SCK•CEN/27548174 ER-0412
Corrosion of metals in category B&C waste
A review of literature data
Frank Druyts and Sébastien Caes
Publication date: May 2019
Contract name: ONDRAF/NIRAS, Contrat de R&D "gestion à long terme des déchets radioactifs" (2015-2020)
Contract number: SCK•CEN: CO-90-14-3690-00; ONDRAF: CCHO 2015-0304/00/00; Specification sheet 15-SCK-EBC-12
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Table of Content
Glossary of Abbreviations...... 6 Abstract ...... 10 Keywords ...... 10 1 Introduction ...... 14 1.1 Metals present in category B and C waste ...... 14 1.2 Engineered barrier system for category B and C waste ...... 14 1.2.1 Monolith for category B waste...... 14 1.3 Geochemical evolution of the engineered barrier system ...... 15 2 Qualification of techniques for the determination of corrosion rates ...... 16 3 Corrosion of zirconium alloys ...... 20 3.1 Introduction ...... 20 3.2 Corrosion mechanisms of zirconium alloys ...... 20 3.2.1 Corrosion of zirconium alloys in reactor conditions ...... 22 3.2.2 Uniform corrosion ...... 24 3.2.3 Microstructure of the oxide (under uniform corrosion) ...... 24 3.2.4 Effect of ion irradiation on the microstructure of the oxide ...... 25 3.2.5 Hydrogen absorption ...... 25 3.2.6 Corrosion of zirconium alloys in anoxic highly alkaline conditions ...... 26 3.3 Corrosion kinetics of zirconium alloys in geological disposal conditions ...... 28 3.3.1 Influence of pH ...... 29 3.4 Conclusions ...... 30 4 Corrosion of metallic uranium ...... 31 4.1 Introduction ...... 31 4.2 Metallic uranium corrosion ...... 31 4.2.1 Corrosion of metallic uranium in air or oxygen ...... 31 4.2.2 Corrosion of metallic uranium in water vapour ...... 32 4.2.3 Corrosion of metallic uranium in water ...... 34 4.2.4 Mechanism of uranium hydride formation ...... 35 4.2.5 Influence of irradiation and water radiolysis ...... 36 4.2.6 Influence of the counter ions and the pH on the corrosion mechanism ...... 36 4.2.7 Electrochemical uranium corrosion mechanism in water ...... 37 4.2.8 Corrosion of metallic uranium in cement-based materials ...... 39 4.2.9 Summary of the corrosion rates for uranium in alkaline conditions ...... 41 4.3 Conclusions ...... 42 5 Corrosion of beryllium ...... 43 5.1 Introduction ...... 43 5.2 Mechanism of beryllium corrosion ...... 43 5.2.1 Corrosion mechanisms of beryllium: general remarks ...... 44 5.2.2 Corrosion in highly alkaline, anoxic conditions ...... 44 5.3 Kinetics of beryllium corrosion in alkaline solutions ...... 4 5 5.4 Conclusions ...... 47
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6 Corrosion of aluminium ...... 48 6.1 Introduction ...... 48 6.2 Corrosion of metallic aluminium in alkaline conditions ...... 48 6.2.1 Corrosion in water ...... 48 6.2.2 Corrosion of metallic aluminium encapsulated in cement-based materials ...... 52 6.2.3 Summary of the corrosion rates for aluminium in alkaline conditions...... 54 6.3 Conclusions ...... 56 7 Corrosion of stainless steel ...... 57 7.1 Introduction ...... 57 7.2 Mechanism of stainless steel corrosion in geological disposal conditions ...... 58 7.2.1 Alloying additions ...... 59 7.2.2 Properties of the passive film ...... 61 7.2.3 Passivity breakdown ...... 62 7.3 Kinetics of stainless steel corrosion ...... 63 7.4 Conclusions ...... 65 8 Corrosion of Inconel alloys ...... 66 8.1 Introduction ...... 66 8.2 Corrosion of nickel and chromium ...... 66 8.3 Corrosion of Inconel in alkaline conditions ...... 69 8.4 Conclusions ...... 69 9 General conclusions ...... 70 10 References ...... 72
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Preface
Report SCK•CEN-ER-0412 “Corrosion of Metals in B&C waste” presents the deliverable in specification sheet 15-SCK-EBC-12 of the research package (RP) “EBC – Engineered Barriers Characterization (process identification & properties)” that forms part of the ONDRAF/NIRAS research programme on the geological disposal of high-level radioactive waste and spent fuel for the period 2015-2020. The topic covered by this report is mainly focused on the corrosion rate as a function of pH of metals relevant for B&C waste, other than carbon steel, and in particular Zirconium alloys, metallic uranium, aluminium, beryllium, stainless steel, and inconel.
