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https://gitlab.com/lander-team/air-prop-simulation.git
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init
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190
.gitignore
vendored
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190
.gitignore
vendored
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@@ -0,0 +1,190 @@
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# Created by https://www.toptal.com/developers/gitignore/api/vscode,python,julia
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# Edit at https://www.toptal.com/developers/gitignore?templates=vscode,python,julia
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### Julia ###
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# Files generated by invoking Julia with --code-coverage
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*.jl.cov
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*.jl.*.cov
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# Files generated by invoking Julia with --track-allocation
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*.jl.mem
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||||
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||||
# System-specific files and directories generated by the BinaryProvider and BinDeps packages
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||||
# They contain absolute paths specific to the host computer, and so should not be committed
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deps/deps.jl
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deps/build.log
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deps/downloads/
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deps/usr/
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deps/src/
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# Build artifacts for creating documentation generated by the Documenter package
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docs/build/
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docs/site/
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# File generated by Pkg, the package manager, based on a corresponding Project.toml
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# It records a fixed state of all packages used by the project. As such, it should not be
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# committed for packages, but should be committed for applications that require a static
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# environment.
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Manifest.toml
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### Python ###
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# Byte-compiled / optimized / DLL files
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__pycache__/
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||||
*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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||||
MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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pytestdebug.log
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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doc/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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||||
#Pipfile.lock
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||||
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# poetry
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||||
#poetry.lock
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||||
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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||||
|
||||
# Celery stuff
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celerybeat-schedule
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||||
celerybeat.pid
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||||
|
||||
# SageMath parsed files
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||||
*.sage.py
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|
||||
# Environments
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# .env
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*.csv
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.vscode
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||||
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||||
.env/
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.venv/
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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pythonenv*
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|
||||
# Spyder project settings
|
||||
.spyderproject
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.spyproject
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||||
|
||||
# Rope project settings
|
||||
.ropeproject
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||||
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||||
# mkdocs documentation
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||||
/site
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||||
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||||
# mypy
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||||
.mypy_cache/
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.dmypy.json
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dmypy.json
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||||
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||||
# Pyre type checker
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||||
.pyre/
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||||
|
||||
# pytype static type analyzer
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||||
.pytype/
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||||
# operating system-related files
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*.DS_Store #file properties cache/storage on macOS
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||||
Thumbs.db #thumbnail cache on Windows
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||||
|
||||
# profiling data
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||||
.prof
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||||
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||||
|
||||
### vscode ###
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||||
.vscode/*
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||||
!.vscode/settings.json
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||||
!.vscode/tasks.json
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||||
!.vscode/launch.json
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||||
!.vscode/extensions.json
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||||
*.code-workspace
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||||
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# End of https://www.toptal.com/developers/gitignore/api/vscode,python,julia
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124
calcs.jl
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124
calcs.jl
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### A Pluto.jl notebook ###
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# v0.12.20
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using Markdown
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using InteractiveUtils
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# This Pluto notebook uses @bind for interactivity. When running this notebook outside of Pluto, the following 'mock version' of @bind gives bound variables a default value (instead of an error).
