Skip to main content

A lightweight lifting-line analysis library for the lazy aerodynamicist.

Project description

LazyLLT: A Lightweight Lifting-line Analysis Library

LazyLLT is a library for quickly calculating a wing's aerodynamic properties and their respective gradients using the Lanchester–Prandtl lifting-line theory. When not calculating gradients, LazyLLT can accurately compute a wing's aerodynamic properties in under a millisecond.

LazyLLT is "lazy" in two ways:

  1. An aerodynamic analysis can be done oftentimes in under 10 lines of code.
  2. No property or design variable gradient is computed until its value is queried.

For more information, please view the documentation.

Install

pip install lazyllt

Requires Python 3.10 or higher.

Example

Example of getting the lift coefficient of a wing with an elliptical chord distribution and linear twist (washout):

from lazyllt import LiftingLineModel, UnsweptWing

model = LiftingLineModel(num_coefficients=35)

wing = UnsweptWing(
    span=5,
    root_chord=1,
    alpha_0=-1
)


def elliptical(z, _):
    return (1 - z ** 2) ** 0.5


wing.set_taper_function(elliptical)
wing.parametric_taper()

wing.linear_twist(
    root_twist=1,
    tip_twist=0
)

model.add_wing(wing)
solution = next(model.solve())

print("Coefficient of lift:", solution.cl)

Note on Units

LazyLLT uses the meter-kilogram-second unit system for all physical values and properties. All user-facing methods and attributes represent angles in degrees unless specified. Most internal functions and attributes use radians for ease of calculation.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lazyllt-1.0.3.tar.gz (13.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lazyllt-1.0.3-py3-none-any.whl (10.7 kB view details)

Uploaded Python 3

File details

Details for the file lazyllt-1.0.3.tar.gz.

File metadata

  • Download URL: lazyllt-1.0.3.tar.gz
  • Upload date:
  • Size: 13.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for lazyllt-1.0.3.tar.gz
Algorithm Hash digest
SHA256 37c7e5443811612cecef8683c8f076cac28d423302e81228838c9849b113589f
MD5 0017b1288a680a69e73d59ee1abae988
BLAKE2b-256 12dfc6e3996925ee88db4723c2138de9597979c5f8941e869cbf6f1d84ac947a

See more details on using hashes here.

File details

Details for the file lazyllt-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: lazyllt-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 10.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for lazyllt-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 f90df64351ec40e2e1e043eef1bdff990d34dd6e53718fc285acf9134c2031f1
MD5 a1eeeb9a188abbf0d6771197f2c34bd4
BLAKE2b-256 f25bf0e2787913e534b81a63668677dced22d7d7d4698848f1fc57a9d0d6a67a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page