Beispiel #1
0
 def test_swamee_jain(self):
     nu = DHLLDV_constants.water_viscosity[20]
     Re = homogeneous.pipe_reynolds_number(3.0, 0.5, nu)
     lmbda = homogeneous.swamee_jain_ff(Re, 0.5, DHLLDV_constants.steel_roughness)
     self.assertAlmostEqual(lmbda, 0.0129407)
     Re = 2320  #laminar
     lmbda = homogeneous.swamee_jain_ff(Re, 0.5, DHLLDV_constants.steel_roughness)
     self.assertAlmostEqual(lmbda, 2.75862069e-02)
Beispiel #2
0
 def test_swamee_jain(self):
     nu = DHLLDV_constants.water_viscosity[20]
     Re = homogeneous.pipe_reynolds_number(3.0, 0.5, nu)
     lmbda = homogeneous.swamee_jain_ff(Re, 0.5,
                                        DHLLDV_constants.steel_roughness)
     self.assertAlmostEqual(lmbda, 0.0129407)
     Re = 2320  #laminar
     lmbda = homogeneous.swamee_jain_ff(Re, 0.5,
                                        DHLLDV_constants.steel_roughness)
     self.assertAlmostEqual(lmbda, 2.75862069e-02)
def Erhg(vls, Dp,  d, epsilon, nu, rhol, rhos, Cvs, use_sf = True):
    """Relative excess pressure gradient, per equation 8.5-2
       vls = average line speed (velocity, m/sec)
       Dp = Pipe diameter (m)
       d = Particle diameter (m)
       epsilon = absolute pipe roughness (m)
       nu = fluid kinematic viscosity in m2/sec
       rhol = density of the fluid (ton/m3)
       rhos = particle density (ton/m3)
       Cvs = insitu volume concentration
       use_sf: Whether to apply the sliding flow correction
    """
    Rsd = (rhos-rhol)/rhol
    vt = vt_ruby(d, Rsd, nu)
    Rep = vt*d/nu  #eqn 8.2-4
    top = 4.7 + 0.41*Rep**0.75
    bottom = 1. + 0.175*Rep**0.75
    beta = top/bottom  #eqn 8.2-4
    KC = 0.175*(1+beta)
    Shr = vt*(1-Cvs/KC)**beta /vls #Eqn 8.5-2
    
    Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
    lbdl = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
    Srs = 8.5**2 * (1/lbdl) * (vt/(gravity*d)**0.5)**(10./3.) * ((nu*gravity)**(1./3.)/vls)**2  #Eqn 8.5-2
    f = d/(particle_ratio * Dp)  #eqn 8.8-4
    if not use_sf or f<1:
        return Shr + Srs
    else:
        #Sliding flow per equation 8.8-5
        return (Shr + Srs + (f-1)*musf)/f
Beispiel #4
0
def Srs(vls, Dp,  d, epsilon, nu, rhol, rhos, use_sqrtcx=True):
    """Kinetic energy loss contribution to the Erhg

    use_sqrtcx: Uses a modification based on figure 7.5_2, exemplified in Sape's code.
    """
    Rsd = (rhos-rhol)/rhol
    vt = vt_ruby(d, Rsd, nu)
    Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
    lbdl = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
    if not use_sqrtcx:
        return 8.5**2 * (1/lbdl) * (vt/(gravity*d)**0.5)**(10./3.) * ((nu*gravity)**(1./3.)/vls)**2  #Eqn 8.5-2
    return 8.5**2 * (1/lbdl) * (1/sqrtcx(vt, d))**(3.) * ((nu*gravity)**(1./3.)/vls)**2  #Eqn 8.5-2
def LDV(vls, Dp,  d, epsilon, nu, rhol, rhos, Cvs, max_steps=10):
    """
    Return the LDV for the given slurry.
    Dp = Pipe diameter (m)
    d = Particle diameter (m)
    epsilon = absolute pipe roughness (m)
    nu = fluid kinematic viscosity in m2/sec
    rhol = density of the fluid (ton/m3)
    rhos = particle density (ton/m3)
    Cvs = insitu volume concentration
    """
    Rsd = (rhos-rhol)/rhol
    fbot = (2*gravity*Rsd*Dp)**0.5
    
    #Very Small Particles
    vls = 1.0
    Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
    lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
    FL_vs = 1.4*(nu*Rsd*gravity)**(1./3.)*(8/lambdal)**0.5/fbot # eqn 8.10-1
    vlsldv = FL_vs*fbot
    steps = 0
    while not (1.00001 >= vls/vlsldv > 0.99999) and steps < max_steps:
        vls = (vls + vlsldv)/2
        Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
        lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
        FL_vs = 1.4*(nu*Rsd*gravity)**(1./3.)*(8/lambdal)**0.5/fbot # eqn 8.10-1
        vlsldv = FL_vs*fbot
        steps += 1
    
