Next Article in Journal
In Situ ZrB2 Formation in B4C Ceramics and Its Strengthening Mechanism on Mechanical Properties
Next Article in Special Issue
Metallurgical Process Simulation and Optimization
Previous Article in Journal
Design and Preparation of Double-Harmonic Piezoelectric Composite Lamination
Previous Article in Special Issue
Unveiling the Effect of CaF2 on the Microstructure and Transport Properties of Phosphosilicate Systems
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

New Insights into the Mechanism of Nucleation of ZrO2 Inclusions at High Temperature

1
School of Materials and Metallurgy, Guizhou University, Guiyang 550025, China
2
State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China
3
School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China
4
Department of Materials and Metallurgy Engineering, Guizhou Institute of Technology, Guiyang 550003, China
*
Author to whom correspondence should be addressed.
Materials 2022, 15(22), 7960; https://doi.org/10.3390/ma15227960
Submission received: 17 October 2022 / Revised: 1 November 2022 / Accepted: 3 November 2022 / Published: 10 November 2022
(This article belongs to the Special Issue Metallurgical Process Simulation and Optimization)

Abstract

:
It is difficult to observe the nucleation mechanism of inclusions in real-time. In this study, the nucleation process of zirconium oxide inclusions was systematically studied by classical nucleation theory and first principles. Zr deoxidized steel with 100 ppm Zr addition was processed into metallographic samples for scanning electron microscopy energy-dispersive spectroscopy observation. The electrolytic sample was analyzed by micro X-ray diffraction and transmission electron microscopy, and the zirconium oxide in the sample was determined to be ZrO2. The nucleation rate and radius of the ZrO2 inclusions were calculated by classical nucleation theory, and they were compared with the experimental values. There was a considerable difference between the experimental and theoretical values of the nucleation rate. The effect of the nucleation size was analyzed by first-principles calculation, and the thermodynamic properties of ZrO2 clusters and nanoparticles were analyzed by constructing (ZrO2)n (n = 1–6) clusters. The thermodynamic properties of ZrO2 calculated by first principles were consistent with the values in the literature. Based on two-step nucleation theory, the nucleation pathway of ZrO2 is as follows: Zratom + Oatom → (ZrO2)n → (ZrO2)2 → core (ZrO2 particle)–shell ((ZrO2)2 cluster) nanoparticle → (ZrO2)bulk.

1. Introduction

The mechanical properties and service life of steel are seriously affected by inclusions. After the proposal of the concept of oxide metallurgy [1], researchers have realized that it is important to control the size of inclusions [2,3,4] rather than increase the smelting cost [5,6,7,8]. Formation of inclusions begins with nucleation, and exploring the nucleation mechanism and properties of inclusions in steel is important to control the inclusion size. However, owing to the high speed of inclusion nucleation and high smelting temperature, the inclusion-nucleation process is difficult to detect and observe directly. Therefore, research on the inclusion of nucleation in steel is a challenge.
Researchers have found that Zr-containing inclusions can promote acicular ferrite transformation in Zr-deoxidized steel under certain conditions [9,10,11,12,13]. Zr-containing inclusions in Zr-deoxidized steel also play an important role in oxide metallurgy. On the one hand, they can induce nucleation of intragranular ferrite. There are several theories about the nucleation mechanism of ferrite. The change in the chemical composition of austenite around inclusions promotes nucleation. Inclusions and precipitates are coherent with ferrite to reduce the potential nucleation barrier and promote nucleation. In addition, the strain energy caused by the difference in thermal shrinkage between inclusions and austenite, as well as inclusions acting as an inert interface, promotes nucleation [14]. Among the proposed theories, the Mn-depleted-zone mechanism formed by the precipitation of MnS on ZrO2 is considered to be one of the most effective mechanisms for intragranular ferrite nucleation [15,16]. On the other hand, Zr-containing inclusions play an important role in controlling the distribution of MnS inclusions in the steel. The density of ZrO2 is close to that of liquid steel, and the volume is small. Therefore, it is not easy for ZrO2 to float up in liquid steel, and it is easier for ZrO2 to disperse and distribute in steel to improve the distribution of sulfide through heterogeneous nucleation. Theoretical calculation shows that the lattice mismatch degree between MnS and ZrO2 is only 5.2%, and ZrO2 is the most effective nucleation core to promote MnS nucleation [17]. The thermodynamics from first-principles calculation show that Mn will diffuse into ZrO2 because ZrO2 has cationic vacancies and can absorb Mn [18]. Whether it induces intragranular ferrite nucleation or acts as a heterogeneous nucleation core, the key is the size control of ZrO2. However, there has been limited research on the nucleation mechanism and size control of ZrO2. In addition, the inclusion-nucleation speed is fast and the smelting temperature is high, so the inclusion-nucleation process is difficult to detect and observe directly.
To study the evolution of alumina inclusions at the atom scale, Wang et al. [19,20,21] investigated the cluster structure from experimental and theoretical aspects, and they proposed a two-step nucleation mechanism. Using quenching and three-dimensional atomic-probe detection technology, Zhao et al. [22] captured the intermediate structure of titanium oxide, and they proposed the cluster-assisted nucleation mechanism. Yang et al. [23] simulated the growth process of clusters by molecular dynamics, and they found that clusters grow through collision. However, there has been limited research on the nucleation of zirconium oxide. Thus, it is necessary to study the nucleation process of zirconium oxide.
In this study, a high-temperature Zr deoxidation experiment was carried out, and the characteristics of the zirconium oxide inclusions in liquid steel, such as the composition, morphology, size, quantity, and area density, were statistically analyzed. According to classical thermodynamic nucleation theory, the relationships between the solute element activities and the nucleation radius and nucleation rate of inclusions were obtained, and the theoretical nucleation rate was compared with the experimental nucleation rate. Cluster models of zirconium oxide were constructed by Materials Studio software. The cluster structure and thermodynamic properties of nanoparticles after geometric optimization were calculated, and the accuracy of the first-principles calculation was verified. By combining the high-temperature experimental results, classical nucleation calculations, and first-principles analysis, the nucleation mechanism of zirconium oxide inclusions is proposed.

