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DECONVOLUTION ANALYSIS TO DETERMINE
RELAXATION TIME SPECTRA OF INTERNAL
FRICTION PEAKS
J. Cost
To cite this version:
JOURNAL
DEPHYSIQUE
Colloque C10, suppl6ment au n012, Tome 46, dgcembre 1985
page
C10-31DECONVOLUTION ANALYSIS TO DETERMINE RELAXATION TIME SPECTRA OF
INTERNAL FRICTION PEAKS
J.R. COST
Los Alamos National Laboratory, Los Alamos, N.M. 87545,
U.S.A.
RCsumh- O n d t c r i t u n e n o u v e l l e m t t h o d e d'analyse d e s pics d e f r o t t e m e n t i n t i r i e u r e n f o n c t i o n d e l a t e m p e r a t u r e . Elle p e r m e t d ' o b t e n i r u n e a p p r o x i m a t i o n d u s p e c t r e d e s t e m p s d e r e l a x a t i o n responsables d u pic. O n m o n t r e q u e c e t t e m i t h o d e , a p p e l i e analyse d i r e c t e d u s p e c t r e (DSA), s'applique I d i f f i r e n t s t y p e s d e spectres: (i) e l l e f o u r n i t d e s a p p r o x i m a t i o n s d e c e r t a i n e s f o r m e s d e s p e c t r e q u i r e p r o d u i s e n t l a p o s i t i o n , l ' a m p l i t u d e , l a l a r g e u r e t l a f o r m e a v e c u n e b o n n e p r i c i s i o n , q u i est d e l'ordre d e 10% (ii) elle n e c o n d u i t p a s I d e s a p p r o x i m a t i o n s a l i a t o i r e s d e l a f o r m e s p e c t r a l e d e s pics.
Abstract
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A new m e t h o d f o r a n a l y s i s o f a n i n t e r n a l f r i c t i o n v s t e m p e r a t u r e peak t o o b t a i n a n a p p r o x i m a t i o n o f t h e s p e c t r u m o f r e l a x a t i o n t i m e s r e s p o n s i b l e f o r t h e peak i s described. T h i s m e t h o d , referred t o a s d i r e c t s p e c t r u m a n a l y s i s (DSA), i s s h o w n t o p r o v i d e a n a c c u r a t e e s t i m a t e o f t h e d i s t r i b u t i o n o f r e l a x a t i o n t i m e s . T h e m e t h o d i s v a l i d a t e d f o r v a r i o u s s p e c t r a , a n d i t i s s h o w n t h a t : (i) I t p r o v i d e s a p p r o x i m a t i o n s t o k n o w n i n p u t s p e c t r a which r e p l i c a t e t h e p o s i t i o n , a m p l i t u d e , w i d t h a n d s h a p e w i t h good a c c u r a c y (typically 10%). (ii) I t d o e s n o t yield a p p r o x i m a t i o n s which h a v e false s p e c t r a l peaks.I
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IntroductionT h e p r o b l e m o f a n a l y z i n g i n t e r n a l f r i c t i o n v s t e m p e r a t u r e p e a k s t o d e t e r m i n e t h e d i s t r i b u t i o n o f r e l a x a t i o n t i m e s r e s p o n s i b l e f o r t h e peak h a s been a d i f f i c u l t o n e f o r m a n y years. T h e t r a d i t i o n a l m e t h o d of a n a l y s i s h a s b e e n t o a s s u m e v a r i o u s f o r m s for t h e r e l a x a t i o n t i m e s p e c t r u m a n d t h e n c h o o s e t h e best f o r m b a s e d u p o n goodness-of-fit t o t h e d a t a . T h e p r o b l e m w i t h t h i s m e t h o d i s t h a t n o n e of t h e t r i a l f o r m s f o r t h e s p e c t r u m m a y be close t o t h e t r u e d i s t r i b u t i o n . I t would be p r e f e r r a b l e t o directly a n a l y z e t h e d a t a t o o b t a i n a n a p p r o x i m a t i o n of t h e s p e c t r u m , t h u s a v o i d i n g unnecessary a s s u m p t i o n s . Such a m e t h o d , referred t o a s d i r e c t s p e c t r u m a n a l y s i s (DSA), h a s been d e v e l o p e d a n d v a l i d a t e d f o r a p p r o x i m a t i n g r e l a x a t i o n t i m e s p e c t r a f