    #Small Particles
    vls = 4.0
    Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
    lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
    alphap = 3.4 * (1.65/Rsd)**(2./9) #Eqn 8.10-3
    vt = heterogeneous.vt_ruby(d, Rsd, nu)
    Rep = vt*d/nu  # eqn 4.2-6
    top = 4.7 + 0.41*Rep**0.75
    bottom = 1. + 0.175*Rep**0.75
    beta = top/bottom  # eqn 4.6-4
    KC = 0.175*(1+beta)
    FL_ss = alphap * (vt*Cvs*(1-Cvs/KC)**beta/(lambdal*fbot))**(1./3) # eqn 8.10-3
    vlsldv = FL_ss*fbot
    steps = 0
    while not (1.00001 >= vls/vlsldv > 0.99999) and steps < max_steps:
        vls = (vls + vlsldv)/2
        Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
        lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
        FL_ss = alphap * (vt*Cvs*(1-Cvs/KC)**beta/(lambdal*fbot))**(1./3) # eqn 8.10-3
        vlsldv = FL_ss*fbot
        steps += 1
    
    FL_s = max(FL_vs, FL_ss)    #Eqn 8.10-4
    
    #Large particles
    vls=4.3
    if d <= 0.015*Dp:
        Cvr_ldv = 0.0065/(2*gravity*Rsd*Dp) # Eqn 8.10-7
    else:
        Cvr_ldv = 0.053*(d/Dp)**0.5/(2*gravity*Rsd*Dp) # Eqn 8.10-7
    Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
    lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
    FL_r = alphap*((1-Cvs/KC)**beta * Cvs * (stratified.musf*stratified.Cvb*pi/8)**0.5 * Cvr_ldv**0.5/lambdal)**(1./3) # Eqn 8.10-6
    vlsldv = FL_r*fbot
    steps = 0
    while not (1.00001 >= vls/vlsldv > 0.99999) and steps < max_steps:
        vls = (vls + vlsldv)/2
        Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
        lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
        FL_r = alphap*((1-Cvs/KC)**beta * Cvs * (stratified.musf*stratified.Cvb*pi/8)**0.5 * Cvr_ldv**0.5/lambdal)**(1./3) # Eqn 8.10-6
        vlsldv = FL_r*fbot
        steps += 1
    
    #The Upper limit
    d0 = 0.0005*(1.65/Rsd)**0.5 #Eqn 8.10-8
    drough = 2./1000 # note: only valid for sand with Rsd=1.65
    if d > drough:
        FL_ul = FL_r
    elif FL_s <= FL_r:
        FL_ul = FL_s
    else:
        FL_ul = FL_s*exp(-1*d/d0) + FL_r*(1-exp(-1*d/d0))   # Eqn 8.10-8
    
    vls = 2.0
    Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
    lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
    A = -1
    B = vt*(1-Cvs/KC)**beta/stratified.musf
    C = ((8.5**2/lambdal)*(vt/(gravity*d)**0.5)**(10./3)*(nu*gravity)**(2./3))/stratified.musf
    vlsldv = (-1*B - (B**2-4*A*C)**0.5)/(2*A)   # Eqn 8.10-11
    steps = 0
    while not (1.00001 >= vls/vlsldv > 0.99999) and steps < max_steps:
        vls = (vls + vlsldv)/2
        Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
        lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
        A = -1
        B = vt*(1-Cvs/KC)**beta/stratified.musf
        C = ((8.5**2/lambdal)*(vt/(gravity*d)**0.5)**(10./3)*(nu*gravity)**(2./3))/stratified.musf
        vlsldv = (-1*B - (B**2-4*A*C)**0.5)/(2*A)   # Eqn 8.10-11
        steps += 1
    FL_ll = vlsldv/fbot # Eqn 8.10-12

    FL = max(FL_ul, FL_ll)  # Eqn 8.10-13
    return FL*fbot
Beispiel #6
0
def LDV(vls, Dp,  d, epsilon, nu, rhol, rhos, Cvs, max_steps=10):
    """
    Return the LDV for the given slurry.
    Dp = Pipe diameter (m)
    d = Particle diameter (m)
    epsilon = absolute pipe roughness (m)
    nu = fluid kinematic viscosity in m2/sec
    rhol = density of the fluid (ton/m3)
    rhos = particle density (ton/m3)
    Cvs = insitu volume concentration
    """
    Rsd = (rhos-rhol)/rhol
    fbot = (2*gravity*Rsd*Dp)**0.5

