def test_Probes_vectorfunctionspace_3D(VF3, dirpath):
u0 = interpolate(Expression(('x[0]', 'x[1]', 'x[2]'), degree=1), VF3)
x = array([[0.5, 0.5, 0.5], [0.4, 0.4, 0.4], [0.3, 0.3, 0.3]])
p = Probes(x.flatten(), VF3)
# Probe twice
p(u0)
p(u0)
# Check both snapshots
p0 = p.array(N=0)
if MPI.rank(MPI.comm_world) == 0:
assert round(p0[0, 0] - 0.5, 7) == 0
assert round(p0[1, 1] - 0.4, 7) == 0
assert round(p0[2, 2] - 0.3, 7) == 0
p0 = p.array(N=1)
if MPI.rank(MPI.comm_world) == 0:
assert round(p0[0, 0] - 0.5, 7) == 0
assert round(p0[1, 1] - 0.4, 7) == 0
assert round(p0[2, 2] - 0.3, 7) == 0
p0 = p.array(filename=dirpath+'dumpvector3D')
if MPI.rank(MPI.comm_world) == 0:
assert round(p0[0, 0, 0] - 0.5, 7) == 0
assert round(p0[1, 1, 0] - 0.4, 7) == 0
assert round(p0[2, 1, 0] - 0.3, 7) == 0
p1 = load(dirpath+'dumpvector3D_all.npy')
assert round(p1[0, 0, 0] - 0.5, 7) == 0
assert round(p1[1, 1, 0] - 0.4, 7) == 0
assert round(p1[2, 1, 1] - 0.3, 7) == 0
def test_Probes_vectorfunctionspace_2D(VF2, dirpath):
u0 = interpolate(Expression(('x[0]', 'x[1]'), degree=1), VF2)
x = array([[0.5, 0.5], [0.4, 0.4], [0.3, 0.3]])
p = Probes(x.flatten(), VF2)
# Probe twice
p(u0)
p(u0)
# Check both snapshots
p0 = p.array(N=0)
if MPI.rank(mpi_comm_world()) == 0:
assert round(p0[0, 0] - 0.5, 7) == 0
assert round(p0[1, 1] - 0.4, 7) == 0
assert round(p0[2, 1] - 0.3, 7) == 0
p0 = p.array(N=1)
if MPI.rank(mpi_comm_world()) == 0:
assert round(p0[0, 0] - 0.5, 7) == 0
assert round(p0[1, 0] - 0.4, 7) == 0
assert round(p0[2, 1] - 0.3, 7) == 0
p0 = p.array(filename=dirpath + 'dumpvector2D')
if MPI.rank(mpi_comm_world()) == 0:
assert round(p0[0, 0, 0] - 0.5, 7) == 0
assert round(p0[1, 1, 1] - 0.4, 7) == 0
assert round(p0[2, 0, 1] - 0.3, 7) == 0
f = open(dirpath + 'dumpvector2D_all.probes', 'r')
p1 = load(f)
assert round(p1[0, 0, 0] - 0.5, 7) == 0
assert round(p1[1, 1, 0] - 0.4, 7) == 0
assert round(p1[2, 1, 1] - 0.3, 7) == 0
def test_Probes_vectorfunctionspace_2D(VF2, dirpath):
u0 = interpolate(Expression(('x[0]', 'x[1]')), VF2)
x = array([[0.5, 0.5], [0.4, 0.4], [0.3, 0.3]])
p = Probes(x.flatten(), VF2)
# Probe twice
p(u0)
p(u0)
# Check both snapshots
p0 = p.array(N=0)
if MPI.rank(mpi_comm_world()) == 0:
assert round(p0[0, 0] - 0.5, 7) == 0
assert round(p0[1, 1] - 0.4, 7) == 0
assert round(p0[2, 1] - 0.3, 7) == 0
p0 = p.array(N=1)
if MPI.rank(mpi_comm_world()) == 0:
assert round(p0[0, 0] - 0.5, 7) == 0
assert round(p0[1, 0] - 0.4, 7) == 0
assert round(p0[2, 1] - 0.3, 7) == 0
p0 = p.array(filename=dirpath+'dumpvector2D')
if MPI.rank(mpi_comm_world()) == 0:
assert round(p0[0, 0, 0] - 0.5, 7) == 0
assert round(p0[1, 1, 1] - 0.4, 7) == 0
assert round(p0[2, 0, 1] - 0.3, 7) == 0
f = open(dirpath+'dumpvector2D_all.probes', 'r')
p1 = load(f)
assert round(p1[0, 0, 0] - 0.5, 7) == 0
assert round(p1[1, 1, 0] - 0.4, 7) == 0
assert round(p1[2, 1, 1] - 0.3, 7) == 0
def theend_hook(q_, u_, p_, uv, mesh, ds, V, nu, Umean, D, **NS_namespace):
uv()
plot(uv, title='Velocity')
plot(p_, title='Pressure')
plot(q_['alfa'], title='alfa')
R = VectorFunctionSpace(mesh, 'R', 0)
c = TestFunction(R)
tau = -p_*Identity(2)+nu*(grad(u_)+grad(u_).T)
ff = FacetFunction("size_t", mesh, 0)
Cyl.mark(ff, 1)
n = FacetNormal(mesh)
ds = ds[ff]
forces = assemble(dot(dot(tau, n), c)*ds(1)).array()*2/Umean**2/D
print "Cd = {}, CL = {}".format(*forces)
from fenicstools import Probes
from numpy import linspace, repeat, where, resize
xx = linspace(0, L, 10000)
x = resize(repeat(xx, 2), (10000, 2))
x[:, 1] = 0.2
probes = Probes(x.flatten(), V)
probes(u_[0])
nmax = where(probes.array() < 0)[0][-1]
print "L = ", x[nmax, 0]-0.25
print "dP = ", p_(Point(0.15, 0.2)) - p_(Point(0.25, 0.2))
def theend_hook(u_, p_, up_, mesh, ds, VQ, nu, Umean, c_, testing, **NS_namespace):
if not testing:
plot(u_, title='Velocity')
plot(p_, title='Pressure')
plot(c_, title='Scalar')
R = VectorFunctionSpace(mesh, 'R', 0)
c = TestFunction(R)
tau = -p_*Identity(2)+nu*(grad(u_)+grad(u_).T)
ff = FacetFunction("size_t", mesh, 0)
Cyl.mark(ff, 1)
n = FacetNormal(mesh)
ds = ds(subdomain_data=ff)
forces = assemble(dot(dot(tau, n), c)*ds(1)).array()*2/Umean**2/D
try:
print "Cd = {0:2.6e}, CL = {1:2.6e}".format(*forces)
except IndexError:
pass
if not testing:
from fenicstools import Probes
from numpy import linspace, repeat, where, resize
xx = linspace(0, L, 10000)
x = resize(repeat(xx, 2), (10000, 2))
x[:, 1] = 0.2
probes = Probes(x.flatten(), VQ)
probes(up_)
nmax = where(probes.array()[:, 0] < 0)[0][-1]
print "L = ", x[nmax, 0]-0.25
print "dP = ", up_(Point(0.15, 0.2))[2] - up_(Point(0.25, 0.2))[2]
print "Global divergence error ", assemble(dot(u_, n)*ds()), assemble(div(u_)*div(u_)*dx())
def theend_hook(q_, u_, p_, uv, mesh, ds, V, nu, Umean, D, **NS_namespace):
uv()
plot(uv, title='Velocity')
plot(p_, title='Pressure')
plot(q_['alfa'], title='alfa')
R = VectorFunctionSpace(mesh, 'R', 0)
c = TestFunction(R)
tau = -p_*Identity(2)+nu*(grad(u_)+grad(u_).T)
ff = FacetFunction("size_t", mesh, 0)
Cyl.mark(ff, 1)
n = FacetNormal(mesh)
ds = ds[ff]
forces = assemble(dot(dot(tau, n), c)*ds(1)).array()*2/(Umean**2*D)
print "Cd = {}, CL = {}".format(*forces)
from fenicstools import Probes
from numpy import linspace, repeat, where, resize
xx = linspace(0, L, 10000)
x = resize(repeat(xx, 2), (10000, 2))
x[:, 1] = 0.2
probes = Probes(x.flatten(), V)
probes(u_[0])
nmax = where(probes.array() < 0)[0][-1]
print "L = ", x[nmax, 0]-0.25
print "dP = ", p_(Point(0.15, 0.2)) - p_(Point(0.25, 0.2))
def test_Probes_functionspace_2D(V2):
u0 = interpolate(Expression('x[0]', degree=1), V2)