o r processes w i t h f i r s t - o r d e r k i n e t i c s / l / . W i t h t h i s m e t h o d , n o n l i n e a r regression least-squares i s used t o u n f o l d t h e integral e q u a t i o n f o r e x p o n e n - tial decay w i t h a d i s t r i b u t i o n o f r e l a x a t i o n t i m e s a s t h e t i m e c o n s t a n t s w i t h i n t h e integral. I n a l a t e r p a p e r 121, t h e s a m e m e t h o d was a p p l i e d t o t h e D e b y e f u n c t i o n a s t h e kernel. T h i s allowed a n a l y s i s o f i n t e r n a l f r i c t i o n ( o r d i e l e c t r i c r e l a x a t i o n ) p e a k s when m e a s u r e d a s a f u n c t i o n o f frequency. I n t h e p r e s e n t p a p e r t h e s e m e t h o d s a r e e x t e n d e d t o t h e m e a s u r e m e n t o f i n t e r n a l f r i c t i o n v s t e m p e r a t u r e peaks. I1
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Method T h i s m e t h o d h a s s o m e m i n i m a l r e q u i r e m e n t s of t h e d a t a . F i r s t , i t i s necessary t h a t t h e i n t e r n a l f r i c t i o n v s t e m p e r a t u r e d a t a h a v e had b a c k g r o u n d s u b t r a c t e d . I t i s i m p o r t a n t t h a t t h i s s u b t r a c t i o n be d o n e with t h e highest possible accuracy because t h e DSA m e t h o d t e n d s t o f i n d c o n t r i b u t i o n s t o t h e relaxation t i m e s p e c t r u m f o r a n y i n t e r n a l f r i c t i o n which m a y be p r e s e n t o v e r a n d a b o v e t h a t for a given peak. S e c o n d , i t i s necessary t h a t t h e r e b e roughly 2 0 o r m o r e d a t a points; a s h a s previously been s h o w n /1,2/, t h e r e s o l u t i o n c a p a b i l i t i e s o f t h e m e t h o d increase w i t h b o t h n u m b e r a n d accuracy of t h e d a t a points.T o discuss t h e m e t h o d we will u s e t h e n o t a t i o n a n d d e v e l o p m e n t o f Nowick a n d Berry / 3 / . We c o n s i d e r d y n a m i c e x p e r i m e n t s i n which s t r e s s i s a p p l i e d periodically a t frequency o s o t h a t for a n a n e l a s t i c s o l i d t h e r e will be a p h a s e lag o f t h e s t r a i n b e h i n d t h e stress. T h e a n g l e o f t h i s phase lag i s cp,
t h e loss angle, a n d t h e c o m p l i a n c e i s d e s c r i b e d by t w o d y n a m i c r e s p o n s e f u n c t i o n s , a real p a r t , J , ,
(210-32
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and an imaginary part, J2. The internal friction i s given by tan ( P = J ~ / J I
.
For a standard anelastic solid /3/ responding t o periodic stress, these two dynamic response functions are given bywhere GJ=J,-J., A=6J/J, is the strength of t h e anelastic relaxation and J, and J. are the relaxed a n d the unrelaxed compliances, respectively.
Because the internal friction is measured as a function of temperature, certain corrections for temperature-dependent parameters are required. Nowick and Berry again provide an excellent discussion of these temperature corrections 131. First, since we want our approximation o f the relaxation time spectrum a t some constant temperature, Tdi*,, we must correct w a n d A t o this temperature. For implementation of these two corrections, the reader is referred t o Weller, et a1 /4/.
Correction of A t o T d i r t involves a Curie-Weiss temperature dependence. Thus, i t is required t h a t a value be chosen for the critical temperature, T,. Since the value may not be known, i t is important t o d o the analysis using upper and lower limiting estimates of this parameter.