2. Materials and Methods

2.1. Sample Preparation

Pure iron was used as the raw material, and it was heated in a Si–Mo heating electric resistance furnace (Braveman Special Testing Furnace CO. LTD., Luoyang, Henan, China). The chemical composition of the pure iron sample is shown in Table 1. The pure iron sample was heated to 1873 K (1600 °C) in an alumina crucible in the Si–Mo heating electric resistance furnace. After the temperature was maintained at 1873 K for 30 min, the Zr–Fe alloy (60% Zr) wrapped in a high-purity iron belt was added to the melted pure iron, followed by stirring for 10 s to ensure uniform distribution of the Zr–Fe alloy. Finally, 120 s after adding the Zr–Fe alloy, samples were removed in quartz tubes, followed by quenching in water. The whole experimental process was protected by high-purity argon gas.
The inclusions were extracted by electrolysis. A copper plate was used as the cathode, and the sample was the anode. After electrolysis, the anode was placed in anhydrous ethanol. By ultrasonic cleaning, the inclusions attached to the anode were dispersed in anhydrous ethanol. Finally, the inclusions extracted by electrolysis were analyzed by micro X-ray diffraction (μXRD, Bruker D8 Advance, Bruker, Berlin, Germany) and transmission electron microscopy (TEM, JEOL JEM-F200, JEOL, Tokyo, Japan).

2.2. Microstructure and Composition Characterization

To measure the composition and morphologies, the samples were processed into ⌀5 mm × 15 mm metallographic samples. Scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM-EDS) (EM-30PLUS, COXEM, Daejeon, Korea) was then performed. In addition, the samples were processed into ⌀5 mm × 10 mm bars for total oxygen and nitrogen content detection by the fusion-infrared absorption method. The oxygen and nitrogen contents were measured three times to investigate the uniformity of the total oxygen and nitrogen contents in the molten iron. In addition, the total Zr content was measured by inductively coupled plasma–atomic emission spectroscopy. The chemical contents of oxygen, nitrogen, and zirconium are given in Table 2.
To measure the composition of the inclusions in the steel after zirconium addition, the inclusions extracted by electrolysis were observed by μXRD and TEM. The results provided an experimental reference for subsequent first-principles calculation of inclusion crystal-type selection.