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macro bind(def, element)
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quote
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local el = $(esc(element))
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global $(esc(def)) = Core.applicable(Base.get, el) ? Base.get(el) : missing
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el
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end
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end
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# ╔═╡ 7d1e8730-81f7-11eb-0b4d-d7c878032280
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begin
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using Unitful
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using Roots
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using PlutoUI
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end
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# ╔═╡ d8461f50-833d-11eb-04f2-f9e262a97ba5
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md"## Air Compressor Thrust Calcs"
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# ╔═╡ 2a976cf0-833e-11eb-3892-03869a9b0acc
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html"<button onclick='present()'>present</button>"
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# ╔═╡ b0efd6c2-81f9-11eb-2aad-efc9bdd8c220
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@bind diam Slider(0.1:.1:6.5, default=.5)
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# ╔═╡ bc06c722-81fa-11eb-05ac-e38ac21ce27e
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@bind p Slider(15:6000, default=126)
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# ╔═╡ 99835750-81fe-11eb-3a7e-1132eb3cdd90
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@bind w Slider(.5:.25:20, default=5)
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# ╔═╡ a9f59000-81f7-11eb-15c0-4520acb6543f
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begin
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M = w*u"kg"
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P_amb = 1u"atm"
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P_c = p*u"psi"
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d_nozzle = diam*u"mm"
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a_nozzle = (pi/4)*d_nozzle^2
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γ = 1.4
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R = 287.05u"J/(kg * K)"
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T = 300u"K"
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burn_time = 5u"s"
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V = 68u"inch^3"
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end;
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# ╔═╡ 764dcf30-81fa-11eb-3155-559823202b8f
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md"Area of Nozzle: $(a_nozzle) | $(round(u\"inch^2\",a_nozzle, digits = 4))"
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# ╔═╡ b4a957a0-833e-11eb-1ca9-0d87d162790f
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md"Diameter of Nozzle: $(d_nozzle) | $(round(u\"inch\",d_nozzle, digits = 4))"
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# ╔═╡ a7bef990-81fa-11eb-3976-817c3e383e64
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md"Pressure of system: $(P_c)"
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# ╔═╡ b113c030-81fe-11eb-2042-776472e720ac
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md"Mass of Lander: $(M) | $(round(u\"lb\",M, digits = 2))"
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# ╔═╡ a9317cb0-81f7-11eb-26e5-95719252409b
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begin
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ve = sqrt((2 * γ / (γ - 1)) * R * T * (1 - P_amb / P_c)^((γ - 1) / γ)) |> u"m/s"
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ρ = P_c / (R * T) |> u"kg/m^3"
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ṁ = ρ * a_nozzle * ve |> u"kg/s"
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end;
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# ╔═╡ cf5b7030-846d-11eb-2f23-290624c7d684
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M_air = ρ*V |> u"kg"
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# ╔═╡ 2149b640-846e-11eb-262b-299ded0c61c5
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M_air / ṁ
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# ╔═╡ c57fe2d0-81f7-11eb-27d7-4b5c0520998d
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Thrust = ṁ * ve + a_nozzle * (P_c - P_amb) |> u"N"
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# ╔═╡ 213ef2c0-81fb-11eb-1425-15bfcf1dc14c
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volume_air = ṁ * burn_time / ρ |> u"inch^3";
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# ╔═╡ 9388c570-833d-11eb-3baa-758b5cb19065
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md"Air Needed: $(round(ustrip(volume_air/burn_time)*.004329,digits=3)) Gallon/s"
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# ╔═╡ e85b0e90-81fe-11eb-0dd5-0b3df376a4f7
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begin
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W_earth = 9.81u"m/s^2" * M |> u"N"
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W_moon = 1.623u"m/s^2" * M |> u"N"
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end;
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# ╔═╡ 57844480-833a-11eb-3a57-bf00cecde849
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md"Thrust to Weight Ratio Earth: $(Thrust/W_earth)"
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# ╔═╡ a5c735d0-833a-11eb-2bae-71ba4af6b3a1
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md"Thrust to Weight Ratio Moon: $(Thrust/W_moon)"
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# ╔═╡ Cell order:
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# ╟─d8461f50-833d-11eb-04f2-f9e262a97ba5
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# ╟─2a976cf0-833e-11eb-3892-03869a9b0acc
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# ╟─7d1e8730-81f7-11eb-0b4d-d7c878032280
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# ╟─764dcf30-81fa-11eb-3155-559823202b8f
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# ╟─b4a957a0-833e-11eb-1ca9-0d87d162790f
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# ╟─b0efd6c2-81f9-11eb-2aad-efc9bdd8c220
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# ╟─a7bef990-81fa-11eb-3976-817c3e383e64
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# ╠═bc06c722-81fa-11eb-05ac-e38ac21ce27e
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# ╟─b113c030-81fe-11eb-2042-776472e720ac
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# ╠═99835750-81fe-11eb-3a7e-1132eb3cdd90
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# ╠═a9f59000-81f7-11eb-15c0-4520acb6543f
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# ╠═a9317cb0-81f7-11eb-26e5-95719252409b
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# ╠═2149b640-846e-11eb-262b-299ded0c61c5
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# ╠═cf5b7030-846d-11eb-2f23-290624c7d684