x = array([[0.5, 0.5], [0.4, 0.4], [0.3, 0.3]])
p = Probes(x.flatten(), V2)
# Probe twice
p(u0)
p(u0)
# Check both snapshots
p0 = p.array(N=0)
if MPI.rank(mpi_comm_world()) == 0:
assert round(p0[0] - 0.5, 7) == 0
assert round(p0[1] - 0.4, 7) == 0
assert round(p0[2] - 0.3, 7) == 0
p0 = p.array(N=1)
if MPI.rank(mpi_comm_world()) == 0:
assert round(p0[0] - 0.5, 7) == 0
assert round(p0[1] - 0.4, 7) == 0
assert round(p0[2] - 0.3, 7) == 0
def test_Probes_functionspace_2D(V2):
u0 = interpolate(Expression('x[0]'), V2)
x = array([[0.5, 0.5], [0.4, 0.4], [0.3, 0.3]])
p = Probes(x.flatten(), V2)
# Probe twice
p(u0)
p(u0)
# Check both snapshots
p0 = p.array(N=0)
if MPI.rank(mpi_comm_world()) == 0:
assert round(p0[0] - 0.5, 7) == 0
assert round(p0[1] - 0.4, 7) == 0
assert round(p0[2] - 0.3, 7) == 0
p0 = p.array(N=1)
if MPI.rank(mpi_comm_world()) == 0:
assert round(p0[0] - 0.5, 7) == 0
assert round(p0[1] - 0.4, 7) == 0
assert round(p0[2] - 0.3, 7) == 0
problem_single()
else:
print("Problem type %s is not implemented, only mixedspace " +
"and singlespace are valid options") % r["space"]
sys.exit(0)
#except Exception as e:
# print "Problems for solver", r["name"]
# print "Unexpected error:", sys.exc_info()[0]
# print e
# print "Move on the the next solver"
r["number_of_cores"] = MPI.max(mpi_comm_world(), MPI.rank(
mpi_comm_world())) + 1
r["solution_time"] = MPI.sum(mpi_comm_world(),
timer.time() - t0) / (r["number_of_cores"])
displacement = probe.array()
probe.clear()
# Store results
if MPI.rank(mpi_comm_world()) == 0 and not load:
results.append(
(displacement[0, :], displacement[1, :], np.array(time)))
if not path.exists(r["case_path"]):
makedirs(r["case_path"])
results[-1][0].dump(path.join(r["case_path"], "dis_x.np"))
results[-1][1].dump(path.join(r["case_path"], "dis_y.np"))
results[-1][2].dump(path.join(r["case_path"], "time.np"))
file_ = open(path.join(r["case_path"], "param.dat"), "w")
cPickle.dump(r, file_)
file_.close()
def main():
parser = argparse.ArgumentParser(description="Average various files")
parser.add_argument("-l",
"--list",
nargs="+",
help="List of folders",
required=True)
parser.add_argument("-f",
"--fields",
nargs="+",
default=None,
help="Sought fields")
parser.add_argument("-t", "--time", type=float, default=0, help="Time")
parser.add_argument("--show", action="store_true", help="Show")
parser.add_argument("-R",
"--radius",
type=float,
default=None,
help="Radial distance")
args = parser.parse_args()
tss = []
for folder in args.list:
ts = InterpolatedTimeSeries(folder, sought_fields=args.fields)
tss.append(ts)
Ntss = len(tss)
all_fields_ = []
for ts in tss:
all_fields_.append(set(ts.fields))
all_fields = list(set.intersection(*all_fields_))
if args.fields is None:
fields = all_fields
else:
fields = list(set.intersection(set(args.fields), set(all_fields)))
f_in = []
for ts in tss:
f_in.append(ts.functions())
# Using the first timeseries to define the spaces
# Could be redone to e.g. a finer, structured mesh.
# ref_mesh = tss[0].mesh
ref_spaces = dict([(field, f.function_space())
for field, f in f_in[0].items()])
if "psi" not in fields:
exit("No psi")
var_names = ["t", "s"]
index_names = ["tt", "st", "ss"]
index_numbers = [0, 1, 4]
dim_names = ["x", "y", "z"]
# Loading geometry
rad_t = []
rad_s = []
g_ab = []
gab = []
for ts in tss:
# Should compute these from the curvature tensor
rad_t.append(
df.interpolate(df.Expression("x[0]", degree=2), ts.function_space))
rad_s.append(
df.interpolate(df.Expression("x[1]", degree=2), ts.function_space))
# g_loc = [ts.function(name) for name in ["gtt", "gst", "gss"]]
# g_inv_loc = [ts.function(name) for name in ["g_tt", "g_st", "g_ss"]]
gab_loc = dict([(idx, ts.function("g{}".format(idx)))
for idx in index_names])
g_ab_loc = dict([(idx, ts.function("g_{}".format(idx)))
for idx in index_names])
for idx, ij in zip(index_names, index_numbers):
# for ij in range(3):
# ts.set_val(g_loc[ij], ts.g[:, ij])
# ts.set_val(g_inv_loc[ij], ts.g_inv[:, ij])
ts.set_val(g_ab_loc[idx], ts.g_ab[:, ij])
# Could compute the gab locally instead of loading
ts.set_val(gab_loc[idx], ts.gab[:, ij])
g_ab_loc["ts"] = g_ab_loc["st"]
gab_loc["ts"] = gab_loc["st"]
g_ab.append(g_ab_loc)
gab.append(gab_loc)
costheta = df.Function(ref_spaces["psi"], name="costheta")
for its, (ts, g_ab_loc, gab_loc) in enumerate(zip(tss, g_ab, gab)):
if args.time is not None:
step, time = get_step_and_info(ts, args.time)
g_ab_ = to_vector(g_ab_loc)
gab_ = to_vector(gab_loc)
ts.update(f_in[its]["psi"], "psi", step)
psi = f_in[its]["psi"]
psi_t = df.project(psi.dx(0), ts.function_space)
psi_s = df.project(psi.dx(1), ts.function_space)
gp_t = psi_t.vector().get_local()
gp_s = psi_s.vector().get_local()
# gtt, gst, gss = [g_ij.vector().get_local() for g_ij in g[its]]
# g_tt, g_st, g_ss = [g_ij.vector().get_local() for g_ij in g_inv[its]]
gtt = gab_["tt"]
gst = gab_["ts"]
gss = gab_["ss"]
g_tt = g_ab_["tt"]
g_st = g_ab_["ts"]
g_ss = g_ab_["ss"]
rht = rad_t[its].vector().get_local()
rhs = rad_s[its].vector().get_local()
rh_norm = np.sqrt(g_tt * rht**2 + g_ss * rhs**2 + 2 * g_st * rht * rhs)
gp_norm = np.sqrt(gtt * gp_t**2 + gss * gp_s**2 +
2 * gst * gp_t * gp_s)
costheta_loc = ts.function("costheta")
# abs(cos(theta)):
costheta_loc.vector()[:] = abs(
(rht * gp_t + rhs * gp_s) / (rh_norm * gp_norm + 1e-8))
# cos(theta)**2:
#costheta_loc.vector()[:] = ((rht*gp_t + rhs*gp_s)/(rh_norm*gp_norm+1e-8))**2
# sin(theta):
#costheta_loc.vector()[:] = np.sin(np.arccos((rht*gp_t + rhs*gp_s)/(rh_norm*gp_norm+1e-8)))