This report summarizes corrosion rate data for the above mentioned metals in alkaline (pH 8- 13.5) and anoxic conditions. The ultimate goal of the report is to describe the dependence of the corrosion rate on pH.
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Glossary of Abbreviations
APIMS Atmospheric pressure ionization mass spectrometer APT Atomic probe tomography BFS Blast furnace slag BR1 Belgian Reactor 1 BR2 Belgian Reactor 2 CAC Calcium aluminate cement EBSD Electron backscattering diffraction
Ecorr Corrosion potential
Ep Pitting potential
Er Repassivation potential ESHG Experimental system for high-accuracy evaluation of gas generation FIB Focused ion beam GC Gas chromatography HR-SEM High resolution scanning electron microscopy IAEA International Atomic Energy Agency INEEL Idaho National Engineering and Environmental Laboratory LILW Low- and intermediate-level waste MOX Mixed uranium and plutonium oxide MS Mass spectrometry OCP Open circuit potential OPC Ordinary Portland cement PFA Pulverized fuel ash QCM Quartz crystal microbalance RH Relative humidity SHE Standard hydrogen electrode SSE Saturated sulfate electrode TEM Transmission electron microscope UOX Uranium oxide XPS X-ray photoelectron spectroscopy
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List of Figures
Figure 1. (a) Monolith for category B waste (200 L drums). (b) Supercontainer for category C waste: 3D representation of a supercontainer containing 2 vitrified waste canisters (left) and a supercontainer containing 4 UOX spent fuel assemblies (right) [NIROND 2017]...... 15 Figure 2. Comparison of corrosion rates of pickled carbon steel versus pre-corroded carbon steel in various environments (Smart et al., 2014)...... 17 Figure 3. Schematic representation of the Japanese setup for online hydrogen gas measurements (Kaneko et al., 2004)...... 19 Figure 4. Potential-pH diagram of zirconium at 25 °C (Pourbaix, 1974)...... 22 Figure 5. Schematic drawing showing the three Zircaloy corrosion regions: pre-transition, transitory, and post-transition. The dashed lines indicate that early models recognized only the pre-transition and post-transition regimes (reproduced from Hillner (Hillner et al., 2000)). .... 22 Figure 6. Weight gain of zirconium alloys as function of time at (a) 300 °C, and (b) 400 °C (Allen et al., 2012)...... 23 Figure 7. Oxide layer thickness as a function of burn-up for Zircaloy-4 and M5 (Allen et al., 2012)...... 24 Figure 8. Formation of (a) Circumferential and (b) radial hydrides (Allen et al., 2012)...... 26 Figure 9. Corrosion rate of zirconium alloys as a function of pH in highly alkaline, anoxic conditions...... 30 Figure 10. Variation of the corrosion rate of uranium with RH in presence of water vapour and oxygen. Curve A, B and C were recorded with different uranium batches. At P, significant amounts of yellow UO3 were observed (Baker et al., 1966b)...... 33 Figure 11. Evolution of the corrosion rate in function of the pH of the solution at 100 °C (Baker et al., 1966a)...... 37 Figure 12. Potential-pH diagram of uranium (Pourbaix, 1974)...... 38 Figure 13. Polarisation curves for metallic uranium in KOH solution at pH 13.7 (Bullock et al., 1974)...... 39 Figure 14. Corrosion rates of metallic uranium in highly alkaline, anoxic conditions, as a function of pH at 25 °C...... 42 Figure 15. Equilibrium potential – pH diagram for the beryllium/water system at 25 °C (Pourbaix, 1974)...... 43 Figure 16. Potentiodynamic polarization curves (scan rate 1 mV/s) for beryllium in solutions of different pH (Gulbrandsen and Johansen, 1994)...... 44
