# #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 !! # AA5454 ColdForged Aluminum. Specm.cut from parts. Tested as-forged. # Cyclically softens about 4%(stress) at 0.01 Strain Ampl. # Ref.: W.A.Wong, "Monotonic and Cyclic Fatigue Properties of Automotive # Aluminum Alloys, SAE paper 840120 # Data digitized from graph and may contain errors. # #FileType= strain_life #DataType= fitted #TIMEcol= 0 #NAME= AA5454 #NAME= ColdForged #NAME= Aluminum #Stress_units= mpa #Strain_units= strain #Sy= 294. mpa 0.2pc offset #Su= 334. #eu= 0 #strain at Su not reported #E= 69800. #FractureStrain= 0.70 #FractureStress= 0. not reported #monotonic_K= 0 not reported #monotonic_n= 0 not reported #BHN= 0. not reported #%RA= 50 % #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 #1.09461 1 364.6 0. 1.08939 69800. #Fitted_point Not used .70 1 364. 0. .695 69800. #Fitted_point Strain from monotonic 0.01096 500 288.3 0. 0.00683 69800. #Fitted_point 0.00787 1000 280.8 0. 0.00384 69800. #Fitted_point 0.00602 2000 273.1 0. 0.00211 69800. #Fitted_point 0.00461 5000 262.0 0. 0.00086 69800. #Fitted_point 0.00397 10000 251.8 0. 0.00037 69800. #Fitted_point 0.00353 20000 238.5 0. 0.00011 69800. #Fitted_point 0.00312 50000 216.6 0. 0.00001 69800. #Fitted_point 0.00288 100000 200.6 0. 0.00000 69800. #Fitted_point 0.00268 200000 186.7 0. 0.00000 69800. #Fitted_point 0.00245 500000 170.9 0. 0.00000 69800. #Fitted_point 0.00229 1000000 160.2 0. 0.00000 69800. #Fitted_point 0.00215 2000000 150.4 0. 0.00000 69800. #Fitted_point #No test data beyond 2Nf=2M. Thus below is extrapolation 0.00198 5000000 138.5 0. 0.00000 69800. #Fitted_point 0.00187 10000000 130.3 0. 0.00000 69800. #Fitted_point 0.00176 20000000 122.5 0. 0.00000 69800. #Fitted_point 0.00162 50000000 113.0 0. 0.00000 69800. #Fitted_point 0.00152 100000000 106.3 0. 0.00000 69800. #Fitted_point # #