# sin(theta)**2:
# costheta_loc.vector()[:] = np.sin(np.arccos((rht*gp_t + rhs*gp_s)/(rh_norm*gp_norm+1e-8)))**2
# abs(theta):
#costheta_loc.vector()[:] = abs(np.arccos((rht*gp_t + rhs*gp_s)/(rh_norm*gp_norm+1e-8)))
costheta_intp = interpolate_nonmatching_mesh(costheta_loc,
ref_spaces["psi"])
costheta.vector()[:] += costheta_intp.vector().get_local() / Ntss
dump_xdmf(costheta)
if args.show:
JET = plt.get_cmap('jet')
RYB = plt.get_cmap('RdYlBu')
RYB_r = plt.get_cmap('RdYlBu_r')
mgm = plt.get_cmap('magma')
fig, ax = plt.subplots()
fig.set_size_inches(4.7, 4.7)
rc('text', usetex=True)
rc('font', **{'family': 'serif', 'serif': ['Palatino']})
# First, dump a hires PNG version of the data:
plot = df.plot(costheta, cmap=mgm)
plt.axis('off')
plt.savefig('anglogram_hires.png',
format="png",
bbox_inches='tight',
pad_inches=0,
dpi=500)
mainfs = 10 # Fontsize
titlefs = 12 # Fontsize
#plt.set_cmap('jet')
#cbar = fig.colorbar(plot, ticks=[0, 0.5, 1], orientation='vertical')
#cbar.ax.set_yticklabels(['Radial', 'Intermediate', 'Azimuthal'])
#cbar = fig.colorbar(plot, ticks=[0, 0.5, 0.95], orientation='horizontal', fraction=0.046, pad=0.04)
#cbar = fig.colorbar(plot, ticks=[0, 0.5, 0.995], orientation='horizontal', fraction=0.046, pad=0.04)
cbar = fig.colorbar(plot,
ticks=[0, 0.5, 0.9995],
orientation='horizontal',
fraction=0.046,
pad=0.04)
cbar.ax.set_xticklabels(['Radial', 'Intermediate', 'Azimuthal'])
#ax.set_title('Stripe orientation -- $\\cos^2(\\theta)$', fontsize=mainfs)
#ax.set_title(r'Stripe orientation -- $\cos^2(\theta)$')
plt.text(0.5,
1.05,
r'Stripe orientation -- $\left\vert\cos(\theta)\right\vert$',
fontsize=titlefs,
horizontalalignment='center',
transform=ax.transAxes)
#ax.set_title('Stripe orientation', fontsize=mainfs)
#plt.text(0.2, 0.2, '$\\textcolor{red}{\\mathbf{p}(u,w,\\xi)}=\\textcolor{blue}{\\tilde{\\mathbf{p}}(u,w)} + \\xi \\tilde{\\mathbf{n}}(u,w)$', fontsize=mainfs)
ax.get_xaxis().set_visible(False)
ax.get_yaxis().set_visible(False)
#plt.show()
plt.savefig('anglogram.pdf',
format="pdf",
bbox_inches='tight',
pad_inches=0)
#plt.axis('on')
#ax.get_xaxis().set_visible(True)
#ax.get_yaxis().set_visible(True)
#plt.colorbar(plot)
#plt.show()
if args.radius is not None and args.radius > 0:
Nr, Nphi = 256, 256
r_lin = np.linspace(0., args.radius, Nr)
phi_lin = np.linspace(0, 2 * np.pi, Nphi, endpoint=False)
R, Phi = np.meshgrid(r_lin, phi_lin)
r = R.reshape((Nr * Nphi, 1))
phi = Phi.reshape((Nr * Nphi, 1))
xy = np.hstack((r * np.cos(phi), r * np.sin(phi)))
pts = xy.flatten()
probes = Probes(pts, ref_spaces["psi"])
probes(costheta)
ct = probes.array()
CT = ct.reshape(R.shape)
g_r = CT.mean(axis=0)
g_phi = CT.mean(axis=1)
plt.figure()
plt.plot(r_lin, g_r)
plt.ylabel("g(r)")
plt.xlabel("r")
plt.figure()
plt.plot(phi_lin, g_phi)
plt.xlabel("phi")
plt.ylabel("g(phi)")
plt.show()
def solve_ht():
# error for inf temperature field if all BC are HTC
bcs = {
"work": { 'boundary_id': work_htc_boundary_id, 'values': {
'temperature': {'variable': "temperature", 'type': 'HTC', 'value': htc_work, 'ambient': T_ambient } } },
"cutter": {'boundary_id': cutter_htc_boundary_id, 'values': {
#'temperature': {'variable': "temperature", 'type': 'Dirichlet', 'value': T_ambient + 200} } },
'temperature': {'variable': "temperature", 'type': 'HTC', 'value': htc_cutter, 'ambient': T_ambient } } },
"holder": {'boundary_id': holder_htc_boundary_id, 'values': {
'temperature': {'variable': "temperature", 'type': 'HTC', 'value': htc_holder, 'ambient': T_ambient} } },
#'temperature': {'variable': "temperature", 'type': 'Dirichlet', 'value': T_ambient + 20} } },
"chip": { 'boundary_id': chip_htc_boundary_id, 'values': {
'temperature': {'variable': "temperature", 'type': 'HTC', 'value': htc_chip, 'ambient': T_ambient } } },
#other are zero heat flux
}
settings = {'solver_name': 'ScalarEquationSolver',
'mesh': mesh_file, 'function_space': None, 'fe_degree': element_degree, 'periodic_boundary': pbc,
'boundary_conditions': bcs,
'body_source': None,
'initial_values': {'temperature': T_ambient},
'material': material_work,
'solver_settings': {
'transient_settings': {'transient': False, 'starting_time': 0, 'time_step': 0.01, 'ending_time': 0.03},
'reference_values': {'temperature': T_ambient},
'solver_parameters': {"relative_tolerance": 1e-8, # mapping to solver.parameters of Fenics
'absolute_tolerance': 1E-9,
"maximum_iterations": 500,
"relaxation_parameter": 0.3, # case 6 , case 8 failed to converge
"monitor_convergence": True, # print to console
},
},
# solver specific settings
'scalar_name': 'temperature',
"convective_velocity": None,
#'radiation_settings': {'ambient_temperature': T_ambient-20, 'emissivity': 0.9}
}
if using_stab: # stab is not necessary if mapping boundary is used
settings['advection_settings'] = {'stabilization_method': 'IP', 'alpha': IP_alpha, 'Pe': Pe/1000.0}
if considering_radiation:
settings['radiation_settings']= {'ambient_temperature': T_ambient, 'emissivity': emissivity}
import time # dolfin has time function
ts_before_preprocessing = time.time()
solver = ScalarTransportSolver.ScalarTransportSolver(settings)
Q = solver.function_space
vector_degree = element_degree+1
V = VectorFunctionSpace(solver.mesh, 'CG', vector_degree)
v_e = Expression(cppcode=velocity_code, degree=vector_degree) # degree, must match function space
v_e.subdomain_id = solver.subdomains
velocity = Function(V)
velocity.interpolate(v_e) # does not work for MPI
if has_convective_velocity:
#solver.convective_velocity = Constant((1, 1, 0))
solver.convective_velocity = velocity
#DG for conductivity and heat source, save to hdf5?