2.3. Nucleation Calculation

According to classical nucleation theory, the critical nucleation size and nucleation rate I [cm−3·s−1] can be calculated by [24]
ln I = 16 π γ S L 3 V O 2 3 k B R 2 T 3 1 ln S O * 2 1 ln S O 2
r C = 2 γ S L G V = 2 r S L V O R T ln S O
where kB is the Boltzmann constant (1.38 × 10−23 J/K), R is the gas constant (8.314 J/(mol K)), T [K] is the absolute temperature, and VO [m3/mol] is the molar volume of oxide. γ S L [J/m2] is the interfacial energy between the oxide and liquid steel, and it can be expressed by Young’s equation:
γ S L = γ S V γ L V cos θ
γ L V = 1.75 0.279 ln 1 + 140 · a O
where γ S V is the surface energy of the solid inclusion, γ L V is the surface energy of the liquid steel, which has been calculated in previous studies [25,26], and θ is the contact angle between liquid steel and the inclusion, as illustrated at Table 3.
The experimental values of the nucleation rate I can be obtained by [24]
I = f v 4 3 π r 3 · t
where t is the nucleation time (generally taken to be 0.2 s [29]) and r is the critical nucleation radius obtained by Equation (2). fv is the volume fraction of oxide particles: [24]
f v = ρ F e ρ Z r O 2 · M Z r O 2 x M Z r · ppm   insol .   Zr × 10 6
where ρFe and ρZrO2 are the densities of Fe and ZrO2, respectively (ρFe = 7.8 g/cm3, ρZrO2 = 5.85 g/cm3) [30], MZrO2 is the molecular weight of ZrO2, Mzr is the atomic weight of Zr, and [ppm insol. Zr] represents the Zr content.

2.4. First-Principles Calculation

The DMol [3] module based on density functional theory in the Materials Studio software package (Materials Studio8.0, Accelrys, California, America) was used for cluster optimization and thermodynamic property calculation. The Broyden–Fletcher–Goldfarb–Shanno mechanism was used for geometric optimization. The Perdew–Burke–Ernzerhof functional with the generalized gradient approximation was selected as the electron exchange–correlation potential function [31].

3. Results

3.1. Inclusion Characterization

To obtain the size distribution of the ZrO2 inclusions, 100 SEM images were continuously taken at 5000× magnification, and the total observed area was 0.11 mm2. The average size of the ZrO2 inclusions in the sample was 0.56 μm, and the size distribution of ZrO2 inclusions approximately approached a normal distribution (Figure 1).
The inclusions extracted by electrolysis were characterized by µXRD, and the morphology and composition were analyzed by SEM-EDS (Figure 2). From the mapping image, the inclusions in the Zr deoxidized steel were zirconium oxide. A few Al inclusions were also detected because of the trace amount of Al in the raw materials. The results of µXRD suggested that the zirconium oxide was ZrO2. In addition, both monoclinic and tetragonal ZrO2 were detected. This may be because of the transformation of tetragonal ZrO2 to monoclinic ZrO2 during rapid cooling.

3.2. Classical Nucleation Calculation

According to classical nucleation theory, the relationship between the critical nucleation radius of ZrO2 and the activities of the solute elements at 1873 K is shown in Figure 3a. When the Zr activity is in the range 0.0001–1, and the oxygen activity is in the range 0.0001–0.1, the critical nucleation radius of ZrO2 is 0.3–1.2 nm. The relationship between the nucleation rate and solute element activities is shown in Figure 3b. When the Zr activity is in the range 0.0001–1, and the oxygen activity is in the range 0.001–0.1, the critical nucleation rate of ZrO2 is in the range 100–560 cm−3·s−1. The points in Figure 3 are the experimentally measured Zr and oxygen activities.
To obtain the activities of zirconium and oxygen, the composition of the zirconium deoxidized steel and corresponding thermodynamic data were substituted into
  a i = f i mass %   i
log f i = e i j mass %   i
where a i , f i , and mass %   i are the activity, activity coefficient, and concentration of element i, respectively, and e i j is the first-order interaction coefficient (Table 4).
The experimentally estimated value of ln I can be calculated by Equations (5) and (6). The experimental value of ln I was 57 cm−3·s−1. From Figure 3, the theoretical value of ln I is approximately −40 cm−3·s−1. Therefore, the experimental value of the nucleation rate I was approximately 40 orders of magnitude larger than the theoretical value.

3.3. First-Principles Calculations

According to the two-step nucleation mechanism, the nucleation process of inclusions in liquid steel should include the multiphase deoxidation reaction, which can be expressed by the following two steps [32,33,34,35]. In the first step, the deoxidized elements in the molten steel melt and dissolve, and the deoxidized element atoms react with the dissolved oxygen in the molten steel to form oxide clusters. In the second step, the clusters combine to form cluster aggregates. The cluster aggregates then form critical crystal nuclei.