Figure 17. Quasi-steady state passive current density (jp) for beryllium electrodes as a function of pH (Gulbrandsen and Johansen, 1994)...... 45 Figure 18. Plot of corrosion rate as a function of pH for beryllium in alkaline solutions (omitting outliers at pH 12 and pH 15)...... 46 Figure 19. Solubility of aluminium oxides in function of pH (Pourbaix, 1974)...... 49 Figure 20. Potential-pH diagram of aluminum (Pourbaix, 1974)...... 52 Figure 21. Corrosion rate evolution of metallic aluminium in NaOH solutions in function of pH and temperature. In blue, corrosion rate obtained at 25 °C. In red, corrosion rate obtained at 30 °C. In green, corrosion rate obtained at 50 °C. In orange, corrosion rate obtained at 60 °C...... 56 Figure 22. Overview of the composition and property links between the most important stainless steel alloys (Sedriks, 1996)...... 58
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Figure 23. Potential (E in V vs. SHE) – pH equilibrium diagrams for the system iron-water at 25 °C assuming (a) oxides and (b) hydroxides as solid substances (Pourbaix, 1974)...... 60 Figure 24. Potential (E in V vs. SHE) – pH equilibrium diagrams at 25 °C for the systems (a) chromium-water assuming Cr(OH)3 as solid substance, (b) chromium-water assuming Cr2O3 as solid substance, (d) nickel-water, and (e) molybdenum-water (Pourbaix, 1974)...... 60 Figure 25. Oxide layer thickness on a stainless steel as a function of potential for a Fe15Cr alloy in 0.5 M H2SO4, and for Fe10Cr and Fe20Cr alloys in 1 M NaOH, estimated using XPS. The film growth region is considerably wider in the alkaline medium, which also gives thicker films (Olsson and Landolt, 2003a)...... 62
Figure 26. Schematic of a polarization curve of a metal prone to pitting, with EP the pitting potential, ER the repassivation potential, and Ecorr the corrosion potential...... 6 3 Figure 27. Corrosion rate of stainless steel in highly alkaline, anoxic conditions at 50 °C...... 64 Figure 28. Pourbaix (potential-pH) diagram of the nickel-water system at 25°C (adapted from (Chivot, 2004))...... 67 Figure 29. Potential (E in V vs. SHE) – pH equilibrium diagrams at 25 °C for the systems (a) chromium-water assuming Cr(OH)3 as solid substance, (b) chromium-water assuming Cr2O3 as solid substance, (Pourbaix, 1974)...... 68 Figure 30. Theoretical conditions of corrosion, immunity and passivation of chromium, at 25°C (Pourbaix, 1974)...... 68 Figure 31. Isocorrosion diagram for Inconel 200 and 201 in NaOH (Metals, 2000)...... 69
List of Tables
Table 1. Overview of corrosion rates of zirconium alloys obtained in highly alkaline, anoxic conditions ...... 30 Table 2. Overview of corrosion rates of metallic uranium obtained in highly alkaline, anoxic conditions ...... 41 Table 3. Approximate corrosion rates for beryllium in alkaline solutions...... 46 In this section, the influence of pH on the corrosion rate is compiled from various authors (Table 4). Finally, these data are also presented in Figure 21 to illustrate the logarithm increase of the corrosion rate in function of the pH. This figure shows that the increase of the corrosion rate as a function of the pH is similar whatever the temperature used during the study...... 54 Table 5. Corrosion rates for aluminium in alkaline conditions...... 55 Table 6. Corrosion rates for stainless steel in highly alkaline, anoxic conditions...... 64
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Abstract
