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Commit a712eaa3 authored by Boman Romain's avatar Boman Romain
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add new models from Valentin

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models/CLIpro/500k/M_PTP_R.stl 0 → 100644 LFS
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models/CLIpro/500k/M_PTS_L.stl 0 → 100644 LFS
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models/CLIpro/500k/M_PTS_R.stl 0 → 100644 LFS
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models/CLIpro/750k/CLIpro_jaw_750k.stl 0 → 100644 LFS
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models/CLIpro/750k/Clidastes propython FHSM17576 750k.wrp 0 → 100644 LFS
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models/CLIpro/750k/M_AE_L1.stl 0 → 100644 LFS
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models/CLIpro/750k/M_AE_L2.stl 0 → 100644 LFS
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models/CLIpro/750k/M_AE_R1.stl 0 → 100644 LFS
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models/CLIpro/750k/M_AE_R2.stl 0 → 100644 LFS
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models/CLIpro/750k/M_AME_L.stl 0 → 100644 LFS
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models/CLIpro/750k/M_AME_R.stl 0 → 100644 LFS
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models/CLIpro/750k/M_AMP_L.stl 0 → 100644 LFS
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models/CLIpro/750k/M_AMP_R.stl 0 → 100644 LFS
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models/CLIpro/750k/M_PTP_L.stl 0 → 100644 LFS
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models/CLIpro/750k/M_PTP_R.stl 0 → 100644 LFS
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models/CLIpro/750k/M_PTS_L.stl 0 → 100644 LFS
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models/CLIpro/750k/M_PTS_R.stl 0 → 100644 LFS
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models/CLIpro_150k_15_1.py 0 → 100644
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#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# Dolicorhynchops osborni FHSM VP404
# 10k faces on the mandible surface
def parms(d={}):
p = {}
path = 'CLIpro/150k'
p['mandible'] = f'{path}/CLIpro_jaw_150k.stl'
p['teeth'] = [[-13.654129, -90.974480, 4.162612],
[14.185822, -89.850540, 8.610174]]
p['LTMJ'] = [47.751984, 205.253143, 26.247160]
p['RTMJ'] = [-47.122223, 203.473282, 34.349510]
p['muscles'] = [
{
'file': f'{path}/M_AE_L1.stl',
'force': 100.61,
'focalpt': [47.680521, 181.590153, 83.449286],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AE_L2.stl',
'force': 100.61,
'focalpt': [47.680521, 181.590153, 83.449286],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AE_R1.stl',
'force': 100.42,
'focalpt': [-46.432835, 183.211827, 82.975638],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AE_R2.stl',
'force': 100.42,
'focalpt': [-46.432835, 183.211827, 82.975638],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AME_L.stl',
'force': 77.85,
'focalpt': [43.531105, 182.179642, 83.287358],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AME_R.stl',
'force': 74.91,
'focalpt': [-42.557619, 183.499002, 83.210456],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AMP_L.stl',
'force': 60.38,
'focalpt': [40.792943, 199.343446, 61.672899],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AMP_R.stl',
'force': 60.63,
'focalpt': [-45.202802, 197.737902, 61.873620],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_PTP_L.stl',
'force': 286.95,
'focalpt': [16.389091, 189.529359, 78.967938],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_PTP_R.stl',
'force': 322.07,
'focalpt': [-16.389091, 189.529359, 78.967938],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_PTS_L.stl',
'force': 57.40,
'focalpt': [17.442241, 165.807955, 80.338773],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_PTS_R.stl',
'force': 60.05,
'focalpt': [-12.261135, 168.629401, 81.345746],
'method': 'T+N' # 'U', 'T', 'T+N'
}
]
p['fixations'] = {
'teeth': ['z'],
'LTMJ': ['x', 'z','y'],
'RTMJ': ['x', 'z','y']
}
# material properties
p['density'] = 1.662e-9 # [T/mm³] - bone: 1.850 kg/l
p['Young'] = 15000. # [MPa] elastic modulus - bone: 17-20 GPa
p['Poisson'] = 0.3 # [-] Poisson's ratio
p.update(d)
return p
def getMetafor(p={}):
import mandiblemodel as model
return model.getMetafor(parms(p))
models/CLIpro_150k_15_2.py 0 → 100644
+ 106
− 0
View file @ a712eaa3
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# Dolicorhynchops osborni FHSM VP404
# 10k faces on the mandible surface
def parms(d={}):
p = {}
path = 'CLIpro/150k'