Analysis involves making two approximations both of which are valid for the usual experimental condition t h a t tan cp<<l. First, we consider J l
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J. so t h a t tan cp*J2/J.. Second, we consider t h a t the Twhich i s measured (the relaxation time a t constant stress) is equal t o the average T (the one i n the above equations) /3/. We now proceed to obtain our approximation of N ( l n ~ ) , the spectrum of relaxation times a t Tdlrt. We first speci'fy the upper and lower T limits for the spectrum. For the first attempt a wide range i s chosen; with later tries this is adjusted keeping the range sufficient to show the tail regions of the spectrum. We next d i v i d e the range of 1og10.r in t o n bins of equal width a n d designate the relaxation time of the ith bin as T , , th e midpoint value (10g~o.r scale) of the bin. The number of bins chosen depends upon the resolution desired. I t i s typically 10<n<100, h u t with the constraint n<=m, where m is the number of data points.
The crux of the DSA method is to make a sum approximation for the integral (see Ref. 2) which contains the function N(ln T). This gives
where A, is the relaxation strength i n the ith bin. Eq. (3) i s t h e same as given by Nowick and Berry 131 for multiple relaxations with discrete relaxation times. Thus, using t h i s equation is the same a s considering the relaxation t o be made up of n different discrete relaxations all of which are equally spaced in log T.
The .ri in Eq. 3 will exhibit a temperature dependence according to the Arrhenius relation, T=ro exp(Q/kT), where 70 i s the pre-exponential factor, Q i s the activation energy a n d k i s Boltzmann's constant. For a given measurement of the internal friction a t some temperature other t h a n Tdlot, the .ri need t o be corrected t o their values a t Tdist. This i s done using either of two models for the distribution of relaxation times as discussed by Nowick a n d Berry 131. The first model considers t h a t the distribution is only due to a distribution of activation energies and that T O i s constant. The second model is just the opposite of the first, i.e., there i s only distribution of To's and Q i s a constant. We will use the first of these models in the discussion which follows, although the second has been used a n d found t o provide good spectral estimates.
After choosing n and the 7 limits for the spectrum, we continue as follows: (i) Choose Tdirt; typically this will be the temperature of the peak. (ii) I n p u t the experimental value for w. (iii) Provide a n estimate of T o . (iv) Estimate the total relaxation strength, A. Typically, this i s estimated a s twice the peak height, Q;:,
.
T o start the iteration process we set the Ai, the relaxation strength i n the ith bin, all t o the same value, Ai=A/n. The nonlinear regression least-squares method is now ready t o be used. I t will iterate adjusting the Ai t o minimize the least-square differences between the calculated and the experimental points. We terminate the calculation by either choosing a desired number of iterations or by a statistical evaluation of convergence.111.
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VALIDATIONc o m b i n a t i o n of several l o g n o r m a l ( G a u s s i a n in log,,r) d i s t r i b u t i o n s .
Fig. 1 shows a n e x a m p l e o f s u c h a c o m p u t e r - g e n e r a t e d i n t e r n a l f r i c t i o n peak p l o t t e d v s reciprocal t e m p e r a t u r e . T h e i n t e r n a l f r i c t i o n i s n o r m a l i z e d a s t a n q / A . T h e d a t a a t t h e v a r i o u s t e m p e r a t u r e s h a v e been c a l c u l a t e d f r o m t h e A r r h e n i u s r e l a t i o n with a n a c t i v a t i o n energy, Q=1.4 eV a n d pre- e x p o n e n t i a l , ~ ~ = 1 0 - ' ~ S. T h e 5 0 d a t a p o i n t s h a v e been g e n e r a t e d for w=1.0 s f r o m a single l o g n o r m a l
d i s t r i b u t i o n c e n t e r e d a t r,=1.0 s a n d w i t h w i d t h P=1.0. R a n d o m f r a c t i o n a l e r r o r w i t h s t a n d a r d d e v i a t i o n o=0.01 h a s been a d d e d t o t h e d a t a .