DG0 = FunctionSpace(solver.mesh, 'DG', 0) # can not mixed higher order CG and DG?
unity = Function(DG0)
unity.vector()[:] = 1 #interpolate(Expression('1', element_degree), DG0)
# Numerical simulations of advection-dominated scalar mixing with applications to spinal CSF flow and drug transport
if not using_nonlinear_thermal_properties:
k_f = get_material_function(DG0, solver.subdomains, material_k_list)
solver.material['thermal_conductivity'] = k_f
capacity_f = get_material_function(DG0, solver.subdomains, material_capacity_list)
solver.material['capacity'] = capacity_f
#################################################
shear_heat, friction_heat = get_heat_source()
shear_heat_density = shear_heat / shear_heat_volume # W/m3
friction_heat_density = friction_heat / nominal_friction_heat_volume
print("heating volume and intensity; ", shear_heat_volume, friction_heat_volume, shear_heat_density, friction_heat_density)
if True: # test passed, non-uniform heat source can be implemented later
class HeatSourceExpression(Expression):
def eval_cell(self, values, x, ufc_cell):
cindex = ufc_cell.index
did = solver.subdomains[cindex]
if did == shear_subdomain_id:
values[0] = shear_heat_density
elif did == friction_subdomain_id:
if nonuniform_friction_heat:
distance = math.sqrt(x[0]*x[0] + x[1]*x[1])
_start = (friction_heat_start + uniform_friction_heat_length)
if distance <= _start:
values[0] = friction_heat_density * uniform_heat_ratio
else:
_ratio_l = (distance -_start)/(actual_friction_heat_distance - _start)
_ratio_h = uniform_heat_ratio * (1 - _ratio_l)
values[0] = friction_heat_density * _ratio_h
if nonuniform_friction_thickness:
distance = math.sqrt(x[0]*x[0] + x[1]*x[1])
_start = friction_heat_start
_ratio_l = (distance -_start)/actual_friction_heat_length
_ratio_h = 1.0 / ( 1.0 - _ratio_l * ( 1.0 - friction_end_thickness/friction_heat_thickness))
values[0] = friction_heat_density * _ratio_h
else:
values[0] = friction_heat_density
else:
values[0] = 0
# FIXME: cause error of UFLException: Discontinuous type Coefficient must be restricted.
v_s = HeatSourceExpression(degree = element_degree) # degree, must match function space
heat_source = Function(DG0)
heat_source.interpolate(v_s) # does not work for MPI
solver.body_source = heat_source
else:
heat_source_list = [0] * subdomain_number
heat_source_list[shear_subdomain_id] = shear_heat_density
heat_source_list[friction_subdomain_id] = friction_heat_density
heat_source = get_material_function(DG0, solver.subdomains, heat_source_list) # does not work for MPI
solver.body_source = heat_source
'''
solver.boundary_facets.set_all(0)
for facet in facets(solver.mesh):
for cell in cells(facet):
#print(f.index(), c.index())
if facet.exterior() and solver.subdomains[cell.index()] < 5:
solver.boundary_facets[facet.index()] = solver.subdomains[cell.index()]
'''
if exporting_foam:
#preset boundary value
#DG vector space
#v_e = Expression(cppcode=velocity_code, degree=vector_degree) # degree, must match function space?
#v_e.subdomain_id = solver.subdomains
#print(velocity_code)
DGV = VectorFunctionSpace(solver.mesh, 'DG', 0)
velocity = Function(DGV)
velocity.interpolate(v_e) # does not work for MPI
print(' chip volocity = ({}, {}, {})'.format(chip_sliding_vel_x, chip_sliding_vel_y, 0))
print(' work volocity = ({}, {}, {})'.format(cutting_speed, 0, 0))
sys.path.append('/media/sf_OneDrive/gitrepo/VTKToFoam')
from VTKToFoam import set_internal_field, write_field
foam_data_folder = '0/'
#foam_data_folder = '0.origin/'
#print('size of DG0 vector numpy array', velocity.vector().array().shape) # correct 1D array
#print('size of DG0 scalar numpy array', heat_source.vector().array().shape)