3.3.1. Structures of (ZrO2)n Clusters

With increasing n value, the average bond length of the (ZrO2)n cluster initially slightly increases, and it finally fluctuates at approximately 2.0 Å (Table 5). The nucleon binding ability in the nucleus is stronger and more stable for larger average binding energy (Ebin). The average binding energies of the (ZrO2)n (n = 1–6) clusters are negative (Table 5), indicating that the binding between nuclei is relatively stable.
With an increasing number of atoms (n = 1–6), the average binding energy of the (ZrO2)n cluster decreases, especially between the (ZrO2)1 and (ZrO2)2 clusters. This may be because of the energy error caused by the different numbers of atoms in different clusters. Therefore, the energy gap was used to compare the stabilities of the clusters. The energy gap is the difference between the lowest unoccupied molecular orbital (LUMO) and the highest occupied molecular orbital (HOMO). The energy gap reflects the ability of electrons to transition from an occupied orbital to an empty orbital, and it represents the ability of molecules to participate in chemical reactions. The system is more stable for a larger energy gap [36].
The energy gaps of the (ZrO2)n clusters are given in Table 6. The (ZrO2)2 cluster has the largest energy gap, indicating that the (ZrO2)2 cluster is the most stable of the (ZrO2)n clusters (n = 1–6). The LUMOs and HOMOs of the (ZrO2)n clusters are shown in Figure 4. The blue and yellow area denote the orbitals of electron cloud, where the color is to distinguish the plus or minus of orbital wave function.

3.3.2. Thermodynamic Properties of the (ZrO2)n Clusters

The thermodynamic properties of ZrO2 are shown in Figure 5. Where S is the entropy, and Cp is the heat capacity. In this study, the ZrO2 crystal structure was tetragonal. The lines and points represent the calculated thermodynamic properties and values in the literature, respectively [37]. In the temperature range of 0–1000 K, there is a certain degree of deviation between the calculated and the values in the literature, but the variation trend of the thermodynamic properties with temperature is consistent. To the best of our knowledge, the reason that caused deviation is mainly the machine error derived from the thermochemical software package, and it was not possible to meet strict consistency criteria when combining data from various sources to form a data set for a substance. Another reason is that phase transformation occurred between monoclinic and tetragonal ZrO2. In general, the calculated value is in good agreement with the value from the literature.

3.3.3. Gibbs Free Energy Changes of (ZrO2)n Clusters and Nanoparticles

The formation Gibbs free energy (ΔG) curves of the (ZrO2)n clusters and ZrO2(s) are shown in Figure 6a,b, respectively. The formation Gibbs free energies of (ZrO2)n (n = 1–6) are negative, suggesting the (ZrO2)n (n = 1–6) clusters form. However, the formation Gibbs free energy change from (ZrO2)1 to ZrO2(s) is positive, so the reaction from (ZrO2)1 to ZrO2(s) does not occur when the temperature is greater than 1000 K.
The Gibbs free energy changes from nanoscale ZrO2 to ZrO2(bulk) and from the Zr and O atoms to nanoscale ZrO2 are shown in Figure 7a,b, respectively. The Gibbs free energy of the macroscale ZrO2 crystal is less than zero, indicating that nanoscale ZrO2 will spontaneously transform to the macroscale ZrO2 crystal.

4. Discussion

The formation of Gibbs free energy changes of the (ZrO2)n clusters and various ZrO2 nanoparticles are shown in Figure 8. Most of the Gibbs free energy change curves of the (ZrO2)n clusters are higher than those of the ZrO2 nanoparticles, which is in agreement with the law of the step-by-step change of the thermodynamic stability., from the perspective of the gradual decrease of the energy, this law indicates that the formation process of ZrO2 occurs from the atoms to clusters to nanoscale crystal particles to the macroscale crystal.
The surfaces of nanoparticles usually contain two or three atomic layers [38,39], and the average length of the Zr–O bond is approximately 0.214 nm. Therefore, the surface atomic layer of zirconium oxide nanoparticles is approximately 0.428–0.642 nm thick. From Table 4, the sizes of the (ZrO2)n clusters are also within this range. In addition, from Table 5, the energy gap of the (ZrO2)2 cluster is the largest, indicating that this cluster is the most stable. Therefore, the (ZrO2)2 cluster may be the atomic layer on the surface of the ZrO2 nanoparticle. Based on the two-step nucleation theory, it is speculated that the nucleation pathway of ZrO2 is Zratom + Oatom → (ZrO2)n → (ZrO2)2 → core (ZrO2 particle)–shell ((ZrO2)2 cluster) nanoparticle → (ZrO2)bulk. The nucleation process of ZrO2 at 1873 K is shown in Figure 9.

