Beispiel #1
0
def optim(apar):
    # unpack guess vector
    apar=np.asarray(apar)
    hx.te_pair.leg_ratio     = apar[0]
    hx.te_pair.fill_fraction = apar[1]
    hx.te_pair.length        = apar[2]
    hx.te_pair.I             = apar[3]

    # reset surrogate variables
    hx.te_pair.Ntype.area = hx.te_pair.leg_ratio*hx.te_pair.Ptype.area
    hx.te_pair.area_void = ( (1. - hx.te_pair.fill_fraction) / hx.te_pair.fill_fraction *
                           (hx.te_pair.Ptype.area + hx.te_pair.Ntype.area) )
    hx.set_constants()
    hx.solve_hx()

    # 1/power_net -- fmin is a minimization routine
    return 1./(hx.power_net)
Beispiel #2
0
hx.te_pair.length = length
hx.te_pair.Ntype.material = 'MgSi'
hx.te_pair.Ntype.area = area
hx.te_pair.Ptype.material = 'HMS'
hx.te_pair.Ptype.area = area * 2. 
hx.te_pair.area_void = 25. * area
hx.type = 'parallel'
hx.exh.enhancement = "straight fins"
hx.exh.fin.thickness = 5.e-3
hx.exh.fins = 10

hx.exh.T_inlet = 800.
hx.exh.P = 100.
hx.cool.T_inlet = 300.

hx.solve_hx()

currents = sp.linspace(2., 6., 25)
area_voids = sp.linspace(15., 75., 25) * area

hx.power_net_array = sp.zeros([sp.size(currents),
                               sp.size(area_voids)]) 

for i in sp.arange(sp.size(currents)):
    for j in sp.arange(sp.size(area_voids)):
        hx.te_pair.I = currents[i]
        hx.te_pair.area_void = area_voids[j]
        hx.solve_hx()
        hx.power_net_array[i,j] = hx.power_net

print "\nProgram finished."
hx.te_pair.Ntype.area = area
hx.te_pair.Ptype.material = 'HMS'
hx.te_pair.Ptype.area = area * 2. 
hx.te_pair.area_void = 150. * area
hx.te_pair.method = 'analytical'
hx.type = 'parallel'
# hx.exh.enhancement = "straight fins"
# hx.exh.fin.thickness = 5.e-3
# hx.exh.fins = 22 # 22 fins seems to be best.  

hx.exh.T_inlet = 800.
hx.exh.P = 100.
hx.cool.T_inlet = 300.

hx.set_mdot_charge()
hx.solve_hx() # solving once to initialize variables that are used
              # later 

ducts = np.array([2.])
hx.Qdot_array = np.zeros(np.size(ducts))
hx.te_pair.power_array = np.zeros(np.size(ducts)) 
hx.power_net_array = np.zeros(np.size(ducts))
hx.Wdot_pumping_array = np.zeros(np.size(ducts)) 

hx.exh.height_array = 3.5e-2 / ducts
hx.cool.height_array = 1.e-2 / ducts
hx.length_array = hx.length * ducts

for i in np.arange(np.size(ducts)):
    hx.exh.height = hx.exh.height_array[i]
    hx.cool.height = hx.cool.height_array[i]