In Belgian B&C waste, many metallic waste streams are present, the most important being zirconium alloys, metallic uranium, beryllium, aluminium, stainless steel, and Inconel. The current report investigates the corrosion mechanisms and kinetics for these metals in an alkaline and anaerobic environment. The six metals all have in common that they are covered by a thin oxide film, which in principle protects them from accelerated corrosion. The properties of these oxide films are function of the irradiation history and of the environment. At high pH, the corrosion rate of zirconium alloys is in the order of 1 nm/y or less. These rates were measured on pre-transition oxides that may not be representative for real out-of-reactor zirconium alloys. The corrosion rate of metallic uranium is initially high in cement-based materials, dropping to the order of magnitude of a few µm/y after a few weeks and eventually reaching 0.1 µm/y. The corrosion of beryllium increases at high pH (above pH 8) reaching several µm/y at pH 13 and higher. Aluminium is an amphoteric material with corrosion rates of tens of mm/y at pH 13 and higher. Stainless steels exhibit low corrosion rates at high pH, in the order of a few nm/y to below 1 nm/y. Inconel is predicted to have corrosion rates lower than 10 nm/y.
Keywords
Corrosion, alkaline, cement, concrete, nuclear waste disposal, zirconium, metallic uranium, beryllium, aluminium, stainless steel, Inconel.
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Executive Summary
In Belgium, radioactive waste is classified in three categories: A, B, and C. Category A is the short-lived (half-life less than 30 years) low- and intermediate- level waste (LILW), category B is the low- and intermediate-level waste contaminated by long-lived radionuclides and category C is the high-level conditioned waste containing large quantities of long-lived radionuclides. For the Belgian case, this corresponds basically to vitrified high-level waste and non-reprocessed spent fuel declared as waste. The origin of Belgian category B and C waste is multifold: fuel fabrication, electricity production in nuclear power plants, research reactors, pilot plants, … The main metals present in this waste are zirconium alloys (from the fuel claddings), metallic uranium (from the BR1 fuel), beryllium (from the BR2 moderator), aluminium (from the BR1 fuel cladding) and stainless steel (from the nuclear power plant reactor internals). Category B waste will be disposed of in cement-based monoliths, while category C waste will be placed in supercontainers, involving the use of a cement buffer. The disposal environment of both categories is based on Portland cement, with an initial pH of around 13.5, and maintaining a pH of 12.5 or higher for several tens of thousands of years. However, the purpose of this report is to describe the corrosion behavior of the considered metals in the pH range of 8-13.5, in order to provide input for all future disposal scenarios.
In general terms, the measurements of corrosion rates of metal can be grouped into three families:
weight loss measurements, electrochemical measurements, and hydrogen gas measurements.
Weight loss measurements have the disadvantage that they can only present an average corrosion rate over the exposure duration of the specimens. In other words, no kinetic law can be derived from these measurements, whereas this is important to have an indication of the long-term corrosion behaviour. There exists a plethora of electrochemical techniques to determine the corrosion rate. The advantage of electrochemical techniques is that they can give real-time information and thus provide a kinetic law for corrosion processes. On the other hand, they are not as precise as hydrogen gas measurements. During the anaerobic corrosion of metals, hydrogen gas is produced. Direct measurement of the evolved hydrogen gas is by far the most accurate method of determining the corrosion rate and it also offers the advantage of low detection limits in comparison with weight loss measurements and electrochemical techniques. Interesting experimental setups are the Japanese ESHG (‘experimental system for high-accuracy evaluation of gas generation’) and the setup used in the work of Roger Newman and Nick Senior in Canada.