5. Conclusions

High-temperature deoxidation experiments and inclusion-extraction experiments have been performed. The nucleation process of ZrO2 inclusions in Zr deoxidized steel was investigated by classical nucleation theory and first-principles calculation. The main conclusions are as follows.
When the Zr content was 100 ppm, SEM-EDS showed that the main inclusions in the steel were ZrO2. μXRD analysis confirmed the existence of ZrO2, and monoclinic and tetragonal ZrO2 were simultaneously detected, which may be because tetragonal ZrO2 transformed to monoclinic ZrO2 during the rapid cooling process. The average size of the ZrO2 inclusions was 0.56 μm. Through classical nucleation theory, the relationships between the solute element activities and the nucleation radius and nucleation rate of ZrO2 were obtained. The theoretical value of the nucleation rate was compared with the values in the literature, and the experimental value of I was approximately 40 orders of magnitude larger than the theoretical value.
The thermodynamic properties of macroscale ZrO2 were calculated by first principles, and the results were consistent with the experimental values. (ZrO2)n (n = 1–6) cluster models were constructed, and the thermodynamic properties of the geometrically optimized cluster structures and nanoscale ZrO2 particles were calculated, which verified the rationality of the existence of the pre-nucleation phase in terms of the thermodynamics. Based on two-step nucleation theory, the nucleation pathway of ZrO2 is proposed to be Zratom + Oatom → (ZrO2)n → (ZrO2)2 → core (ZrO2 particle)–shell ((ZrO2)2 cluster) nanoparticle → (ZrO2)bulk.

Author Contributions

L.W., C.C. and S.Y. conceived the idea and designed the research. Y.L. performed the theoretical calculations. Y.L. and X.L. performed the µXRD analyses. X.L. performed the high-temperature experiments. Y.L. and L.W. wrote the original draft of the paper, and all authors contributed to the review and editing of the paper. L.W. acquired the funding and supervised the study. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the National Science Foundation of China (Grant Nos. 52064011 and 52274331) and the Science and Technology Planning Project of Guizhou (Grant Nos. Qian Ke He Ji Chu ZK [2021]258 and Qian Ke He Zhi Cheng [2021]342). This study was also supported by the Research Program for Talented Scholars of the Guizhou Institute of Technology (Grant No. XJGC20190962).

Data Availability Statement

Part of the data presented in this study are available on request from the corresponding author. The data are not publicly available due to intellectual property.

Acknowledgments

Thanks for the computing support of the State Key Laboratory of Public Big Data, Guizhou University.

Conflicts of Interest

The authors state that there are no conflict of interest to disclose.

