
  • License: LICENSE.md

Awesome Lists containing this project

• open-sustainable-technology - CCBlade.jl - A blade element momentum method for propellers and turbines. (Renewable Energy / Wind Energy)

README

        
# CCBlade.jl

[![](https://img.shields.io/badge/docs-stable-blue.svg)](https://flow.byu.edu/CCBlade.jl/stable)

![](https://github.com/byuflowlab/CCBlade.jl/workflows/Run%20tests/badge.svg)

**Summary**: A blade element momentum method for propellers and turbines. 

**Author**: Andrew Ning

**Features**:

- Methodology is provably convergent (see  although multiple improvements have been made since then)

- Prandtl hub/tip losses (or user-defined losses)

- Glauert/Buhl empirical region for high thrust turbines

- Convenience functions for inflow with shear, precone, yaw, tilt, and azimuth

- Can do airfoil corrections beforehand or on the fly (Mach, Reynolds, rotation)

- Allows for flow reversals (negative inflow/rotation velocities)

- Allows for a hover condition (only rotation, no inflow) and rotor locked (no rotation, only inflow)

- Compatible with AD tools like ForwardDiff

**Installation**:

```julia

] add CCBlade

```

**Documentation**:

The [documentation](https://flow.byu.edu/CCBlade.jl/stable/) contains

- A quick start tutorial to learn basic usage,

- Guided examples to address specific or more advanced tasks,

- A reference describing the API,

- Theory in full detail.

**Run Unit Tests**:

```julia

pkg> activate .

pkg> test

```

**Citing**:

Ning, A., “Using Blade Element Momentum Methods with Gradient-Based Design Optimization,” Structural and Multidisciplinary Optimization, Vol. 64, No. 2, pp. 994–1014, May 2021. doi:10.1007/s00158-021-02883-6

**Python / OpenMDAO users**

In the `openmdao` folder there is a Python wrapper to this package to enable usage from [OpenMDAO](https://openmdao.org).  This wrapper was developed/maintained by Daniel Ingraham and Justin Gray at NASA Glenn.