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Corrosion of zirconium alloys
Three zirconium alloys have been used in Belgian nuclear power plants: Zircaloy-4 (a Zr-Sn alloy containing Sn, Fe and Cr), ZIRLO (a Zr-Nb-Sn-Fe-O alloy), and M5 (a Zr-Nb-Fe-O alloy without tin). In the in-pile corrosion of zirconium alloys three phases can be distinguished:
1. The early pre-transition phase, characterized by the formation of a thin, black, dense and tightly adherent corrosion film that grows thicker in accordance with a cubic rate law. 2. The midlife transition, or transitory state, that lies between the pre-transition and post- transition phase. This stage is comprised of a series of successive cubic curves, similar to the initial cubic kinetic curve, but initiating at shorter and shorter intervals. 3. The linear post-transition regime.
Data on the corrosion kinetics under alkaline and anoxic conditions, are scarce and are all derived from pre-transition oxides, whereas zirconium alloys would be expected to have post- transition oxides after their service life in the reactor. Zirconium alloys exhibit a long-term corrosion rate in the range 0.2-6 nm/y.
Corrosion of metallic uranium
In contact with water, metallic uranium corrodes to form uranium oxide and hydrogen, with the formation of uranium hydride as an intermediate compound. The corrosion rate of metallic uranium is higher in water than in air. However, the presence of oxygen in water leads to the formation of a protective layer of oxygen molecules at the surface of the metal, resulting in a reduction of the corrosion rate by a factor of 40. However, after only a few hundreds of hours, this inhibition disappears and the corrosion rate in both aerobic and anaerobic conditions is the same. The formation of the pyrophoric uranium hydride happened at the interface between metallic uranium and uranium oxide to reach a thickness of 3-5 nm. Moreover, this UH3 formation seems to form preferentially at grain boundaries or inclusion sites. No influence of irradiation was observed on the corrosion rate. However, water radiolysis could create H2O2, which is able to dissolve uranium in water. Increasing the pH of the water solution from 7 to 13.5 decreases the corrosion rate by only 10-15%, while at pH 2-3, the corrosion rate is decreased by a factor of 10. In cement-based materials at 25 °C, initial corrosion rates of 60- 150 µm/y were obtained. However, the corrosion rate rapidly dropped to 5-12 µm after only a few weeks. Moreover, values even lower than 0.1 µm/y have been measured if the cement- based material is no longer saturated with water.
Corrosion of beryllium
Beryllium is an amphoteric material whose corrosion behaviour can be compared to that of aluminium. The literature data on beryllium corrosion rates in highly alkaline, anoxic conditions is scarce. The corrosion rate seems to be a linear function of pH. In the pH range between 9 and 13, the corrosion rate is in the order of magnitude of several µm/y.
Corrosion of aluminium
Due to the amphoteric behaviour of the oxide/hydroxide layer formed at the aluminium surface, metallic aluminium corrodes in both acidic and alkaline media. However, this layer is protective against corrosion in the pH range between 4 and 8.5. In alkaline media, aluminium - corrodes to form aluminate ions (Al(OH)4 ) and hydrogen gas. If the temperature and the pH
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of the system increase, the corrosion rate increases too. At lower hydroxide concentrations (0.5 – 1 N), the corrosion rate is proportional to the cube root of the concentration of NaOH and
KOH, while it is proportional to the square root of the concentration of Ca(OH)2. At higher hydroxide concentrations, the corrosion rate is directly proportional to the hydroxide concentration. In alkaline solutions, corrosion rates as high as 500000 µm/y have been recorded at pH ~14 in some specific conditions. If encapsulated in cement-based materials, at the early stage of the encapsulation, when the cement-based material is still wet, the corrosion rate is high. However, the rate decreases fast to reach values as low as 0.5 µm/y after a few months/years. The corrosion rate can be reduced even further by adding inhibitors, such as
LiNO3 or sulphates, to the cement-based material. The cement composition can also be altered (e.g. addition of BFS) to decrease the pore water pH.