References

  1. Takamura, J.I.; Mizoguchi, S. Roles of oxides in steel performance. Proceedings of The Sixth International Iron and Steel Congress, ISIJ International, Nagoya, Japan, 21–26 October 1990; pp. 591–597. [Google Scholar]
  2. Wang, L.; Yang, S.; Li, J.; Chen, C.; Li, C.; Li, X. Study on the Capillary Interaction Between Particles on the Surface of High-Temperature Melts. Steel Res. Int. 2021, 92, 2100013. [Google Scholar] [CrossRef]
  3. Li, Y.; Wang, L.; Li, J.; Yang, S.; Chen, C.; Li, C.; Li, X. In-Situ Observation on the Agglomeration and Dispersion of Particles at the Interface of High-temperature Melts. ISIJ Int. 2021, 61, 753–762. [Google Scholar] [CrossRef]
  4. Abraham, S.; Bodnar, R.; Raines, J.; Wang, Y. Inclusion engineering and metallurgy of calcium treatment. J. Iron Steel Res. Int. 2018, 25, 133–145. [Google Scholar] [CrossRef]
  5. Liu, W.; Yang, S.F.; Li, J.S.; Wang, F.; Yang, H.B. Numerical model of inclusion separation from liquid metal with consideration of dissolution in slag. J. Iron Steel Res. Int. 2019, 26, 1147–1153. [Google Scholar] [CrossRef]
  6. Peng, B.W.; Li, F.J.; Zheng, S.B.; Li, H.G.; Zhai, Q.J. Inclusion control study in high aluminum steel. J. Iron Steel Res. Int. 2018, 25, 796–802. [Google Scholar] [CrossRef]
  7. Zhao, K.W.; Zeng, J.H.; Wang, X.H. Nonmetallic inclusion control of 350 km/h high speed rail steel. J. Iron Steel Res. Int. 2009, 16, 20–26. [Google Scholar] [CrossRef]
  8. Wang, L.; Yang, S.; Li, J.; Wu, T.; Liu, W.; Xiong, J. Improving Cleanliness of 95CrMo Drill Rod Steel by Slag Refining. Met. Mater. Trans. A 2016, 47, 99–107. [Google Scholar] [CrossRef]
  9. Yang, Y.; Zhan, D.; Lei, H.; Qiu, G.; Li, Y.; Jiang, Z.; Zhang, H. In situ observation of acicular ferrite nucleation and growth at different cooling rate in Ti-Zr deoxidized steel. Metall. Mater. Trans. B 2019, 50, 2536–2546. [Google Scholar] [CrossRef]
  10. Chai, F.; Yang, C.F.; Su, H.; Zhang, Y.Q.; Xu, Z.; Yang, Y.H. Effect of Zr addition to Ti-killed steel on inclusion formation and microstructural evolution in welding induced coarse-grained heat affected zone. Acta Metall. Sin. Engl. Lett. 2008, 21, 220–226. [Google Scholar] [CrossRef]
  11. Guo, A.M.; Li, S.R.; Guo, J.; Li, P.H.; Ding, Q.F.; Wu, K.M.; He, X.L. Effect of zirconium addition on the impact toughness of the heat affected zone in a high strength low alloy pipeline steel. Mater. Charact. 2008, 59, 134–139. [Google Scholar] [CrossRef]
  12. Wu, H.B.; Hou, M.; Liang, G.L.; Tang, D. Effect of zirconium on the low-temperature toughness of CGHAZ in F40 ship plates containing titanium. J. Univ. Sci. Technol. Beijing 2012, 34, 137–142. [Google Scholar]
  13. Min, J.; Hu, Z.; Wang, X.; Pak, J.J. Characterization of microstructure and non-metallic inclusions in Zr-Al deoxidized low carbon steel. ISIJ Int. 2013, 53, 1386–1391. [Google Scholar]
  14. Bhadeshia, H.K.D.H.; Honeycombe, R.W.K. Steels Micro-Structure and Properties, 3rd ed.; Elsevier Ltd.: Oxford, UK, 2006; Volume 7, pp. 1–360. [Google Scholar]
  15. He, K.; Baker, T.N. Zr-contaning precipitates in a Ti-Nb micro-alloyed HSLA steel containing 0.016% Zr addition. Mater. Sci. Eng. 1996, 215, 57–66. [Google Scholar]
  16. Sarma, D.S.; Karasev, A.V.; Jonsson, P.G. On the role of nonmetallic inclusions in the nucleation of acicular ferrite in steels. ISIJ Int. 2009, 49, 1063–1074. [Google Scholar] [CrossRef] [Green Version]
  17. Guo, Q.Y.; Song, B.; Song, M.M. Effects of Ti, Al and Zr deoxidation on morphology of sulfides in medium-sulfur non-quenched and tempered steel. Trans. Mater. Heat Treat. 2019, 40, 133–139. [Google Scholar]
  18. Li, Y.; Wan, X.L.; Cheng, L.; Wu, K.M. First-principles calculation of the interaction of Mn with ZrO2 and its effect on the formation of ferrite in high-strength low-alloy steels. Scr. Mater. 2014, 75, 78–81. [Google Scholar] [CrossRef]
