There are many possible solutions and options for a custom Pythonic material library. The basic idea is to be able to store and later on read a set of materials as an alternative to copy and paste the dictionary into the code.
A data structure to store all materials could for example be another dictionary or a list. Since there is no obvious need for having an associated array, a list will work just fine.
Copy the following into a python file:
# matlib.py
materials=[]
materials.append( {"name": "E-glass/Epoxy", "units": "MPa-mm-Mg", "type": "UD", "fiber": "E-glass",
"Vf": 0.55, "rho": 2000E-12,
"description": "Typical UD E-glass/Epoxy from TMM4175",
"E1": 40000, "E2": 10000, "E3": 10000,
"v12": 0.3, "v13": 0.3, "v23": 0.4,
"G12": 3800, "G13": 3800, "G23": 3400,
"a1": 7e-06, "a2": 2.2e-05, "a3": 2.2e-05,
"XT": 1000, "YT": 40, "ZT": 40,
"XC": 700, "YC": 120, "ZC": 120,
"S12": 70, "S13": 70, "S23": 40,
"f12":-0.5, "f13":-0.5, "f23":-0.5} )
materials.append( {"name": "S-glass/Epoxy", "units": "MPa-mm-Mg", "type": "UD", "fiber": "S-glass",
"Vf": 0.55, "rho": 2000E-12,
"description": "Typical UD S-glass/Epoxy from TMM4175",
"E1": 48000, "E2": 11000, "E3": 11000,
"v12": 0.3, "v13": 0.3, "v23": 0.4,
"G12": 4200, "G13": 4200, "G23": 3600,
"a1": 4e-06, "a2": 2.0e-05, "a3": 2.0e-05,
"XT": 1300, "YT": 40, "ZT": 40,
"XC": 800, "YC": 140, "ZC": 140,
"S12": 70, "S13": 70, "S23": 40,
"f12":-0.5, "f13":-0.5, "f23":-0.5} )
materials.append( {"name": "Kevlar-49/Epoxy", "units": "MPa-mm-Mg", "type": "UD", "fiber": "Kevlar-49",
"Vf": 0.55, "rho": 1400E-12,
"description": "Typical UD Kevlar-49/Epoxy from TMM4175",
"E1": 73000, "E2": 5000, "E3": 5000,
"v12": 0.35, "v13": 0.35, "v23": 0.45,
"G12": 2200, "G13": 2200, "G23": 1700,
"a1": -1e-06, "a2": 5.0e-05, "a3": 5.0e-05,
"XT": 1400, "YT": 20, "ZT": 20,
"XC": 300, "YC": 120, "ZC": 120,
"S12": 40, "S13": 40, "S23": 20,
"f12":-0.5, "f13":-0.5, "f23":-0.5} )
materials.append( {"name": "Carbon/Epoxy(a)", "units": "MPa-mm-Mg", "type": "UD", "fiber": "Carbon",
"Vf": 0.55, "rho": 1600E-12,
"description": "Typical low modulus carbon/Epoxy from TMM4175",
"E1": 130000, "E2": 10000, "E3": 10000,
"v12": 0.28, "v13": 0.28, "v23": 0.5,
"G12": 4500, "G13": 4500, "G23": 3500,
"a1": -0.5e-06, "a2": 3.0e-05, "a3": 3.0e-05,
"XT": 1800, "YT": 40, "ZT": 40,
"XC": 1200, "YC": 180, "ZC": 180,
"S12": 70, "S13": 70, "S23": 40,
"f12":-0.5, "f13":-0.5, "f23":-0.5} )
materials.append( {"name": "Carbon/Epoxy(b)", "units": "MPa-mm-Mg", "type": "UD", "fiber": "Carbon",
"Vf": 0.55, "rho": 1700E-12,
"description": "Typical high modulus carbon/Epoxy from TMM4175",
"E1": 330000, "E2": 8000, "E3": 8000,
"v12": 0.28, "v13": 0.28, "v23": 0.5,
"G12": 4000, "G13": 4000, "G23": 2700,
"a1": -0.7e-06, "a2": 3.0e-05, "a3": 3.0e-05,
"XT": 1000, "YT": 40, "ZT": 40,
"XC": 800, "YC": 100, "ZC": 100,
"S12": 70, "S13": 70, "S23": 40,
"f12":-0.5, "f13":-0.5, "f23":-0.5} )
def get(matname):
for m in materials:
if m['name']==matname:
return m
return False
def printlist():
for m in materials:
print(m['name'])
def newMaterial(**kwargs):
m={}
for key in kwargs:
m.update({key:kwargs[key]})
return m
Then, in your notebook:
import matlib
Listing of all materials:
matlib.printlist()
A specific material by name:
m1 = matlib.get('Carbon/Epoxy(a)')
print(m1)
Comparing properties, for example longitudinal modulus:
for m in matlib.materials:
print(m['name'], m['E1'])
Writing the list of materials to a file using json:
import json
with open('TMM4175Matlib.txt', 'w') as file:
file.write(json.dumps(matlib.materials))
The file written above contains now the data structure matlib.materials which is the list of materials. It can be read into a new variable using json:
with open('TMM4175Matlib.txt', "r") as file:
read_materials = json.load(file)
Verifying:
for m in read_materials:
print(m['name'])
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