Daniel Bouëxière,
Karin Popa,
Olaf Walter* and
Marco Cologna
European Commission, DG Joint Research Centre, JRC-Karlsruhe, P. O. Box 2340, 76125 Karlsruhe, Germany. E-mail: olaf.walter@ec.europa.eu
First published on 25th February 2019
Kinetic measurements on the grain growth of PuO2 nano-crystals are presented. On the basis of isothermal XRD measurements at temperatures of 820 °C, 900 °C, 1000 °C, and 1100 °C the activation energy for the crystallite growth of PuO2 nanopowder is determined as 351(5) kJ mol−1 in the temperature range from 820 to 1000 °C. Modelling shows that in this T range growth happens likely through surface diffusion.
The Rietveld analysis of the PuO2 obtained by the hydrothermal decomposition of Pu-oxalate hexahydrate confirms the nanometric nature of the PuO2 (cubic fluorite structure, cubic Fmm (225) space group) with a particle size of 3.7 ± 1.0 nm and a lattice parameter of 5.4042(2) Å (Fig. S1†). The nanocrystals form almost spherical agglomerates with a typical size of 100–200 nm.
A Philips XL40 Scanning Electron Microscope (SEM) equipped with Energy Dispersive X-ray Spectroscopy (EDS) was used. The sample grains were deposited on a carbon sticker and covered with carbon to avoid charging.
Two sets of experiments were conducted. First, in order to define the temperature range for the isothermal experiments, a diffractogram with a large 2θ window (20° < 2θ < 120°) was taken in the 500–900 °C range (Fig. 1). Each measurement took 3 hours. On the base of this study, the temperature range for the isothermal annealing was set in the 820–1200 °C interval, in the range 45° < 2θ < 60°, where three diffraction peaks of PuO2 are present. This window was chosen to perform the time dependent measurements on the changes of the line broadening within a reasonable amount of time (36 min). The powder was heated in the HT-XRD device with a rate of 10 °C min−1 to 820 °C, held for 30 h, and successively heated further to 900 °C, 1000 °C, 1100 °C and 1200 °C, following the same measurement procedure.
Fig. 1 Variation of the XRD patterns of PuO2 as a function of temperature; peaks marked by * arise from the sample holder. |
Before performing the high-temperature XRD measurements with a reduced 2θ range, a full diffractogram was taken in the range 20° < 2θ < 120° at room temperature on the Pt sample holder of the HT X-ray diffractometer. A Rietveld refinement (Highscore plus) was performed, leading to Rprofile of 6.5% and Rweighted of 9.0% based on two phases (the Pt sample holder and PuO2, more details see ESI, Fig. S2†). A diffractogram under identical conditions was registered at the end of the series of the measurement showing clearly the changes in the particle size (Fig. S3, ESI†).
However, the crystallite size (D) during the high temperature isotherms were calculated as the average from the three peaks appearing in the range 45° < 2θ < 60° after profile fitting by measuring independently the line broadening at half the maximum intensity (FWHM) for each Bragg angle and the applying the Scherrer equation (Eq. (1)):
(1) |
Eqn (1) assumes that the broadening of the diffraction peaks is contributed by grain size only. In reality, other factors could affect the breadth of a diffraction peak as well, e.g. the internal strain of the grains could cause peak broadening. These effects are neglected in our approximation here.
Dn = D0n + kt | (2) |
(3) |
We calculated the crystallite size on the basis of the three observed peaks in the window 45° < 2θ < 60° (Table 1, Fig. 2). Since there is some growth during the acquisition period (36 min), the reported values are an average of the size during the acquisition interval.
Time (min) | Crystallite size (nm) | |||
---|---|---|---|---|
820 °C | 900 °C | 1000 °C | 1100 °C | |
36 | 9.4 | 19.5 | 34.5 | 83.6 |
72 | 10.1 | 21.2 | 38.4 | 90.2 |
108 | 11.2 | 22.3 | 40.2 | 97.7 |
144 | 11.5 | 23.3 | 43.3 | 107.3 |
180 | 12.0 | 45.6 | 113.0 | |
216 | 11.8 | 24.1 | 46.3 | 119.7 |
252 | 12.3 | 24.4 | 48.3 | 127.2 |
288 | 13.1 | 24.8 | 48.9 | 131.4 |
324 | 12.8 | 25.2 | 49.8 | 137.2 |
360 | 25.7 | 50.7 | 142.5 |
A modified Williamson–Hall method was applied to quantify the dislocation density in order to measure the grain growth kinetics for nanocrystalline UO2 in both in situ and ex situ experiments.18,19 However, due to experimental limitations in our case the internal strain influence is neglected in our model.
Comparison of the TEM analysis of the original small nano-particles to its SEM picture of the same material after thermal treatment at 1200 °C for 30 h clearly shows the particles having grown significantly in size from 3.7 ± 1 nm into the micrometer scale (Fig. 3).
Fig. 3 TEM of the original nanopowder (left) and SEM of powder annealed at 1200 °C for 30 h (right). |
It is seen that at constant temperature T the crystallite size increases (Table 1, Fig. 4). The data were fitted with eqn (1) to obtain the grain growth rate constant k as a function of temperature, and the growth exponent n. Given the very fast grain growth rate of nanocrystalline powders, and the time needed for acquisition of a full XRD spectrum (36 minutes), the initial crystallite size at time zero could not be measured. D0 was thus defined as the first available data point, i.e. at 36 min after the beginning of the isotherm. The choice of the exponent n is of critical importance, as it affects greatly the kinetic constant and the activation energy.20 In order to determine the exponent n, eqn (2) can be rewritten as:
Dn − D0n = kt | (4) |
Fig. 4 Crystallite size as a function of time at different isothermal temperatures for the first 6 h. The full time interval is given in Fig. S5.† |
By plotting the left side of the equation (eqn (3)) versus the time a linear trend is to be expected. The exponent n was chosen as the one giving the best linear fit, by limiting n in the range n = 2 to 4. The data between 820 °C and 1000 °C are best fitted with an exponent n = 4 or higher, while the data at 1100 °C give an exponent n of 2 (ESI, Fig. S4†). The role of the exponent n and its relevance is discussed later here in more detail.