Corrosion of stainless steel
The corrosion resistance of stainless steel relies on the presence of a thin passive film on the surface of the metal. This oxide film is rich in chromium and forms and heals itself in the presence of oxygen. The basic mechanism of stainless steel corrosion is formed by the reactions of the main constituent, namely iron. The anoxic corrosion of stainless steel leads to the production of hydrogen gas. The main effect of an increased pH, as is the case in geological disposal, is a lower dissolution rate of the oxide. This leads to a thicker passive film and a lower corrosion rate. The corrosion rates measured in anoxic, alkaline conditions are in the order of several nm/y, with a maximum rate of 10 nm/y.
Corrosion of Inconel alloys
The most important Inconel alloys for the nuclear industry are alloys 600, 690, 718 and 800. There are no data found in the literature for the corrosion of Inconel alloys under anaerobic and highly alkaline conditions. Therefore, we suggest a maximum corrosion rate value of 10 nm/y, corresponding to the approximate corrosion rate of stainless steel, which also relies on a chromium-based passive film.
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1 Introduction In Belgium, radioactive waste is classified in three categories: A, B, and C. Category A is the short-lived (half-life less than 30 years) low- and intermediate- level waste (LILW), category B is the low- and intermediate-level waste contaminated by long-lived radionuclides and category C is the high-level conditioned waste containing large quantities of long-lived radionuclides. For the Belgian case, this corresponds basically to vitrified high-level waste and non-reprocessed spent fuel declared as waste. The purpose of this report is to describe the corrosion behavior of the considered metals in the pH range of 8-13.5, in order to provide input for all future disposal scenarios.
1.1 Metals present in category B and C waste The origin of Belgian category B and C waste is multifold: fuel fabrication, electricity production in nuclear power plants, research reactors, pilot plants,… The main metals present in this waste are zirconium alloys (from the fuel claddings), metallic uranium (from the BR1 fuel), beryllium (from the BR2 moderator), aluminium (from the BR1 fuel cladding), stainless steel (from the nuclear power plant reactor internals), and Inconel (from reactor internals). Another important metallic waste stream is carbon steel, but its corrosion is treated in a separate report (Kursten, 2015).
1.2 Engineered barrier system for category B and C waste The current reference design of the engineered barrier system is often referred to as the “supercontainer design”, which in fact is the name of the category C waste disposal package. It contains specific designs for the disposal of category B waste and category C waste.
1.2.1 Monolith for category B waste The primary waste packages containing category B waste are immobilised in mortar in concrete caissons to form monoliths (Figure 1a). Several monolith B designs exist to accommodate the large variety of primary waste packages, which differ according to the source of the waste.
In the supercontainer design (Figure 1b), the primary waste packages of high-level waste (vitrified waste and spent nuclear fuel) are surrounded by a carbon steel overpack, a buffer made of concrete containing Portland cement, and a stainless steel envelope. Carbon steel has been chosen as the overpack material because in the high pH environment of the supercontainer it is covered by a passive film and prone to general corrosion rather than the less predictable localized corrosion. The purpose of the buffer is to act as a radiation shield and as a pH controller in order to create favourable conditions with regard to the passivation of carbon steel. A stainless steel envelope will surround the buffer. The envelope will serve as a mould for construction of the buffer, serve as a first barrier against the ingress of aggressive species, provide mechanical strength and confinement, and could facilitate retrievability.
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(a)
(b)
Figure 1. (a) Monolith for category B waste (200 L drums). (b) Supercontainer for category C waste: 3D representation of a supercontainer containing 2 vitrified waste canisters (left) and a supercontainer containing 4 UOX spent fuel assemblies (right) [NIROND 2017].
1.3 Geochemical evolution of the engineered barrier system The monolith B and supercontainer designs have in common that they rely on a cement-based buffer or embedding matrix that will maintain the pH at high levels for several thousands of years. As the type of waste does not have a direct influence on the evolution of the Portland cement (although the heat dissipation of the waste will change the temperature of the cement and hence the diffusion parameters), a general description of the engineered barrier evolution suffices for both waste categories. In this discussion, we will focus on the evolution of pH.
