# #Copyright (C) 2011 F.D.E. Committee #This data file is free software - you can redistribute it and/or #modify it under the terms of the GNU General Public License as #published by the Free Software Foundation; either version 2 of the #license, or (at your option) any later version. #This data file is distributed in the hope that it will be useful, #but WITHOUT ANY WARRANTY - without even the implied warranty of #MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the #GNU General PUblic License for more details. #You should have received a copy of the GNU General PUblic License #along with this program - if not, write to the Free Software #Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA #Try also their web site: http://www.gnu.org/copyleft/gpl.html # # Note: Fitted Data !! # AA5052-H32 Aluminum from 4.8mm sheet, Kaiser Aluminum # (may be in transvese direction) # Material cyclically hardens substantially (31% at 0.01 strain Ampl.) # Ref.: W.A.Wong, "Monotonic and Cyclic Fatigue Properties of Automotive # Aluminum Alloys, SAE paper 840120 # Data digitized from graphs and may contain errors. # #FileType= strain_life #DataType= fitted #TIMEcol= 0 #NAME= AA5052-H32 #NAME= Aluminum #Stress_units= mpa #Strain_units= strain #Sy= 167. mpa 0.2pc offset #Su= 231. #eu= 0 #strain at Su not reported #E= 69600. #FractureStrain= 0.95 #FractureStress= 473. #monotonic_K= 371 #monotonic_n= 0.156 #BHN= 0. not reported #%RA= 61.5 % #saedigcurve_v2.2.f starts. #NOTE!! The Following Points are <b>FITTED DATA:</b>#NOTE!! Fitted Stress computed using Experm. K' and n' #StrAmpl 2Nf StsAmpl So PlasStrAmpl IniMod NeuberStressAmpl .95 1 473 0 .943 69600. #Fitted_point monotonic 0.01691 200 239.8 0. 0.01346 69600. #Fitted_point 0.01024 500 231.4 0. 0.00692 69600. #Fitted_point 0.00739 1000 225.2 0. 0.00415 69600. #Fitted_point 0.00561 2000 219.0 0. 0.00246 69600. #Fitted_point 0.00421 5000 210.6 0. 0.00118 69600. #Fitted_point 0.00357 10000 203.9 0. 0.00064 69600. #Fitted_point 0.00313 20000 196.3 0. 0.00031 69600. #Fitted_point 0.00274 50000 184.3 0. 0.00010 69600. #Fitted_point 0.00253 100000 174.1 0. 0.00003 69600. #Fitted_point 0.00237 200000 164.1 0. 0.00001 69600. #Fitted_point 0.00219 500000 152.2 0. 0.00000 69600. #Fitted_point 0.00207 1000000 144.2 0. 0.00000 69600. #Fitted_point 0.00197 2000000 137.0 0. 0.00000 69600. #Fitted_point #No test data beyond 2Nf= 2.3M reversals. 0.00184 5000000 128.3 0. 0.00000 69600. #Fitted_point 0.00176 10000000 122.3 0. 0.00000 69600. #Fitted_point #