Fig. 2 shows t h e histogram f o r t h e s t a r t o f t h e n o n l i n e a r regression a n a l y s i s o f t h e d a t a i n Fig. 1. Each of t h e 40 b i n s h a s e q u a l s p e c t r a l a m p l i t u d e such t h a t t h e a r e a o f t h e h i s t o g r a m i s u n i t y ( o n a In r scale). T h e s p e c t r a l l i m i t s f o r t h e c a l c u l a t i o n h a v e been c h o s e n t o c o v e r t h r e e d e c a d e s with t h e c e n t e r a t roughly r = I / o . Fig. 3 shows o n t h e s a m e a x e s t h e h i s t o g r a m a p p r o x i m a t i o n of t h e i n p u t s p e c t r u m for Tdlst=500 K a f t e r 500 i t e r a t i o n s using DSA a n d a s s u m i n g t o be 10-l4 S. At t h e t o p of t h e figure
the scale i s f o r t h e e q u i v a l e n t a c t i v a t i o n energy. I t m a y be n o t e d t h a t t h e histogram a p p r o x i m a t i o n agrees well w i t h t h e original i n p u t d i s t r i b u t i o n which i s s h o w n a s a solid c u r v e i n t h e figure. A lognormal f i t t o t h e histogram gives r,=1.02 s a n d P=1.03 i n good agreement with t h e s e p a r a m e t e r s for t h e i n p u t s p e c t r u m .
V a l i d a t i o n was a l s o d o n e f o r i n p u t s p e c t r a w i t h a single l o g n o r m a l d i s t r i b u t i o n , b u t for values of P ranging f r o m 0.25 t o 3.0 a n d r a n d o m f r a c t i o n a l e r r o r w i t h o=0.01. As with t h e result i n Fig. 3, t h e DSA m e t h o d was f o u n d t o p r o v i d e a good a p p r o x i m a t i o n o f t h e i n p u t s p e c t r a o v e r t h i s range o f
p.
T h e capability o f t h e m e t h o d t o give good s p e c t r a l a p p r o x i m a t i o n s for s y m m e t r i c a l d i s t r i b u t i o n s with w i d t h s ranging f r o m t h a t o f a nearly d i s c r e t e r e l a x a t i o n (P=0.25) t o d i s t r i b u t i o n s c o v e r i n g u p t o f i v e decades i n r i s encouraging.T o e x a m i n e t h e recovery o f a s y m m e t r i c a l spectra, d a t a were g e n e r a t e d from m u l t i p l e , b u t o v e r l a p - ping, l o g n o r m a l s p e c t r a o f varying w i d t h s . T h e s e s p e c t r a g a v e o v e r l a p p i n g i n t e r n a l f r i c t i o n p e a k s which would be expected t o be v e r y difficult t o d e c o n v o l u t e . An e x a m p l e o f s u c h a c o m p l e x peak i s shown in Fig. 4 a s a b r o a d i n t e r n a l f r i c t i o n peak m a d e u p a s t h e s u m o f f o u r s e p a r a t e peaks s h o w n a s d a s h e d curves. Again, 5 0 d a t a p o i n t s h a v e been used f o r o=1.0. F r a c t i o n a l e r r o r with s t a n d a r d d e v i a t i o n a=0.01 h a s b e e n a d d e d t o s i m u l a t e e x p e r i m e n t . T h e f o u r s e p a r a t e peaks a r e e a c h g e n e r a t e d f r o m a l o g n o r m a l d i s t r i b u t i o n . T h e s e v a r y i n f r a c t i o n a l s t r e n g t h a n d width a n d a r e c e n t e r e d roughly a factor of f o u r a p a r t a s s h o w n i n Fig. 5. ' 0 5 ,
,
l : STARTING HISTOGRAY-
G- - ; n~108111S ; r,.003t - 3 - ; t 2 0 5 -~
3
A - : a AREA. 112 303 10" 100 10' R E L A X A T I O N T I M E . r ( s )g
O P - 4 a W \ LL B LL Z 0 . 3 $ F -,... 1 . 0 ~ ~ : I 3,
1.4 1.5 l 6 Fig. 1 - I n t e r n a l f r i c t i o n v s t e m p e r a t u r e d a t agenerated f r o m a l o g n o r m a l d i s t r i b u t i o n t o check
;
