Source code for armi.materials.inconel600

# Copyright 2019 TerraPower, LLC
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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"""Inconel600."""
import numpy

from armi.materials.material import Material
from armi.utils.units import getTc


[docs]class Inconel600(Material): propertyValidTemperature = { "heat capacity": ((20, 900), "C"), "linear expansion": ((21.0, 900.0), "C"), "linear expansion percent": ((21.0, 900.0), "C"), "thermal conductivity": ((20.0, 800.0), "C"), } references = { "mass fractions": "http://www.specialmetals.com/documents/Inconel%20alloy%20600.pdf", "density": "http://www.specialmetals.com/documents/Inconel%20alloy%20600.pdf", "thermalConductivity": "http://www.specialmetals.com/documents/Inconel%20alloy%20600.pdf", "specific heat": "http://www.specialmetals.com/documents/Inconel%20alloy%20600.pdf", "linear expansion percent": "http://www.specialmetals.com/documents/Inconel%20alloy%20600.pdf", "linear expansion": "http://www.specialmetals.com/documents/Inconel%20alloy%20600.pdf", } refTempK = 294.15 def __init__(self): Material.__init__(self) self.refDens = 8.47 # g/cc # Only density measurement presented in the reference. Presumed to be performed at 21C since # this was the reference temperature for linear expansion measurements.
[docs] def setDefaultMassFracs(self): massFracs = { "NI": 0.7541, "CR": 0.1550, "FE": 0.0800, "C": 0.0008, "MN55": 0.0050, "S": 0.0001, "SI": 0.0025, "CU": 0.0025, } for element, massFrac in massFracs.items(): self.setMassFrac(element, massFrac)
[docs] def polyfitThermalConductivity(self, power=2): r""" Calculates the coefficients of a polynomial fit for thermalConductivity. Based on data from http://www.specialmetals.com/documents/Inconel%20alloy%20600.pdf Fits a polynomial to the data set and returns the coefficients. Parameters ---------- power : int, optional power of the polynomial fit equation Returns ------- list of length 'power' containing the polynomial fit coefficients for thermal conductivity. """ Tc = [20.0, 100.0, 200.0, 300.0, 400.0, 500.0, 600.0, 700.0, 800.0] k = [14.9, 15.9, 17.3, 19.0, 20.5, 22.1, 23.9, 25.7, 27.5] return numpy.polyfit(numpy.array(Tc), numpy.array(k), power).tolist()
[docs] def thermalConductivity(self, Tk=None, Tc=None): r""" Returns the thermal conductivity of Inconel600. Parameters ---------- Tk : float, optional temperature in (K) Tc : float, optional Temperature in (C) Returns ------- thermalCond : float thermal conductivity in W/m/C """ Tc = getTc(Tc, Tk) self.checkPropertyTempRange("thermal conductivity", Tc) thermalCond = 3.4938e-6 * Tc**2 + 1.3403e-2 * Tc + 14.572 return thermalCond # W/m-C
[docs] def polyfitHeatCapacity(self, power=2): r""" Calculates the coefficients of a polynomial fit for heatCapacity. Based on data from http://www.specialmetals.com/documents/Inconel%20alloy%20600.pdf Fits a polynomial to the data set and returns the coefficients. Parameters ---------- power : int, optional power of the polynomial fit equation Returns ------- list of length 'power' containing the polynomial fit coefficients for heat capacity. """ Tc = [20.0, 100.0, 200.0, 300.0, 400.0, 500.0, 600.0, 700.0, 800.0, 900.0] cp = [444.0, 465.0, 486.0, 502.0, 519.0, 536.0, 578.0, 595.0, 611.0, 628.0] return numpy.polyfit(numpy.array(Tc), numpy.array(cp), power).tolist()
[docs] def heatCapacity(self, Tk=None, Tc=None): r""" Returns the specific heat capacity of Inconel600. Parameters ---------- Tk : float, optional Temperature in Kelvin. Tc : float, optional Temperature in degrees Celsius. Returns ------- heatCapacity : float heat capacity in J/kg/C """ Tc = getTc(Tc, Tk) self.checkPropertyTempRange("heat capacity", Tc) heatCapacity = 7.4021e-6 * Tc**2 + 0.20573 * Tc + 441.3 return heatCapacity # J/kg-C
[docs] def polyfitLinearExpansionPercent(self, power=2): r""" Calculates the coefficients of a polynomial fit for linearExpansionPercent. Based on data from http://www.specialmetals.com/documents/Inconel%20alloy%20600.pdf. Uses mean CTE values to find percent thermal strain values. Fits a polynomial to the data set and returns the coefficients. Parameters ---------- power : int, optional power of the polynomial fit equation Returns ------- list of length 'power' containing the polynomial fit coefficients for linearExpansionPercent """ refTempC = getTc(None, Tk=self.refTempK) Tc = [100.0, 200.0, 300.0, 400.0, 500.0, 600.0, 700.0, 800.0, 900.0] alpha_mean = [ 1.33e-05, 1.38e-05, 1.42e-05, 1.45e-05, 1.49e-05, 1.53e-05, 1.58e-05, 1.61e-05, 1.64e-05, ] linExpPercent = [0.0] for i, alpha in enumerate(alpha_mean): linExpPercentVal = 100.0 * alpha * (Tc[i] - refTempC) linExpPercent.append(linExpPercentVal) Tc.insert(0, refTempC) return numpy.polyfit( numpy.array(Tc), numpy.array(linExpPercent), power ).tolist()
[docs] def linearExpansionPercent(self, Tk=None, Tc=None): r""" Returns percent linear expansion of Inconel600. Parameters ---------- Tk : float temperature in (K) Tc : float Temperature in (C) Returns ------- linExpPercent in %-m/m/C """ Tc = getTc(Tc, Tk) self.checkPropertyTempRange("linear expansion percent", Tc) linExpPercent = 3.722e-7 * Tc**2 + 1.303e-3 * Tc - 2.863e-2 return linExpPercent
[docs] def linearExpansion(self, Tk=None, Tc=None): r""" From http://www.specialmetals.com/documents/Inconel%20alloy%20600.pdf. Using the correlation for linearExpansionPercent, the 2nd order polynomial is divided by 100 to convert from percent strain to strain, then differentiated with respect to temperature to find the correlation for instantaneous linear expansion. i.e. for a linearExpansionPercent correlation of a*Tc**2 + b*Tc + c, the linearExpansion correlation is 2*a/100*Tc + b/100 2*(3.722e-7/100.0)*Tc + 1.303e-3/100.0 Parameters ---------- Tk : float temperature in (K) Tc : float Temperature in (C) Returns ------- linExp in m/m/C """ Tc = getTc(Tc, Tk) self.checkPropertyTempRange("linear expansion", Tc) linExp = 7.444e-9 * Tc + 1.303e-5 return linExp