# need to regerate mesh and transform mesh even if boundary, subdomain id changed.
foam_velocity_data_file = foam_data_folder + foam_data_folder + 'U'
set_internal_field(foam_velocity_data_file, velocity.vector().array(), 'vector', foam_data_folder + '0.origin/U')
# icoThermoFoam TEqn accepts power/capacity as source
#set_internal_field(foam_data_folder + 'S', heat_source.vector().array()/metal_capacity_0, 'scalar', foam_base_folder + 'S') # if not existing, write_field()
print("set heat source density in system/")
sys.exit()
#
holder_top_boundary = AutoSubDomain(lambda x, on_boundary: \
near(x[1], holder_top_y) and on_boundary)
holder_top_boundary.mark(solver.boundary_facets, holder_top_boundary_id)
solver.boundary_conditions['holder_top'] = { 'boundary_id': holder_top_boundary_id, 'values': {
'temperature': {'variable': "temperature", 'type': 'Dirichlet', 'value': T_holder_top } } }
#
if is_straight_chip:
chip_end_boundary = AutoSubDomain(lambda x, on_boundary: \
near(x[1], chip_top_y) and on_boundary)
else:
chip_end_boundary = AutoSubDomain(lambda x, on_boundary: \
near(x[0], chip_center_x) and (x[1]>0) and on_boundary)
chip_end_boundary.mark(solver.boundary_facets, chip_end_boundary_id)
if not has_convective_velocity:
solver.boundary_conditions['chipend_htc'] = { 'boundary_id': chip_end_boundary_id, 'values': {
'temperature': {'variable': "temperature", 'type': 'HTC', 'value': htc_chip, 'ambient':T_ambient } } }
if has_convective_velocity:
if using_mapping_bc: # test if bc is found
# those are used in post-processing, PeriodicBoundary should be done in function space creation
mapping_periodic_boundary = PeriodicBoundary()
mapping_periodic_boundary.mark(solver.boundary_facets, mapping_boundary_id, check_midpoint = True)
#
shear_interface = TurningInterface() # chip side
shear_interface.mark(solver.boundary_facets, mapped_shear_boundary_id, check_midpoint = True)
#
if using_chip_cutter_mapping_bc:
friction_interface = FrictionalInterface() # cutter side
friction_interface.mark(solver.boundary_facets, mapped_friction_boundary_id, check_midpoint = True)
if workpiece_type_id == 0 or workpiece_type_id == 2: # rect work shape
work_bottom_boundary = AutoSubDomain(lambda x, on_boundary: near(x[1], work_bottom_y) and on_boundary)
work_bottom_boundary.mark(solver.boundary_facets, work_bottom_boundary_id)
#
work_left_boundary_id = work_bottom_boundary_id+1
work_left_boundary = AutoSubDomain(lambda x, on_boundary: near(x[0], work_left_x) and x[1]<feed_thickness+DOLFIN_EPS and on_boundary)
work_left_boundary.mark(solver.boundary_facets, work_left_boundary_id)
#
work_right_boundary = AutoSubDomain(lambda x, on_boundary: near(x[0], work_right_x) and x[1]<feed_thickness+DOLFIN_EPS and on_boundary)
work_right_boundary.mark(solver.boundary_facets, work_bottom_boundary_id+2)
#right are natural boundary, zero gradient, or it does not mater
solver.boundary_conditions['work_inlet'] = { 'boundary_id': work_left_boundary_id, 'values': {
'temperature': {'variable': "temperature", 'type': 'Dirichlet', 'value': T_work_inlet } } }
#solver.boundary_conditions['work_bottom'] = { 'boundary_id': work_bottom_boundary_id, 'values': {
# 'temperature': {'variable': "temperature", 'type': 'Dirichlet', 'value': T_ambient } } }
elif workpiece_type_id == 1:
disc_center_y = - disc_R
work_clamp_boundary_id = 8
work_clamp_boundary = AutoSubDomain(lambda x, on_boundary: \
between(x[0], (-disc_R*0.05, disc_R*0.05)) \
and between(x[1], (disc_center_y-disc_R*0.1, disc_center_y+disc_R*0.1)) and on_boundary)
work_clamp_boundary.mark(solver.boundary_facets, work_clamp_boundary_id)
solver.boundary_conditions['work_clamp'] = { 'boundary_id': work_clamp_boundary_id, 'values': {
'temperature': {'variable': "temperature", 'type': 'Dirichlet', 'value': T_ambient } } }
else:
raise NotImplementedError('this work piece shape id is not supported')
def update_material_property(DG0, subdomains, material_values, T_DG0, cutter_f, metal_f):
# it takes very long time to complete if set individually
did = np.asarray(subdomains.array(), dtype=np.int32)
u = Function(DG0)
u.vector()[:] = metal_f(T_DG0.vector().get_local()) # return numpy.array
#print(type(u_new), u_new.size, u.vector().array().size)
u.vector()[did == cutter_subdomain_id] = cutter_f(T_DG0.vector().get_local())[did == cutter_subdomain_id]
#u.vector()[did == cutter_subdomain_id] = cutter_value
"""
for i, v in enumerate(did):
if (v == cutter_subdomain_id):
u.vector()[i] = cutter_value
else:
u.vector()[i] = metal_f(T_DG0.vector().array()[i])
"""
return u
ts_after_preprocessing = time.time()
# my own nonliner loop, updating material property in each iteration
if using_nonlinear_loop: # 3D looping is possible
assert not using_MPI # setting material property may not working in parallel
loop_i = 0
loop_N = 10
T_old = Function(solver.function_space) #default to zero, Yes
while loop_i < loop_N:
T = solver.solve()
T_mean_diff = np.mean(T_old.vector()[:] - T.vector()[:])
print("=== nonlinear loop ", loop_i, " ======= ", T_mean_diff)
if math.fabs(T_mean_diff) < 0.1:
break
T_DG0 = project(T, DG0)
capacity_field = update_material_property(DG0, solver.subdomains, material_capacity_list, T_DG0, cutter_capacity_f, metal_capacity_f)
solver.material['capacity'] = capacity_field
k_field = update_material_property(DG0, solver.subdomains, material_k_list, T_DG0, cutter_k_f, metal_k_f)
solver.material['thermal_conductivity'] = k_field
#solver.solve() has considered dc/dT ignore dk/dT
#to trigger this condition: if 'dc_dT' in self.material:
T_old.vector()[:] = T.vector()[:]
loop_i += 1
#ofile = File(result_folder + "k.pvd") # not for parallel
#ofile << solver.material['thermal_conductivity']
else:
T = solver.solve()
ts_before_postprocessing = time.time()
if using_MPI:
mf = HDF5File(mpi_comm_world(), result_folder + "metal_cutting_result" +'.h5', 'w')
#mf = XDMFFile(mpi_comm_world(), result_name+'.xdmf')
mf.write(T, "T")
mf.write(V.mesh(), "mesh")
#post processing is not possible in parallel?
sys.exit()
else:
#interpolate the higher order solution onto a finer linear space
T.rename("Temperature (C)", "temperature contour")
ofile = File(result_folder + "T.pvd") # not for parallel
ofile << T
############################### post-processing#####################
is_simulation_valid = True
error_message = ''
dx= Measure("dx", subdomain_data=solver.subdomains)
print("================= summary =================")
