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        "author": "Andras Sobester",
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        "description": "![ADRpy](https://github.com/sobester/ADRpy/raw/master/docs/ADRpy/ADRpy_splash.png)\n\nAircraft Design Recipes in Python\n=================================\n\n[![PyPI version](https://badge.fury.io/py/ADRpy.svg)](https://badge.fury.io/py/ADRpy)\n[![Build Status](https://travis-ci.com/sobester/ADRpy.svg?branch=master)](https://travis-ci.com/sobester/ADRpy)\n\nA library of aircraft conceptual design and performance analysis tools, including\nvirtual (design) atmospheres, constraint analysis methods, propulsion system \nperformance models, conversion functions and much else.\n\nFor a detailed description of the library, please consult the\n[Documentation](https://adrpy.readthedocs.io/en/latest/). To get started,\nfollow the instructions below.\n\nauthor: Andras Sobester\n\nInstallation / Usage\n--------------------\n\nADRpy is written in Python 3 and tested in Python 3.4, 3.5, 3.5-dev, 3.6, 3.6-dev\nand 3.7-dev. It is not available for Python 2.\n\nOn most systems you should be able to simply open an operating system terminal\nand at the command prompt type\n\n    $ pip install ADRpy\n\nor\n\n    $ python -m pip install ADRpy\n\nNOTE: `pip` is a Python package; if it is not available on your system, download\n[get-pip.py](https://bootstrap.pypa.io/get-pip.py) and run it in Python by entering\n\n    $ python get-pip.py\n\nat the operating system prompt.\n\nAn alternative approach to installing ADRpy is to clone the GitHub repository, by typing\n\n    $ git clone https://github.com/sobester/ADRpy.git\n\nat the command prompt and then executing the setup file in the same directory by entering:\n\n    $ python setup.py install\n\n\nA 'hello world' example: atmospheric properties\n-----------------------------------------------\n\nThere are several options for running the examples shown here: you could copy and paste them \ninto a `.py` file, save it and run it in Python, or you could enter the lines, in sequence,\nat the prompt of a Python terminal. You could also copy and paste them into a Jupyter notebook\n(`.ipynb` file) cell and execute the cell.\n\n```python\nfrom ADRpy import atmospheres as at\nfrom ADRpy import unitconversions as co\n\n# Instantiate an atmosphere object: an ISA with a +10C offset\nisa = at.Atmosphere(offset_deg=10)\n\n# Query the ambient density in this model at 41,000 feet \nprint(\"ISA+10C density at 41,000 feet (geopotential):\", \n      isa.airdens_kgpm3(co.feet2m(41000)), \"kg/m^3\")\n```\n\nYou should see the following output:\n\n    ISA+10C density at 41,000 feet (geopotential): 0.274725888531 kg/m^3\n\nA design example: wing/powerplant sizing for take-off\n-----------------------------------------------------\n\n```python\n# Compute the thrust to weight ratio required for take-off, given\n# a basic design brief, a basic design definition and a set of \n# atmospheric conditions\n\nfrom ADRpy import atmospheres as at\nfrom ADRpy import constraintanalysis as ca\nfrom ADRpy import unitconversions as co\n\n\n# The environment: 'unusually high temperature at 5km' atmosphere\n# from MIL-HDBK-310. \n\n# Extract the relevant atmospheric profiles...\nprofile_ht5_1percentile, _ = at.mil_hdbk_310('high', 'temp', 5)\n\n# ...then use them to create an atmosphere object \nm310_ht5 = at.Atmosphere(profile=profile_ht5_1percentile)\n\n#====================================================================\n\n# The take-off aspects of the design brief:\ndesignbrief = {'rwyelevation_m':1000, 'groundrun_m':1200}\n\n# Basic features of the concept:\n# aspect ratio, engine bypass ratio, throttle ratio \ndesigndefinition = {'aspectratio':7.3, 'bpr':3.9, 'tr':1.05}\n\n# Initial estimates of aerodynamic performance:\ndesignperf = {'CDTO':0.04, 'CLTO':0.9, 'CLmaxTO':1.6,\n              'mu_R':0.02} # ...and wheel rolling resistance coeff.\n\n# An aircraft concept object can now be instantiated\nconcept = ca.AircraftConcept(designbrief, designdefinition,\n                             designperf, m310_ht5)\n\n#====================================================================\n\n# Compute the required standard day sea level thrust/MTOW ratio reqd.\n# for the target take-off performance at a range of wing loadings:\nwingloadinglist_pa = [2000, 3000, 4000, 5000]\n\ntw_sl, liftoffspeed_mpstas, _ = concept.twrequired_to(wingloadinglist_pa)\n\n# The take-off constraint calculation also supplies an estimate of\n# the lift-off speed; this is TAS (assuming zero wind) - we convert \n# it to equivalent airspeed (EAS), in m/s:\nliftoffspeed_mpseas = \\\nm310_ht5.tas2eas(liftoffspeed_mpstas, designbrief['rwyelevation_m'])\n\nprint(\"Required T/W and V_liftoff under MIL-HDBK-310 conditions:\")\nprint(\"\\nT/W (std. day, SL, static thrust):\", tw_sl)\nprint(\"\\nLiftoff speed (KEAS):\", co.mps2kts(liftoffspeed_mpseas))\n```\n\nYou should see the following output:\n\n    Required T/W and V_liftoff under MIL-HDBK-310 conditions:\n\n    T/W (std. day, SL, static thrust): [ 0.19618164  0.2710746   0.34472518  0.41715311]\n\n    Liftoff speed (KEAS): [  96.99203483  118.79049722  137.1674511   153.35787248]\n\n\nMore extensive examples - a library of notebooks\n------------------------------------------------\n\nClick on [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/sobester/ADRpy/master?filepath=/docs/ADRpy/notebooks) to open a library of examples recorded in Jupyter notebooks. You can play\nwith these 'live' in Binder, or you can click File / Download as / ... to create your own local \ncopy in any number of formats. [*Note: if you don't want to wait for Binder to generate the library,\nyou can still access the 'static' versions of the notebooks through nbviewer - click on the required\nnotebook in the lower half of the holding page.* ]\n\n\n",
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