lWUT SPECIRIM.N<," 71 W P " T n l S T O G R A M . ~ - . lj SINGLE LOGNORMAL
1
4081NSt h e capability o f t h e DSA m e t h o d t o recover t h e
,
-i : B.IO r.:0031 INTERNAL FRICTION PEAK INPUT LOGNORMAL .C10-34
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The results o f the calculation using t h e DSA method o n t h e d a t a i n Fig. 4 a r e also shown in Fig. 5. Here they may be compared with t h e i n p u t spectrum (solid curve) which defines t h e internal friction peak. T h e historgram a p p r o x i m a t i o n of t h e i n p u t spectrum is d o n e a t Td,,,=500 K f o r 40 bins of T. The only assumption used for t h e calculation was t h a t .ro=10-14 S. I t may be seen t h a t t h e DSA approximation shows very satisfactory agreement with t h e spectrum which was used t o generate t h e data. I t i s particularly satisfying t h a t the analysis i s able t o reproduce t h e four peaks which make up t h e i n p u t spectrum. Similar validations using i n p u t spectra of two a n d three peaks also showed t h i s good resolving power. Many different k i n d s of spectra have been validated using t h e m e t h o d described here. I m p o r t a n t l y , these v a l i d a t i o n s never gave false approximations t o t h e i n p u t spec- t r u m , i.e., i n n o case d i d t h e results of t h e DSA show extra peaks o r miss peaks which were o f reasonable magnitude ( - 10% of t h e t o t a l spectrum).
The validation described i n Fig. 5 d e m o n s t r a t e s t h a t t h e amplitude, shape, width a n d location o f t h e peaks a r e all reconstructed with acceptable accuracy. Only a m i n o r difficulty i s evident; t h i s i s f o r the location of t h e t h i r d peak. The histogram shows t h i s peak t o be a t a relaxation t i m e which i s roughly 40% too high. T h i s tendency was observed i n o t h e r analyses, particularly when t h e i n p u t peaks were close together. Typically, the m e t h o d resolves i n p u t peaks which a r e a factor of two o r more apart, b u t the peaks t e n d t o be displaced away from each o t h e r a s shown i n Fig. 5 .
Fig. 4 - I n t e r n a l friction d a t a generated from 4- Fig. 5 - I n p u t relaxation t i m e spectrum a n d out- peak i n p u t spectrum. put histogram a p p r o x i m a t i o n after DSA of t h e d a t a in Fig. 4. T h e a's a r e the fractional contribu- tion of each lognormal spectrum.
V
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CONCLUSIONS(a)
A new method i s described for analysis of an i n t e r n a l friction vs temperature peak t o o b t a i n a n approximation o f t h e spectrum of relaxation t i m e s responsible f o r t h e peak.(b) I t i s shown t h a t t h i s m e t h o d provides a p p r o x i m a t i o n s to known i n p u t spectra which replicate t h e position, amplitude, width a n d shape with good accuracy (typically
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10%).(c) Validation of t h i s method f o r a wide variety of spectra shows t h a t i t does n o t yield approxima- tions which have false spectral peaks.
REFERENCES
/ l / Cost, J. R., J. Appl. Phys., 5 4 ( 1 9 8 3 ) 2137.
/2/ Cost, J. R., Nontraditional Methods in Diffusion, ed. b y Murch, G., TMS-AIME, New York (1984).
/3/ Nowick, A. S. a n d Berry, B. S., Anelastic Relaxations in CrystallineSolids, Academic Press, New York (1972).
/4/ Weller, M., Zhang, J. X., Li, G. Y., Ke, T. S. a n d Diehl, J., Acta Met., 29 (1981) 1055.