Only data within the first 6 hours were found to fit eqn (4) well, whereas, during longer-term annealing, crystallite growth proceeds with a slower kinetic. A similar behaviour was however observed by Miao et al.18 for the growth of nanograined UO2 at 820 °C and 730 °C, and was explained with the grain-growth stagnation mechanism by proposed by Holm.21 According to this model, a small fraction of slowly moving grain boundaries can effectively pin the faster moving boundaries, and an increase in the temperature is needed for the transition of grain boundaries from low-mobility to the high mobility fraction.
The slope of the linear regression gives the grain growth constant k, reported in Table 2, together with the results of the linear fitting.
Temperature | D0 [nm] | n | k [nmn h−1] | R2 |
---|---|---|---|---|
a Standard deviation in parentheses. | ||||
820 °C | 9.4 | 4 | 4500(250) | 0.976 |
900 °C | 19.5 | 4 | 57500(2500) | 0.983 |
1000 °C | 34.5 | 4 | 1028000(25000) | 0.994 |
1100 °C | 83.6 | 2 | 2460(20) | 0.999 |
Since the data at temperatures of 820 °C, 900 °C, and 1000 °C have the same growth exponent n, the activation energy can be deduced by plotting the logarithm of k as a function of the inverse absolute temperature (Fig. 5). The activation energy for the crystallite growth of nanocrystalline PuO2 powder in this temperature range was calculated as 351(5) kJ mol−1. This value compares well with the activation energy of 387 kJ mol−1 for the grain growth of UO2 and PuO2–UO2 MOX, used in the TRANSURANUS fuel performance code,23 which also assumes a growth model with an exponent n of 4. Data for the activation energy for grain growth in PuO2 in powder or bulk were not reported previously.
On the other side the present experiments do not confirm the low activation energy reported in few cases in the literature for the growth of nanocrystalline powder. It has been reported that grain growth in nanocrystalline powders occurs with a reduced activation energy compared to grain growth at a larger scale. For example the activation energy for grain growth in yttria stabilized zirconia nanocrystalline powders was reported to be as low as 13 kJ mol−1 (to be compared to 580 kJ mol−1 reported for larger grain zirconia).24 In the current case the activation energy for grain growth in PuO2 nanocrystal does not appear to be in order of magnitude lower than what could be expected for larger sizes (whereas as discussed data of grain growth in conventional size are lacking). It is important to note that in24 the crystallite data were assumed to have a linear dependency from time (n = 1), which can lead to a significant underestimation of the activation energy. A discussion on the importance of the selection of the exponent n on the activation energy is given for example in.20
The data allow also for some speculation on the nature of the activation energy derived in the present analysis. According to the Brook model,22 in a pure system, an exponent of n = 2 describes the growth of grain in a dense system. On the other hand, an exponent of n higher than 2 in a pure systems represents the growth of grains in the presence of porosity, where the grains are pinned by the pores and thus the mobility of the pores is the rate controlling mechanism (pore controlled kinetics). According to this model, an exponent n with a value of 4 is observed in systems where pore mobility is controlled by surface diffusion. If this interpretation is accepted, then the calculated activation energy should represent the activation energy for pore mobility governed by surface diffusion. In ionic solids the charge balance requires diffusion of both cations and anions and the rate is limited by the slowest moving specie, being Pu for PuO2. The activation energy for growth of PuO2 nanocrystals should thus represent also the activation energy for surface diffusion of Pu in PuO2. For comparison, a reliable value for the surface diffusion of Pu in PuO2 could not be found in the literature.
Limited data exist for the activation energy of U diffusion in UO2. For example Matzke recommended a value of 453 kJ mol−1.25 This value seems to be high, as the activation energy for surface diffusion is typically lower than the one for grain boundary and volume diffusion. More recent molecular dynamic simulations give a value of the diffusion of U cations on the surface of UO2 nanocrystals of 299 to 347 kJ mol−1.26 A study of UO2 and PuO2 interdiffusion gives a value of 222 kJ mol−1, assumed to largely due to surface diffusion.27
The method we have applied here has some intrinsic limitations that may affect the accuracy of the data. The main limitations are of experimental nature, e.g. the need to a fast acquisition time in a short angle range, which limits the applicability of accurate profile analysis, and the choice of the model parameters, above all the time exponent n. It is difficult to assign a precise significance to the exponent n,20,22 for various reasons: (i) the exponent n might not be an integer as several mechanisms might be concurring, (ii) several values of n could fit with the data with good correlation coefficients, (iii) the data could be fitted also with exponents higher than 4, (iv) the model has been developed for particles separated by nearly spherical isolated pores at the grain boundary, which can differ significantly from the real case.
According to the data on the grain growth of PuO2 nanocrystals presented here, particle growth proceeds by a pore controlled kinetics mechanism via surface diffusion as long as the particles are small or at low temperature (<50 nm, with a growth exponent n = 4). At T = 1100 °C (when small particles have already agglomerated) the growth mechanism changes to the mechanism of dense material (with n = 2). However, the change of the exponent at 1100 °C might as well be addressed to the fact that at this temperature the grain size starts to become comparable to the size of the agglomerates, so that further growth is hindered.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/c8ra10430a |
This journal is © The Royal Society of Chemistry 2019 |