  19. Wang, G.; Zhang, L. Thermodynamics dependent on size in nucleation process of inclusions and calculation of critical nucleus radius in clean molten steel. Iron Steel 2012, 47, 22–26. [Google Scholar] [CrossRef]
  20. Wang, G.C.; Wang, Q.; Li, S.L.; Ai, X.G.; Fan, C.G. Evidence of Multi-step Nucleation Leading to Various Crystallization Pathways from an Fe-O-Al Melt. Sci. Rep. 2014, 4, 5082. [Google Scholar] [CrossRef] [Green Version]
  21. Lei, H.; Xiao, Y.; Wang, G.; Zhang, H.; Jin, W.; Zhang, L. Thermodynamic insight into the growth of nanoscale particle of Al-deoxidation in Fe–O–Al melt. Sci. Rep. 2020, 10, 16909. [Google Scholar] [CrossRef]
  22. Zhao, D.; Bao, W.; Li, H.; Zheng, S.; Chou, K.-C. Cluster-assisted nucleation mechanism of titanium oxides in Fe-Ti supercooled alloys. J. Alloys Compd. 2018, 744, 797–800. [Google Scholar] [CrossRef]
  23. Yang, L.; Zhang, W.; He, L.; Li, H.; Zheng, S. Study on the growth and morphology evolution of titanium oxide clusters in molten iron with molecular dynamics simulation. RSC Adv. 2019, 9, 32620–32627. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Suito, H.; Ohta, H. Characteristics of Particle Size Distribution in Early Stage of Deoxidation. ISIJ Int. 2006, 46, 33–41. [Google Scholar] [CrossRef] [Green Version]
  25. Wang, L.; Li, J.; Yang, S.; Chen, C.; Jin, H.; Li, X. Nucleation and Ostwald Growth of Particles in Fe-O-Al-Ca Melt. Sci. Rep. 2018, 8, 1135. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Li, Y.; Wang, L.; Chen, C.; Li, J.; Li, X. Effect of Mg Treatment on the Nucleation and Ostwald Growth of Inclusions in Fe-O-Al-Mg Melt. Materials 2020, 13, 3355. [Google Scholar] [CrossRef] [PubMed]
  27. Humenik, M.; Kingery, W.D. Metal-Ceramic Interactions: III, Surface Tension and Wettability of Metal-Ceramic Systems. J. Am. Ceram. Soc. 1954, 37, 18–23. [Google Scholar] [CrossRef]
  28. Hino, M.; Ito, K. Thermodynamic Data for Steelmaking, 2nd ed.; Tohoku University Press: Tohoku, Japan, 2010; pp. 247–264. [Google Scholar]
  29. Ohta, H.; Suito, H. Efects of Dissolved Oxygen and Size Distribution on Particle Coarsening of Deoxidation Product. ISIJ Int. 2006, 46, 42–49. [Google Scholar] [CrossRef] [Green Version]
  30. Sakata, K.; Suito, H. Dispersion of fine primary inclusions of MgO and ZrO2 in Fe-10 mass pct Ni alloy and the solidification structure. Met. Mater. Trans. B 1999, 30, 1053–1063. [Google Scholar] [CrossRef]
  31. Perdew, J.P.; Burke, K.; Ernzerhof, M. Generalized Gradient Approximation Made Simple. Phys. Rev. Lett. 1997, 77, 3865. [Google Scholar] [CrossRef] [Green Version]
  32. Wang, G.; Xiao, Y.; Zhao, C.; Jing, L.; Shang, D. Atomic Cluster Aggregates in Nucleation of Solid Alumina Inclusion in the Aluminum Deoxidation for Liquid Iron. Metall. Mater. Trans. B 2017, 49, 282–290. [Google Scholar] [CrossRef]
  33. Wang, G.; Xiao, Y.; Song, Y.; Zhou, H.; Tian, Q.; Li, F. A density functional study on the aggregation of alumina clusters. Res. Chem. Intermed. 2017, 43, 1447–1463. [Google Scholar] [CrossRef]
  34. Xiao, Y.; Lei, H.; Yang, B.; Wang, G.; Wang, Q.; Jin, W. Nucleation and growth for magnesia inclusion in Fe-O-Mg melt. RSC Adv. 2018, 8, 38336–38345. [Google Scholar] [CrossRef] [Green Version]
  35. Xiao, Y.; Lei, H.; Yang, B.; Zhao, Y.; Wang, Q.; Wang, G. Thermodynamic insight into the growth of Calcia inclusions at the nanoscale: The case of Fe-O-Ca melt. RSC Adv. 2019, 9, 11135–11141. [Google Scholar] [CrossRef] [Green Version]
  36. Aihara, J.-I. Reduced HOMOLUMO Gap as an Index of Kinetic Stability for Polycyclic Aromatic Hydrocarbons. J. Phys. Chem. A 1999, 103, 7487–7495. [Google Scholar] [CrossRef]
  37. Chase, M.W. NIST-JANAF Thermochemical Tables; American Chemical Society: Washington, DC, USA, 1998; Volume 2, pp. 1880–1881. [Google Scholar]
  38. Byun, J.S.; Shim, J.H.; Cho, Y.W.; Lee, D.N. Non-metallic particle and intragranular nucleation of ferrite in Ti-killed C-Mn steel. Acta Mater. 2003, 51, 1593–1606. [Google Scholar] [CrossRef]