print("shear_heat, friction_heat by definition", shear_heat, friction_heat)
volume_shear_zone = assemble(unity*dx(shear_subdomain_id))
volume_friction_zone = assemble(unity*dx(friction_subdomain_id))
print("volume_shear_zone, volume_friction_zone by integral:", volume_shear_zone, volume_friction_zone)
heat_source = solver.body_source
heat1 = assemble(heat_source*dx(shear_subdomain_id))
heat2 = assemble(heat_source*dx(friction_subdomain_id))
heat_chip = assemble(heat_source*dx(chip_subdomain_id))
print("shear_heat, friction_heat, heating by chip (should be zero) by integration", heat1, heat2, heat_chip)
total_heat = assemble(heat_source*dx)
if using_3D:
heat_ratio = total_heat/(shear_heat + friction_heat)
else:
#total_heat = total_heat*cutter_thickness
heat_ratio = total_heat*cutter_thickness/(shear_heat + friction_heat)
print("total_heat, ratio of heat integral to the defined", total_heat, heat_ratio)
if math.fabs(heat_ratio - 1) > validation_tol:
error_message += "heat generation != heat source integration"
is_simulation_valid = False
print("========== heat loss from HTC =================")
ds= Measure("ds", subdomain_data=solver.boundary_facets)
# radiation is not added into cooling
cooling_frictinal_zone = assemble(htc_work*(T-T_ambient)*ds(friction_subdomain_id))
cooling_shear_zone = assemble(htc_work*(T-T_ambient)*ds(shear_subdomain_id))
print("cooling from friction and shear zone surface", cooling_frictinal_zone, cooling_shear_zone)
cooling_work = assemble(htc_work*(T-T_ambient)*ds(work_htc_boundary_id))
cooling_chip = assemble(htc_chip*(T-T_ambient)*ds(chip_htc_boundary_id))
cooling_tool = assemble(htc_cutter*(T-T_ambient)*ds(cutter_htc_boundary_id) +
htc_holder*(T-T_ambient)*ds(holder_htc_boundary_id))
cooling_total_HTC = cooling_work + cooling_chip + cooling_tool + cooling_frictinal_zone + cooling_shear_zone
cooling_HTC_all = assemble(htc_work*(T-T_ambient)*ds) # not all surface are HTC
print("convective cooling_work, cooling_chip, cooling_tool and holder, cooling_HTC_all",\
cooling_work, cooling_chip, cooling_tool, cooling_HTC_all)
print("ratio of HTC loss to generation", cooling_total_HTC/total_heat)
total_heat_loss = cooling_total_HTC
if considering_radiation:
Stefan_constant = 5.670367e-8 # W/m-2/K-4
m_ = emissivity * Stefan_constant
radiation_outflux = - m_*(T_ambient**4 - pow(T, 4))
R_work = assemble(radiation_outflux*ds(work_htc_boundary_id))
R_chip = assemble(radiation_outflux*ds(chip_htc_boundary_id))
R_tool = assemble(radiation_outflux*ds(cutter_htc_boundary_id) +
radiation_outflux*ds(holder_htc_boundary_id))
R_total = R_work + R_chip + R_tool
R_all_surfaces = assemble(radiation_outflux*ds)
total_heat_loss += R_total
print("radiative: cooling_work, cooling_chip, cooling_tool and holder", R_work, R_chip, R_tool, R_all_surfaces)
if math.fabs(R_total / R_all_surfaces- 1) > 0.3:
error_message += "radiation sum != radiation integration"
is_simulation_valid = False
print("ratio of heat generation radiative cooling", R_total/total_heat, R_all_surfaces/total_heat)
else:
R_total = 0
T_DG0 = interpolate(T, DG0)
did = np.asarray(solver.subdomains.array(), dtype=np.int32)
T_DG0.vector()[did != shear_subdomain_id] = 0.0
Tmax_shear_zone = np.max(T_DG0.vector().array())
# defined in salome_parameter.py, failed in 2D for v2017.2
try:
p_probe = Point(*point_shear_surface_center_coordinates)
T_probe = T(p_probe)
except:
T_probe = 0
Tmean_shear_zone = assemble(T*dx(shear_subdomain_id))/volume_shear_zone
Tmean_friction_zone = assemble(T*dx(friction_subdomain_id))/volume_friction_zone
Tmean_chip_zone = assemble(T*dx(chip_subdomain_id))/chip_volume
Tmax_friction_zone = np.max(T.vector().array())
T_analytical_shear_zone, T_analytical_friction_zone = get_analytical_T()
print('================ temperature prediction by FEA ==================')
print('Tmean_shear_zone = ', Tmean_shear_zone)
print('Tmax_shear_zone = ', Tmax_shear_zone, "T_probe = ", T_probe)
print('Tmean_chip_zone = ', Tmean_chip_zone)
print('Tmean_friction_zone = ', Tmean_friction_zone)
print('Tmax_friction_zone = ', Tmax_friction_zone)
if has_convective_velocity:
#chip material flow taking away from system, how to get T_chip_end, (chip_cross_area*chip_velocity) is known
#capacity = metal_density*metal_cp
chip_speed = cutting_speed * (feed_thickness/chip_thickness)
#QC = capacity * chip_speed* (cutter_thickness * chip_thickness)
#print("outflow heat = %f * delta_T"%QC)
#T_chip_end_center = T[p_chip_end_xyz]
surface_normal = FacetNormal(solver.mesh)
#area_shear_zone = assemble(unity*ds(shear_subdomain_id))
#area_friction_zone = assemble(unity*ds(friction_subdomain_id))
#print('area_shear_zone = ', area_shear_zone, "should ==", 2*l_AB * shear_heat_thickness + shear_heat_thickness*cutter_thickness)
#print('area_friction_zone = ', area_friction_zone, "should ==", 2*actual_friction_heat_length * friction_heat_thickness)
if using_nonlinear_loop:
_capacity = solver.material['capacity']
_conductivity = solver.material['thermal_conductivity']
elif using_nonlinear_thermal_properties: #CG, cutter has same material with metal, no difference
#T_DG0 = interpolate(T, DG0)
#_capacity = update_material_property(DG0, solver.subdomains, material_capacity_list, T_DG0, material_cutter['capacity'], metal_capacity_f)
#_conductivity = update_material_property(DG0, solver.subdomains, material_k_list, T_DG0, material_cutter['capacity'], metal_k_f)
_capacity = metal_capacity_f(T)
_conductivity = metal_k_f(T)
else:
_capacity = Constant(metal_density*metal_cp_0)
_conductivity = metal_k_0
_density = metal_density
system_heat_capacity = assemble((T-Constant(T_reference)) * _capacity*_density*dx)
print("characteristic time = ", system_heat_capacity/total_heat) # too big not quite usful
if using_mapping_bc:
#validation
print('============ mapping bc validation ================')
if using_3D:
_area_theory = l_AB*cutter_thickness
else:
_area_theory = l_AB
area_mapping = assemble(unity*ds(mapping_boundary_id))
print('area mapping bounadry and theroetical (should be equal): ', area_mapping, _area_theory)
area_mapped_shear = assemble(unity*ds(mapped_shear_boundary_id))
if using_workpiece_extra_extusion:
if math.fabs(area_mapping / (_area_theory) - 1) > validation_tol:
error_message += "\n mapping interface area is not equal\n"
is_simulation_valid = False
M_mapping = assemble(dot(surface_normal, velocity)*ds(mapping_boundary_id)) # not equal, why?
