Creep-fatigue life prediction in terms of nucleation and growth of fatigue crack and creep cavities
- PDF / 1,332,250 Bytes
- 7 Pages / 613 x 788.28 pts Page_size
- 37 Downloads / 329 Views
		    1.5
 
 5
 
 ........
 
 O
 
 (b)
 
 (a)
 
 9 ........
 
 ~
 
 Cu - R
 
 4
 
 R
 
 I ........
 
 Cu-5%Zn - R
 
 4
 
 3
 
 1
 
 1
 
 .......
 
 3
 
 R
 
 . . . . . . . I 'T . . . . .
 
 4
 
 1
 
 J
 
 3
 
 R
 
 'R
 
 R I
 
 .5
 
 .5
 
 A
 
 1
 
 0 ........ 3
 
 ' .......
 
 0 45 (a)
 
 0
 
 ........
 
 1
 
 0 90
 
 I ........
 
 .......
 
 3
 
 ........
 
 Cu P
 
 0 45
 
 0
 
 90
 
 J
 
 ' ' ( e')' ' '
 
 'lJ
 
 ' ' ''
 
 I I I,,11
 
 lllll
 
 (d)
 
 .
 
 iiii
 
 1
 
 3
 
 ........
 
 0
 
 R
 
 3
 
 r,,, ....
 
 e 45 ( d ) ........
 
 2
 
 R i
 
 0
 
 e 45 (e)
 
 I ........
 
 3
 
 .......
 
 90
 
 0 45
 
 90
 
 1.5
 
 I
 
 90
 
 .......
 
 2
 
 ........
 
 0
 
 ~
 
 ~ .......
 
 0 45 (g)
 
 ~
 
 90
 
 i
 
 '
 
 '
 
 .5
 
 I I
 
 i I
 
 i f
 
 ]
 
 I I
 
 I I
 
 I I
 
 I t
 
 0 0 45 90 Fig. 13--Comparison of CMTP predictions (/72 yield function) and experimental data (e) for various metals displaying the texture components indicated. (--4--) Taylorassumption;( t3 ) KochendSrfermodel. (a) Copper with a strong {100}(001) texture/3 (b) Iron single crystal sheet: {100}(011) orientation.19 (c) Cold rolled and annealed low C steel: {100}(012) orientation.35 (d) Iron single crystal sheet: {l12}(1T0) orientation.'9 (e) Cold rolled and annealedlow C steel: {411}(14g) orientation.35
 
 with experimentally determined R(O) curves. These are displayed in Figure 16, where the work of Ito et al. 27 is displayed, and in Figure 17, where the results of Parni~re 19are shown. It is evident from Figure 16(c) that the sharp R-value variation is accurately predicted. However, in the case of the other steels, the CMTP predictions underestimate the amplitudes of the R(O) curves, although the positions of the R extrema are well reproduced. The relative inability of the present yield functions to reproduce the full extent of the R-variations can be readily explained by their smooth nature I 1 4 - - VOLUME 19A, JANUARY 1988
 
 i
 
 I
 
 . . . . . . .
 
 i
 
 i
 
 90
 
 ~ .......
 
 Cu-20%Zn - F 2
 
 R
 
 0
 
 3
 
 i
 
 e 45 ( f )
 
 R
 
 0
 
 ........
 
 0
 
 ' ........
 
 0 45 (h) 9o
 
 0
 
 ' .......
 
 0
 
 ' ........
 
 04s
 
 (i)
 
 Fig. 1 4 - - R ( 0 ) curves for the f o l l o w i n g rolled sheets: (a) C u - R , (b) 5 pet Z n - R , (c) C u - 2 0 pet Z n - R , (d) Cu-P, (e) Cu-5 pet Zn-P, ( f ) 20 pet Zn-P, (g) Cu-F, (h) Cu-5 pet Zn-F, and (i) C u - 2 0 pet Z n - E E x p e r i m e n t a l R - v a l u e s taken f r o m Ref. 18. ( o o ) Fj (n = m = 1.5) a n d ( tJ [] ) F2 criteria used with the K o c h e n d 6 r f e r model. texture d a t a used are those reported in Ref. 18.
 
 I I
 
 90
 
 , ........
 
 I
 
 . . . . . . .
 
 0
 
 Cu-5%Zn - F
 
 R
 
 0
 
 0
 
 90
 
 2
 
 45
 
 .......
 
 ,
 
 (c)
 
 Cu-20%Zn - P
 
 I
 
 Ca 9F
 
 .5
 
 0
 
 O 45
 
 3
 
 R ~
 
 0
 
 1
 
 0
 
 ~ .......
 
 0
 
 90
 
 0 45
 
 ' I '' 1
 
 R
 
 0 ................ 90
 
 i,,,rq
 
 R
 
 1.5
 
 ' ........ 45 ( b )
 
 Cu-5%Zn - P
 
 9
 
 ,
 
 0
 
 0
 
 90 CuCu(e) 2.6, The
 
 (see Figures 7 through 10), which leads to reduced fluctuations in strain rate through the normality rule. By contrast, in crystallographic calculations,12 the R-value variations are frequently too pronounced. The results published by Stephens, 2~ Kallend and Davies, 28'29and Svensson 3~ on yield stress measurements pertaining to cold rolled and annealed sheet are shown in Figures 18 through 20, respectively. The CMTP calculatio		
Data Loading...
 
	 
	 
	 
	 
	 
	 
	 
	 
	 
	 
	