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# ╠═c57fe2d0-81f7-11eb-27d7-4b5c0520998d
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# ╟─213ef2c0-81fb-11eb-1425-15bfcf1dc14c
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# ╠═9388c570-833d-11eb-3baa-758b5cb19065
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# ╟─e85b0e90-81fe-11eb-0dd5-0b3df376a4f7
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# ╟─57844480-833a-11eb-3a57-bf00cecde849
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# ╟─a5c735d0-833a-11eb-2bae-71ba4af6b3a1
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33
mqttTest.py
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33
mqttTest.py
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from datetime import datetime
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import pandas as pd
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from influxdb_client import InfluxDBClient, Point, WritePrecision
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from influxdb_client.client.write_api import SYNCHRONOUS
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import influxdb_client
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from tqdm import tqdm
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# You can generate a Token from the "Tokens Tab" in the UI
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token = "RKOjpFKD2e9EUy79rB6pQEYmgmKaGnMy-4hMDnQ_pamEbrrfsMhcP2LjU7ufTRBSyFtRBSKVW5RnET6wq6qOag=="
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org = "anson@ansonbiggs.com"
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bucket = "anson's Bucket"
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client = InfluxDBClient(
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url="https://westeurope-1.azure.cloud2.influxdata.com", token=token
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)
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write_api = client.write_api(write_options=SYNCHRONOUS)
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df = pd.read_csv("thrustdata.csv")
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ps = []
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for i, row in tqdm(df.iterrows(), total=len(df)):
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data = dict(row)
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ps.append(
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influxdb_client.Point("my_measurement")
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.tag("Thrust", "Test")
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.field("Thrust", data["Thrust"])
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.field("Pressure", data["Pressure"])
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.field("Time", data["Time"])
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.field("Mass", data["Mass"])
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)
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write_api.write(bucket=bucket, org=org, record=ps)
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59
thrust.jl
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59
thrust.jl
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using Unitful
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using DataFrames
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using Plots
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using UnitfulRecipes
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using Roots
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using CSV
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# Tank https://www.amazon.com/Empire-Paintball-BASICS-Pressure-Compressed/dp/B07B6M48SR/
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V = 90u"inch^3"
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P0 = 4500.0u"psi"
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Wtank = 2.3u"lb"
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Pmax = 100u"psi"
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Wsolenoid = 1.5u"kg"
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# Params
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d_nozzle = (1 // 16) * u"inch"
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a_nozzle = (pi / 4) * d_nozzle^2
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Poutmax = 800u"psi"
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# Universal Stuff
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P_amb = 1u"atm"
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γ = 1.4
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R = 287.05u"J/(kg * K)"
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T = 300u"K"
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# Setting up while loop
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t = 1.0u"s"
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P = P0 |> u"Pa"
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M = V * (P / (R * T)) |> u"kg"
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df = DataFrame(Thrust = 0.0u"N", Pressure = P, Time = t, Mass = M)
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ts = 0.001u"s"
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while M > 0.01u"kg"
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# while t < 30u"s"
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# Calculate what is leaving tank
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P = minimum([P, Pmax])
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ve = sqrt((2 * γ / (γ - 1)) * R * T * (1 - P_amb / P)^((γ - 1) / γ)) |> u"m/s"
|
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ρ = P / (R * T) |> u"kg/m^3"
|
||||
ṁ = ρ * a_nozzle * ve |> u"kg/s"
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||||
|
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Thrust = ṁ * ve + a_nozzle * (P - P_amb) |> u"N"
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# Calculate what is still in the tank
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M = M - ṁ * ts |> u"kg"
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P = (M * R * T) / V |> u"Pa"
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t = t + ts
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df_step = DataFrame(Thrust = Thrust, Pressure = P, Time = t, Mass = M)
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append!(df, df_step)
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end
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println("---------------------------\n\n\n\n")
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println("Total Impulse: ", sum(df.Thrust) * ts)
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println("Burn Time: ", t)
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println("Mass Total: ", Wtank + Wsolenoid + maximum(df.Mass))
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print(describe(df))
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||||
plot(df.Time, df.Thrust, title = "Thrust Over Time")
|
||||
CSV.write("thrustdata.csv", df .|> ustrip)
|
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