p['mandible'] = f'{path}/CLIpro_jaw_150k.stl'
p['teeth'] = [[-34.115112, 21.823414, 10.233394],
[32.383774, 21.721252, 11.580667]]
p['LTMJ'] = [47.751984, 205.253143, 26.247160]
p['RTMJ'] = [-47.122223, 203.473282, 34.349510]
p['muscles'] = [
{
'file': f'{path}/M_AE_L1.stl',
'force': 100.61,
'focalpt': [47.680521, 181.590153, 83.449286],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AE_L2.stl',
'force': 100.61,
'focalpt': [47.680521, 181.590153, 83.449286],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AE_R1.stl',
'force': 100.42,
'focalpt': [-46.432835, 183.211827, 82.975638],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AE_R2.stl',
'force': 100.42,
'focalpt': [-46.432835, 183.211827, 82.975638],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AME_L.stl',
'force': 77.85,
'focalpt': [43.531105, 182.179642, 83.287358],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AME_R.stl',
'force': 74.91,
'focalpt': [-42.557619, 183.499002, 83.210456],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AMP_L.stl',
'force': 60.38,
'focalpt': [40.792943, 199.343446, 61.672899],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AMP_R.stl',
'force': 60.63,
'focalpt': [-45.202802, 197.737902, 61.873620],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_PTP_L.stl',
'force': 286.95,
'focalpt': [16.389091, 189.529359, 78.967938],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_PTP_R.stl',
'force': 322.07,
'focalpt': [-16.389091, 189.529359, 78.967938],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_PTS_L.stl',
'force': 57.40,
'focalpt': [17.442241, 165.807955, 80.338773],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_PTS_R.stl',
'force': 60.05,
'focalpt': [-12.261135, 168.629401, 81.345746],
'method': 'T+N' # 'U', 'T', 'T+N'
}
]
p['fixations'] = {
'teeth': ['z'],
'LTMJ': ['x', 'z','y'],
'RTMJ': ['x', 'z','y']
}
# material properties
p['density'] = 1.662e-9 # [T/mm³] - bone: 1.850 kg/l
p['Young'] = 15000. # [MPa] elastic modulus - bone: 17-20 GPa
p['Poisson'] = 0.3 # [-] Poisson's ratio
p.update(d)
return p
def getMetafor(p={}):
import mandiblemodel as model
return model.getMetafor(parms(p))
models/CLIpro_150k_7_1.py 0 → 100644
+ 106
− 0
View file @ a712eaa3
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# Dolicorhynchops osborni FHSM VP404
# 10k faces on the mandible surface
def parms(d={}):
p = {}
path = 'CLIpro/150k'
p['mandible'] = f'{path}/CLIpro_jaw_150k.stl'
p['teeth'] = [[-13.654129, -90.974480, 4.162612],
[14.185822, -89.850540, 8.610174]]
p['LTMJ'] = [47.751984, 205.253143, 26.247160]
p['RTMJ'] = [-47.122223, 203.473282, 34.349510]
p['muscles'] = [
{
'file': f'{path}/M_AE_L1.stl',
'force': 100.61,
'focalpt': [47.666592, 175.921521, 79.560751],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AE_L2.stl',
'force': 100.61,
'focalpt': [47.666592, 175.921521, 79.560751],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AE_R1.stl',
'force': 100.42,
'focalpt': [-46.419570, 177.561510, 79.317629],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AE_R2.stl',
'force': 100.42,
'focalpt': [-46.419570, 177.561510, 79.317629],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AME_L.stl',
'force': 77.85,
'focalpt': [43.567966, 176.516406, 79.835879],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AME_R.stl',
'force': 74.91,
'focalpt': [-42.606496, 177.966337, 79.681598],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AMP_L.stl',
'force': 60.38,
'focalpt': [40.948735, 196.405144, 60.200407],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_AMP_R.stl',
'force': 60.63,
'focalpt': [-45.187592, 194.885808, 60.386860],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_PTP_L.stl',
'force': 286.95,
'focalpt': [16.500735, 183.994988, 75.391863],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_PTP_R.stl',
'force': 322.07,
'focalpt': [-16.500735, 183.994988, 75.391863],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_PTS_L.stl',
'force': 57.40,
'focalpt': [17.648059, 160.594971, 74.091063],
'method': 'T+N' # 'U', 'T', 'T+N'
},
{
'file': f'{path}/M_PTS_R.stl',
'force': 60.05,
'focalpt': [-12.290623, 162.896808, 75.891315],
'method': 'T+N' # 'U', 'T', 'T+N'
}
]
p['fixations'] = {
'teeth': ['z'],
'LTMJ': ['x', 'z','y'],
'RTMJ': ['x', 'z','y']
}
# material properties
p['density'] = 1.662e-9 # [T/mm³] - bone: 1.850 kg/l
p['Young'] = 15000. # [MPa] elastic modulus - bone: 17-20 GPa
p['Poisson'] = 0.3 # [-] Poisson's ratio
p.update(d)
return p
def getMetafor(p={}):
import mandiblemodel as model
return model.getMetafor(parms(p))
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