print('mass flux from mapping bounadries vs in theory (should be equal): ', M_mapping, cutting_speed*cutter_thickness*feed_thickness)
Q_mapping_bottom = assemble(dot(surface_normal, velocity) * (T-T_reference)*_capacity*ds(mapping_boundary_id))
Q_mapping_top = assemble(dot(surface_normal, velocity) * (T-T_reference)*_capacity*ds(mapped_shear_boundary_id))
print('heat flux from mapping bounadries (should be equal): ', Q_mapping_top, Q_mapping_bottom)
if using_workpiece_extra_extusion:
if math.fabs(math.fabs(Q_mapping_top / Q_mapping_bottom) - 1) > validation_tol:
error_message += "\n heat flux on mapping interfaces area is not equal\n"
is_simulation_valid = False
Q_mapping_work = assemble(_conductivity*dot(grad(T), surface_normal) * ds(mapping_boundary_id)) * -1
Q_mapping_chip = assemble(_conductivity*dot(grad(T), surface_normal) * ds(mapped_shear_boundary_id)) * -1
print("conductive heat transfer, Q_mapping_work, Q_mapping_chip", Q_mapping_work, Q_mapping_chip)
if using_chip_cutter_mapping_bc:
area_mapped_friction = assemble(unity*ds(mapped_friction_boundary_id))
print('area for a chip-cutter fricitonal interface and theroetical value (should be equal): ', \
area_mapped_friction, actual_friction_heat_length*cutter_thickness) # 2D has diff area
print('total area for mapping (should be equal to), and sum of cutter and work', \
area_mapping, area_mapped_friction+area_mapped_shear)
print('============ heat with mass flow ================')
# heat loss due to mass flow, should be zero
_tmp = dot(surface_normal, velocity) * (T-Constant(T_reference)) * _capacity
Q_friction = assemble(_tmp*ds(friction_subdomain_id))
print("heat flow with mass out of system from friction zone is:", Q_friction)
Q_shearing = assemble(_tmp*ds(shear_subdomain_id))
print("heat flow with mass out of system from sheairing zone is:", Q_shearing)
Q_chip = assemble(_tmp*ds(chip_htc_boundary_id))
print("heat flow with mass out of system from chip htc boundary is:", Q_chip)
Q_work = assemble(_tmp*ds(work_htc_boundary_id))
print("heat flow with mass out of system from work htc boundary (should be zero)is:", Q_work)
Q_cutter = assemble(_tmp*ds(cutter_htc_boundary_id))
print("heat flow with mass out of system from cutter htc is:", Q_cutter)
Q_holder = assemble(_tmp*ds(holder_htc_boundary_id))
print("heat flow with mass out of system from holder htc is:", Q_holder)
Q_chipend = assemble(_tmp*ds(chip_end_boundary_id))
print("heat flow with mass from chipend", Q_chipend)
if has_friction_transition_zone: # no using mapping bc for friction contact
Q_friction_transition_subdomain = assemble(_tmp*ds(friction_transition_subdomain_id))
print("heat flow with mass from friction_transition_subdomain", Q_friction_transition_subdomain)
Q_ds0 = assemble(_tmp*ds(0))
print("heat flow with mass from ds(0), should be zero", Q_ds0)
total_heat_loss += Q_chipend # Q_material_out_sum, excluding the workpiece outlet
"""
print('============ mass flow ================')
M_shearing = assemble(dot(surface_normal, velocity)*ds(shear_subdomain_id))
print("mass flow out of system from shearing zone boundary is:", M_shearing)
M_friction = assemble(dot(surface_normal, velocity)*ds(friction_subdomain_id))
print("mass flow out of system from friction boundary is:", M_friction)
M_work = assemble(dot(surface_normal, velocity)*ds(work_htc_boundary_id))
print("mass flow out of system from work is:", M_work)
M_chip = assemble(dot(surface_normal, velocity)*ds(chip_htc_boundary_id))
print("mass flow out of system from chip HTC boundary is:", M_chip)
M_chipend = assemble(dot(surface_normal, velocity)*ds(chip_end_boundary_id))
print("mass flow from chip end in theory VS integral at chipend", chip_speed * (cutter_thickness * chip_thickness), M_chipend)
"""
Q_material_out = assemble(_tmp*ds)
if workpiece_type_id == 0: #rectangle
#Q_bottom = cutting_speed * capacity *ds(work_bottom_boundary_id)
Q_inflow = assemble( (T-Constant(T_reference))* cutting_speed * _capacity * ds(work_bottom_boundary_id + 1))
#* cutter_thickness * (chip_start_y - work_bottom_y)
Q_outflow = assemble( (T-Constant(T_reference))* cutting_speed * _capacity * ds(work_bottom_boundary_id + 2))
print('inflow from left boundary and outflow from right bounadry is', Q_inflow, Q_outflow)
Q_bottom = assemble(_conductivity*dot(grad(T), surface_normal)*ds(work_bottom_boundary_id)) * -1 #flow out
if using_workpiece_extra_extusion:
Q_flowing_out_work = (Q_material_out - Q_chipend) + Q_bottom
else:
Q_flowing_out_work = (Q_outflow - Q_inflow) + Q_bottom
print('heat flow out from work oulet and bottom is:', Q_flowing_out_work)
total_heat_loss += Q_flowing_out_work
else: # disc clamping
Q_clamp = assemble(_conductivity*dot(grad(T), surface_normal)*ds(work_clamp_boundary_id)) * -1 #flow out
print('heat flux from clamp bounadry is', Q_clamp)
Q_flowing_out_work = Q_clamp + cooling_work
total_heat_loss += Q_flowing_out_work
Q_material_out_sum = Q_chip + Q_work + Q_cutter + Q_holder + Q_chipend + Q_outflow + Q_inflow
print("heat flow with mass out of system from all boundary byintegral (ds) and sum:", Q_material_out, Q_material_out_sum)
if math.fabs(Q_material_out_sum/Q_material_out - 1.0) > validation_tol*0.2:
error_message += "\n heat flow with mass out of system from all boundary byintegral (ds) and sum is not equal\n"
is_simulation_valid = False
print('=============== conduction heat loss ===========')
Q_conduction_all = assemble(_conductivity*dot(grad(T), surface_normal) * ds) * -1 # surface_normal pointing out
Qk_chipend = assemble(_conductivity*dot(grad(T), surface_normal)*ds(chip_end_boundary_id)) * -1# flow out
print('conductive heat flux from bottom and chipend bounadries', Q_bottom, Qk_chipend) #should be set zero-flux
Qk_holder_top = assemble(_conductivity*dot(grad(T), surface_normal) * ds(holder_top_boundary_id)) * -1 #flow out
Q_conduction_work = assemble(_conductivity*dot(grad(T), surface_normal) * ds(work_subdomain_id)) * -1
Q_conduction_chip = assemble(_conductivity*dot(grad(T), surface_normal) * ds(chip_subdomain_id)) * -1
Q_conduction_tool = assemble(_conductivity*dot(grad(T), surface_normal) * ds(holder_subdomain_id)) * -1 +\
assemble(_conductivity*dot(grad(T), surface_normal) * ds(cutter_subdomain_id)) * -1
Qk_bottom = assemble(_conductivity*dot(grad(T), surface_normal) * ds(work_bottom_boundary_id)) * -1
Qk_inlet= assemble(_conductivity*dot(grad(T), surface_normal) * ds(work_bottom_boundary_id + 1)) * -1
Qk_outlet= assemble(_conductivity*dot(grad(T), surface_normal) * ds(work_bottom_boundary_id + 2)) * -1
print('conductive heat at holder top, Qk_bottom, Qk_inlet, Qk_outlet, conduction all is',\
Qk_holder_top, Qk_bottom, Qk_inlet, Qk_outlet, Q_conduction_all)
print('Q_conduction_tool, Q_conduction_work, Q_conduction_chip',\
Q_conduction_tool, Q_conduction_work, Q_conduction_chip)
total_heat_loss += Qk_holder_top
print('=============== heat loss ratios ===========')
Q_baseline = total_heat_loss
print("convection, radiation, Q_flowing_out_work, Q_bottom, Q_chipend, Q_holder_top")
_ratios = np.array([cooling_total_HTC, R_total, Q_flowing_out_work, Q_bottom, Q_chipend, Qk_holder_top])/Q_baseline