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2 Qualification of techniques for the determination of corrosion rates In the determination of corrosion rates of metals, several techniques have been used. Roughly speaking, the methods reported in the literature can be divided into three groups:
Weight loss measurements Electrochemical measurements Direct measurement of the evolved hydrogen gas due to anaerobic corrosion
Before we discuss these three groups however, we will diverge on a common and important step in corrosion studies (prior to the actual corrosion rate measurement), namely the surface preparation.
Surface preparation
Ideally, the surface of the investigated sample should be identical to the surface of the actual waste form. In many cases, the metallic samples (in the waste inventory) are covered with an oxide or hydroxide layer whose properties are a function of the environmental and irradiation history of the metal. This implies that either ‘real’ waste samples have to be used or that the surface layer of the samples has to be engineered to closely resemble the surface of real samples. Because this is often impossible and because in many cases standardization of tests is desired, often a clean sample surface is used for the corrosion tests. Such a clean surface is acquired in most cases by chemical cleaning and/or polishing. This involves removal of oxide layers and polishing the samples to, in some cases, a high finish. A common preparation method for metals is acidic pickling. The purpose of pickling is to remove impurities, stains, inorganic contaminants and rust and scale. The basis of the pickling is mostly a strong acid, such as hydrochloric acid and sulphuric acid. The same cleaning degree can be obtained by mechanical polishing on SiC paper. As said, the advantage of these procedures is the production of a reproducible and well described surface, which enables to compare the results from different laboratories. However, the question has to be raised in how far these standardized surfaces represent reality. For example, on passivating metals, pickling will lead to an excessively high initial corrosion rate due to the formation of a fresh passive layer in the beginning of the exposure to the corroding environment (Figure 2). This means that tests have to last long enough for the corrosion rate to drop to realistic values. Another example is the corrosion of zirconium alloys, which exhibit a different kinetic regime for samples irradiated in a nuclear reactor (i.e. post-transition kinetics) compared to fresh samples (i.e. pre-transition kinetics). This will be explained in Chapter 3, but for now it suffices to mention that the use of pre-transition samples may lead to an erroneous measurement of the corrosion rate. The inconvenience with surface preparation is that the experimental error it produces is not easy to measure.
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Figure 2. Comparison of corrosion rates of pickled carbon steel versus pre-corroded carbon steel in various environments (Smart et al., 2014).
Weight loss measurements
The determination of the corrosion rate by weight loss consists in comparing the weights of a given sample before and after the corrosion test. After the surface preparation step (which may also be omitted in the use of ‘as-received’ samples) the metallic samples are weighed and their dimensions are measured in order to determine the exposed surface area. The original area is used to calculate the corrosion rate during the test. Therefore, any error in measuring the surface area will be introduced into the calculation of the corrosion rate. A second source of error is that the corrosion rate determination is based on the total weight of oxide produced, including not only the oxide produced through corrosion, but also through pre-oxidation of the sample by contact with air before the experiment, insufficient degassing or leakage of the corrosion cells resulting in residual oxygen (in the case of anoxic tests), and contact of the sample with air after the corrosion test but before the dissolution of the oxide. The main shortcoming of weight loss measurements however is that they only produce an average corrosion rate over the duration of the corrosion test, in other words no kinetic law can be derived from this method, whereas in most cases (and certainly in the safety assessment of nuclear waste disposal systems), it is important to have a good idea of the long-term corrosion rate.
Electrochemical techniques
There exists a plethora of electrochemical techniques that enable to determine, indirectly, the corrosion rate: polarization curves, Tafel extrapolation, linear polarization resistance, galvanostatic pulse, electrochemical impedance spectroscopy and electrochemical noise. A detailed description of these methods can be found in e.g. (Bard and Faulkner, 2001; Kursten,
2015). Most of them yield a value of the corrosion current density (icorr), based on the measurement of the polarization resistance RP:
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