TTT and CCT Curves of Ni-Al-Cr System
TTT and CCT Curves of Ni-Al-Cr System
This example simulates the precipitation of gamma-prime phase from gamma phase in a Ni-Al-Cr alloy. It demonstrates how to run TTT(temperature-time-transformation) and CCT(continuous-cooling-transformation) diagrams. It also shows (1) how to set up objects(the system, precipitate phase, and matrix phase) and then reuse them, and (2) how to set an alias for the precipitate phase
from tc_python import *
import matplotlib.pyplot as plt
with TCPython():
system = (SetUp()
.set_cache_folder(os.path.basename(__file__) + "_cache")
.select_thermodynamic_and_kinetic_databases_with_elements("NIDEMO", "MNIDEMO", ["Ni", "Al", "Cr"])
.select_phase("DIS_FCC_A1")
.select_phase("FCC_L12#2")
.get_system()
)
precip = PrecipitatePhase("FCC_L12#2").set_interfacial_energy(0.023).set_alias('GAMMA_PRIME')
matrix = MatrixPhase("DIS_FCC_A1").add_precipitate_phase(precip)
ttt_results = (system.with_ttt_precipitation_calculation()
.set_composition_unit(CompositionUnit.MOLE_PERCENT)
.set_composition("Al", 10)
.set_composition("Cr", 10)
.with_matrix_phase(matrix)
.set_min_temperature(1000)
.set_max_temperature(1160)
.set_temperature_step(10)
.set_max_annealing_time(1.0e6)
.stop_at_volume_fraction_of_phase(1.e-4)
.calculate()
)
cct_results = (system.with_cct_precipitation_calculation()
.set_composition_unit(CompositionUnit.MOLE_PERCENT)
.set_composition("Al", 10)
.set_composition("Cr", 10)
.with_matrix_phase(matrix)
.set_min_temperature(1000)
.set_max_temperature(1200)
.set_cooling_rates([1., 1.e1, 1.e2, 1.e3])
.stop_at_volume_fraction_of_phase(1.e-4)
.calculate()
)
time_1, temperature_1 = ttt_results.get_result_for_precipitate("GAMMA_PRIME")
time_2, temperature_2 = cct_results.get_result_for_precipitate("GAMMA_PRIME")
# Plot result
fig, ax = plt.subplots()
fig.suptitle('TTT and CCT', fontsize=14, fontweight='bold')
ax.set_xlabel('Time [s]')
ax.set_ylabel('Temperature [K]')
ax.semilogx(time_1, temperature_1, 'b-', label="GAMMA_PRIME (TTT)")
ax.semilogx(time_2, temperature_2, 'r--', label="GAMMA_PRIME (CCT)")
ax.legend()
plt.show()
