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# Plots the drag coefficient against the particle Reynolds number.
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from math import sqrt, pi
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from fluidity_tools import stat_parser
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C_wen_yu = zeros(200000)
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C_stokes = zeros(200000)
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particle_Re = arange(0.001, 1000, 0.005)
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for i in range(0, len(particle_Re)):
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# Drag coefficients for the Wen & Yu and Stokes drag correlations respectively.
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C_wen_yu[i] = (24.0/particle_Re[i])*(1.0 + 0.15*particle_Re[i]**0.687)
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C_stokes[i] = (24.0/particle_Re[i])
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s = stat_parser("./mphase_wen_yu_drag_correlation.stat")
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numerical_particle_Re_wen_yu = s["Tephra"]["ParticleReynoldsNumber"]["max"][-1]
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numerical_C_wen_yu = s["Tephra"]["DragCoefficient"]["max"][-1]
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pylab.loglog(particle_Re, C_stokes, "-r", label="Stokes drag correlation")
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pylab.loglog(particle_Re, C_wen_yu, "-g", label="Wen & Yu drag correlation")
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pylab.loglog(numerical_particle_Re_wen_yu, numerical_C_wen_yu, "*b", label="Numerical result")
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pylab.xlabel("ParticleReynoldsNumber")
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pylab.ylabel("DragCoefficient")
b'\\ No newline at end of file'