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https://gitlab.com/lander-team/air-prop-simulation.git
synced 2025-07-23 06:31:37 +00:00
added monte carlo simulation
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54
thrust.jl
54
thrust.jl
@@ -1,37 +1,42 @@
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using Unitful
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using DataFrames
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using Plots
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# using Gadfly
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using UnitfulRecipes
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using Roots
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using CSV
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using MonteCarloMeasurements
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unsafe_comparisons(true)
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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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V = (85 ± 5)u"inch^3"
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P0 = (4200.0 ± 300)u"psi"
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Wtank = (2.3 ± 0.2)u"lb"
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Pmax = (100 ± 5)u"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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d_nozzle = ((1 // 16) ± 0.001)u"inch"
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a_nozzle = (pi / 4) * d_nozzle^2
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Poutmax = 800u"psi"
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Poutmax = (800 ± 50)u"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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P_amb = (1 ± 0.2)u"atm"
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γ = 1.4 ± 0.05
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R = 287.05u"J/(kg * K)"
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T = 300u"K"
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T = (300 ± 20)u"K"
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# Setting up while loop
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t = 1.0u"s"
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t = 0.0u"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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# df = DataFrame(Thrust = (0 ± 0)u"N", Pressure = P, Time = t, Mass = M)
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df = DataFrame()
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ts = 10u"ms"
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while M > 0.1u"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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@@ -44,16 +49,25 @@ while M > 0.01u"kg"
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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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df_step = DataFrame(Thrust = Thrust, Pressure = P, Time = t, Mass = M)
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append!(df, df_step)
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if df == DataFrame()
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df = DataFrame(Thrust = Thrust, Pressure = P, Time = t, Mass = M)
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else
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append!(df, DataFrame(Thrust = Thrust, Pressure = P, Time = t, Mass = M))
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end
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t = t + ts
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end
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impulse = sum(df.Thrust) * ts |> u"N*s"
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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("Total Impulse: ", impulse)
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println("Burn Time: ", t)
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plot(impulse)
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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")
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CSV.write("thrustdata.csv", df .|> ustrip)
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# plot(sum(df.Thrust) * ts |> u"N*s")
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# print(describe(df))
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# df.Time = round(u"s", df.Time)
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# plot(df.Time, df.Thrust, title = "Thrust Over Time")
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# CSV.write("thrustdata.csv", df .|> ustrip)
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# plot(df.Time .|> u"s" .|> ustrip, df.Thrust .|> u"N" .|> ustrip)> ustrip, df.Thrust .|> u"N" .|> ustrip)
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