print(_ratios)
Q_total_passing_friction_interface = (Qk_holder_top + cooling_tool)
partition_coeff_shear = 1.0 - Q_flowing_out_work/ shear_heat
partition_coeff_friction = 1.0 - Q_total_passing_friction_interface/ friction_heat
print("partition_coeff_shear, partition_coeff_friction = ", partition_coeff_shear, partition_coeff_friction)
print("ratio of total heat loss {}, heat generation {}, ratio {}"\
.format(total_heat_loss, total_heat, total_heat_loss/total_heat))
if math.fabs(total_heat_loss/total_heat - 1.0) > validation_tol:
error_message += "\n heat generaton and heat loss are not equal\n"
is_simulation_valid = False
ts_after_post_processing = time.time()
print('=============== time consumption ===========')
print('preprocessing time', ts_after_preprocessing - ts_before_preprocessing)
print('assembling and LA solving time', ts_before_postprocessing - ts_after_preprocessing)
if using_debug:
#plot(solver.boundary_facets)
bfile = File(result_folder + "boundary.pvd") # not working for parallel
bfile << solver.boundary_facets
if using_debug:
ofile = File(result_folder + "HeatSource.pvd") # not for parallel
ofile << solver.body_source #it is possible to save DG0 data
if has_convective_velocity and using_debug:
ofile = File(result_folder + "U.pvd") # not for parallel, using hdf5 for parallel
ofile << velocity
if not is_batch_mode:
if using_VTK:
plot(solver.boundary_facets, title = "boundary id")
plot(solver.subdomains, title = "subdomain id")
plot(heat_source, title = "heat source density (W/m3)")
#plot(solver.material['specific_heat_capacity'], title = "specific_heat_capacity") # can not plot DG
plot(velocity, title = "pseudo convective velocity")
interactive()
solver.plot() # plt.legend() does not work: warnings.warn("No labelled objects found. "
else:
import matplotlib.pyplot as plt
solver.plot()
plt.show()
#`paraview --data=T.pvd`
if is_simulation_valid == False:
print("======== the simulation is INVALID ! ==================")
print(error_message)
#if not using_workpiece_extra_extusion:
# sys.exit()
else:
print("======== the simulation is completed sucessfully ==================")
thermal_number = metal_density * metal_cp_f(T_analytical_shear_zone) * cutting_speed * feed_thickness / metal_k_f(T_analytical_shear_zone)
partition_coeff_eq = get_heat_partition(thermal_number)
#also save thermal_number
from datetime import datetime
time_stamp = datetime.utcnow().isoformat()
parameters = [time_stamp, case_id, workpiece_type_id,
feed_thickness, chip_thickness, cutter_angle_v, shear_angle, cutting_speed, F_cutting, F_thrush,
shear_heat_thickness, friction_heat_thickness, tool_chip_interface_length,
T_ambient, T_analytical_shear_zone, T_analytical_friction_zone,
Tmean_shear_zone, Tmax_shear_zone, Tmean_friction_zone, Tmax_friction_zone,
thermal_number, partition_coeff_eq, partition_coeff_shear, partition_coeff_friction, is_simulation_valid]
output = ",".join([str(v) for v in parameters])
with open(result_filename, 'a') as wf:
wf.write(output)
wf.write('\n')
if extracting_data:
#sys.path.append('/opt/fenicstools/') # this package must be installed
from fenicstools import Probes
dist = np.linspace(0, tool_chip_interface_length, 20)
probing_pts = np.array([(math.sin(cutter_angle_v*pi/180)*l, math.cos(cutter_angle_v*pi/180)*l, 0) for l in dist])
probes = Probes(probing_pts.flatten(), solver.function_space)
probes(T) # evaluate f at all probing points
extracted_datafile = result_folder + datafile_root + '__' + param_name + '__' + str(param_value) + '.csv'
np.savetxt(probes.array(), extracted_datafile)
print(probes.array())
def main():
parser = argparse.ArgumentParser(description="Average various files")
parser.add_argument("-l",
"--list",
nargs="+",
help="List of folders",
required=True)
parser.add_argument("-f",
"--fields",
nargs="+",
default=None,
help="Sought fields")
parser.add_argument("-t", "--time", type=float, default=0, help="Time")
parser.add_argument("--show", action="store_true", help="Show")
parser.add_argument("-R",
"--radius",
type=float,
default=None,
help="Radial distance")
args = parser.parse_args()
tss = []
for folder in args.list:
ts = InterpolatedTimeSeries(folder, sought_fields=args.fields)
tss.append(ts)
Ntss = len(tss)
all_fields_ = []
for ts in tss:
all_fields_.append(set(ts.fields))
all_fields = list(set.intersection(*all_fields_))
if args.fields is None:
fields = all_fields
else:
fields = list(set.intersection(set(args.fields), set(all_fields)))
f_in = []
for ts in tss:
f_in.append(ts.functions())
# Using the first timeseries to define the spaces
# Could be redone to e.g. a finer, structured mesh.
# ref_mesh = tss[0].mesh
ref_spaces = dict([(field, f.function_space())
for field, f in f_in[0].items()])
if "psi" not in fields:
exit("No psi")
# Loading geometry
rad_t = []
rad_s = []
g = []
g_inv = []
for ts in tss:
# Should compute these from the curvature tensor
rad_t.append(
df.interpolate(df.Expression("x[0]", degree=2), ts.function_space))
rad_s.append(
df.interpolate(df.Expression("x[1]", degree=2), ts.function_space))
g_loc = [ts.function(name) for name in ["gtt", "gst", "gss"]]
g_inv_loc = [ts.function(name) for name in ["g_tt", "g_st", "g_ss"]]
for ij in range(3):
ts.set_val(g_loc[ij], ts.g[:, ij])
# Could compute the following locally instead of loading
ts.set_val(g_inv_loc[ij], ts.g_inv[:, ij])
g.append(g_loc)
g_inv.append(g_inv_loc)
costheta = df.Function(ref_spaces["psi"], name="costheta")
for its, ts in enumerate(tss):
if args.time is not None:
step, time = get_step_and_info(ts, args.time)
ts.update(f_in[its]["psi"], "psi", step)
psi = f_in[its]["psi"]
psi_t = df.project(psi.dx(0), ts.function_space)
psi_s = df.project(psi.dx(1), ts.function_space)
gp_t = psi_t.vector().get_local()
gp_s = psi_s.vector().get_local()
gtt, gst, gss = [g_ij.vector().get_local() for g_ij in g[its]]
g_tt, g_st, g_ss = [g_ij.vector().get_local() for g_ij in g_inv[its]]
rht = rad_t[its].vector().get_local()
rhs = rad_s[its].vector().get_local()
rh_norm = np.sqrt(g_tt * rht**2 + g_ss * rhs**2 + 2 * g_st * rht * rhs)
gp_norm = np.sqrt(gtt * gp_t**2 + gss * gp_s**2 +
2 * gst * gp_t * gp_s)
costheta_loc = df.Function(ts.function_space)
costheta_loc.vector()[:] = abs(
(rht * gp_t + rhs * gp_s) / (rh_norm * gp_norm + 1e-8))
costheta_intp = interpolate_nonmatching_mesh(costheta_loc,
ref_spaces["psi"])
costheta.vector()[:] += costheta_intp.vector().get_local() / Ntss
dump_xdmf(costheta)
if args.show:
fig = df.plot(costheta)
plt.colorbar(fig)
plt.show()
if args.radius is not None and args.radius > 0:
Nr, Nphi = 256, 256
r_lin = np.linspace(0., args.radius, Nr)
phi_lin = np.linspace(0, 2 * np.pi, Nphi, endpoint=False)
R, Phi = np.meshgrid(r_lin, phi_lin)
r = R.reshape((Nr * Nphi, 1))
phi = Phi.reshape((Nr * Nphi, 1))
xy = np.hstack((r * np.cos(phi), r * np.sin(phi)))
pts = xy.flatten()
probes = Probes(pts, ref_spaces["psi"])
probes(costheta)
ct = probes.array()
CT = ct.reshape(R.shape)
g_r = CT.mean(axis=0)
g_phi = CT.mean(axis=1)
plt.figure()
plt.plot(r_lin, g_r)
plt.ylabel("g(r)")
plt.xlabel("r")
plt.figure()
plt.plot(phi_lin, g_phi)
plt.xlabel("phi")
plt.ylabel("g(phi)")
plt.show()