    #Very Small Particles
    vls = 1.0
    Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
    lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
    FL_vs = 1.4*(nu*Rsd*gravity)**(1./3.)*(8/lambdal)**0.5/fbot # eqn 8.10-1
    vlsldv = FL_vs*fbot
    steps = 0
    while not (1.00001 >= vls/vlsldv > 0.99999) and steps < max_steps:
        vls = (vls + vlsldv)/2
        Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
        lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
        FL_vs = 1.4*(nu*Rsd*gravity)**(1./3.)*(8/lambdal)**0.5/fbot # eqn 8.10-1
        vlsldv = FL_vs*fbot
        steps += 1

    #Small Particles
    vls = 4.0
    Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
    lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
    alphap = 3.4 * (1.65/Rsd)**(2./9) #Eqn 8.10-3
    vt = heterogeneous.vt_ruby(d, Rsd, nu)
    Rep = vt*d/nu  # eqn 4.2-6
    top = 4.7 + 0.41*Rep**0.75
    bottom = 1. + 0.175*Rep**0.75
    beta = top/bottom  # eqn 4.6-4
    KC = 0.175*(1+beta)
    FL_ss = alphap * (vt*Cvs*(1-Cvs/KC)**beta/(lambdal*fbot))**(1./3) # eqn 8.10-3
    vlsldv = FL_ss*fbot
    steps = 0
    while not (1.00001 >= vls/vlsldv > 0.99999) and steps < max_steps:
        vls = (vls + vlsldv)/2
        Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
        lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
        FL_ss = alphap * (vt*Cvs*(1-Cvs/KC)**beta/(lambdal*fbot))**(1./3) # eqn 8.10-3
        vlsldv = FL_ss*fbot
        steps += 1

    FL_s = max(FL_vs, FL_ss)    #Eqn 8.10-4

    #Large particles
    vls=4.3
    if d <= 0.015*Dp:
        Cvr_ldv = 0.0065/(2*gravity*Rsd*Dp) # Eqn 8.10-7
    else:
        Cvr_ldv = 0.053*(d/Dp)**0.5/(2*gravity*Rsd*Dp) # Eqn 8.10-7
    Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
    lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
    FL_r = alphap*((1-Cvs/KC)**beta * Cvs * (stratified.musf*stratified.Cvb*pi/8)**0.5 * Cvr_ldv**0.5/lambdal)**(1./3) # Eqn 8.10-6
    vlsldv = FL_r*fbot
    steps = 0
    while not (1.00001 >= vls/vlsldv > 0.99999) and steps < max_steps:
        vls = (vls + vlsldv)/2
        Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
        lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
        FL_r = alphap*((1-Cvs/KC)**beta * Cvs * (stratified.musf*stratified.Cvb*pi/8)**0.5 * Cvr_ldv**0.5/lambdal)**(1./3) # Eqn 8.10-6
        vlsldv = FL_r*fbot
        steps += 1

    #The Upper limit
    d0 = 0.0005*(1.65/Rsd)**0.5 #Eqn 8.10-8
    drough = 2./1000 # note: only valid for sand with Rsd=1.65
    if d > drough:
        FL_ul = FL_r
    elif FL_s <= FL_r:
        FL_ul = FL_s
    else:
        FL_ul = FL_s*exp(-1*d/d0) + FL_r*(1-exp(-1*d/d0))   # Eqn 8.10-8

    vls = 2.0
    Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
    lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
    A = -1
    B = vt*(1-Cvs/KC)**beta/stratified.musf
    C = ((8.5**2/lambdal)*(vt/(gravity*d)**0.5)**(10./3)*(nu*gravity)**(2./3))/stratified.musf
    vlsldv = (-1*B - (B**2-4*A*C)**0.5)/(2*A)   # Eqn 8.10-11
    steps = 0
    while not (1.00001 >= vls/vlsldv > 0.99999) and steps < max_steps:
        vls = (vls + vlsldv)/2
        Re = homogeneous.pipe_reynolds_number(vls, Dp, nu)
        lambdal = homogeneous.swamee_jain_ff(Re, Dp, epsilon)
        A = -1
        B = vt*(1-Cvs/KC)**beta/stratified.musf
        C = ((8.5**2/lambdal)*(vt/(gravity*d)**0.5)**(10./3)*(nu*gravity)**(2./3))/stratified.musf
        vlsldv = (-1*B - (B**2-4*A*C)**0.5)/(2*A)   # Eqn 8.10-11
        steps += 1
    FL_ll = vlsldv/fbot # Eqn 8.10-12

    FL = max(FL_ul, FL_ll)  # Eqn 8.10-13
    return FL*fbot
 def test_carrier_labda_6ms(self):
     Re = homogeneous.pipe_reynolds_number(self.vls_6ms, self.Dp, self.nul)
     self.assertAlmostEqual(homogeneous.swamee_jain_ff(Re, self.Dp, self.epsilon)*100,
                            0.009558047*100,
                            places=4)