  39. Phillpot, S.R.; Wolf, D.; Gleiter, H. Molecular dynamics study of the synthesis and characterization of a fully dense, three dimensional nanocrystalline material. J. Appl. Phys. 1995, 78, 847–861. [Google Scholar] [CrossRef]
Figure 1. Size distribution of ZrO2 in Zr deoxidized steel.
Figure 1. Size distribution of ZrO2 in Zr deoxidized steel.
Materials 15 07960 g001
Figure 2. Morphology, composition, and X-ray diffraction pattern of the inclusions in Zr deoxidized steel.
Figure 2. Morphology, composition, and X-ray diffraction pattern of the inclusions in Zr deoxidized steel.
Materials 15 07960 g002
Figure 3. Relationships between the activities of the solute elements and the (a) critical nucleation radius and (b) nucleation rate of ZrO2.
Figure 3. Relationships between the activities of the solute elements and the (a) critical nucleation radius and (b) nucleation rate of ZrO2.
Materials 15 07960 g003
Figure 4. HOMOs and LUMOs of the (ZrO2)n clusters.
Figure 4. HOMOs and LUMOs of the (ZrO2)n clusters.
Materials 15 07960 g004
Figure 5. Thermodynamics properties of ZrO2.
Figure 5. Thermodynamics properties of ZrO2.
Materials 15 07960 g005
Figure 6. (a) Formation Gibbs free energy curves of (ZrO2)n. (b) Formation Gibbs free energy curve of ZrO2(s).
Figure 6. (a) Formation Gibbs free energy curves of (ZrO2)n. (b) Formation Gibbs free energy curve of ZrO2(s).
Materials 15 07960 g006
Figure 7. (a) Gibbs free energy change from nanoscale ZrO2 to ZrO2(bulk). (b) Gibbs free energy changes from the Zr and O atoms to nanoscale ZrO2.
Figure 7. (a) Gibbs free energy change from nanoscale ZrO2 to ZrO2(bulk). (b) Gibbs free energy changes from the Zr and O atoms to nanoscale ZrO2.
Materials 15 07960 g007
Figure 8. Formation Gibbs free energy changes of (ZrO2)n clusters and various ZrO2 nanoparticles.
Figure 8. Formation Gibbs free energy changes of (ZrO2)n clusters and various ZrO2 nanoparticles.
Materials 15 07960 g008
Figure 9. Nucleation process of zirconium oxide at 1873 K.
Figure 9. Nucleation process of zirconium oxide at 1873 K.
Materials 15 07960 g009
Table 1. Chemical contents of the impurities in the pure iron sample (wt%).
Table 1. Chemical contents of the impurities in the pure iron sample (wt%).
CompositionCSiMnPSCrAlCuNiTiNFe
Amount0.0160.00330.010.00530.00170.01070.0030.00370.00380.0010.002Bal.
Table 2. Chemical contents of O, N, and Zr in the steel sample after Zr addition.
Table 2. Chemical contents of O, N, and Zr in the steel sample after Zr addition.
Zr AdditionHolding Time/s[O]/ppm[N]/ppm[Zr]/ppm
1252124
100 ppm120892831
1063422
Table 3. Data related to the calculation of the critical nucleation size and nucleation rate of oxide inclusions.
Table 3. Data related to the calculation of the critical nucleation size and nucleation rate of oxide inclusions.
InclusionΘ (deg)γSV (J/m2)VO (m3/mol)logKeq
ZrO2111 [27]1.395 [27]10.5× 10−6−57,000/T + 21.8 [28]
Table 4. Interaction coefficients of O and Zr at 1873 K [26].
Table 4. Interaction coefficients of O and Zr at 1873 K [26].
e i j ZrO
O−23−0.17
Zr0.032−4
Table 5. Structures, average bond lengths, sizes, and average binding energies of (ZrO2)n (n = 1–6) clusters.
Table 5. Structures, average bond lengths, sizes, and average binding energies of (ZrO2)n (n = 1–6) clusters.
ClustersBond Length(Zr-O) (nm) Size   ( D m a x )   nm E b i n
eV
Materials 15 07960 i001
(ZrO2)1
0.1890.38−5.55
Materials 15 07960 i002
(ZrO2)2
0.1920.48−7.05
Materials 15 07960 i003
(ZrO2)3
0.2040.60−7.38
Materials 15 07960 i004
(ZrO2)4
0.200.66−7.52
Materials 15 07960 i005
(ZrO2)5
0.2060.70−7.68
Materials 15 07960 i006
(ZrO2)6
0.2030.93−7.75
Table 6. LUMO–HUMO energy gaps of the (ZrO2)n (n = 1–6) clusters.
Table 6. LUMO–HUMO energy gaps of the (ZrO2)n (n = 1–6) clusters.
Clusters(ZrO2)1(ZrO2)2(ZrO2)3(ZrO2)4(ZrO2)5(ZrO2)6
LUMO−0.15927−0.12413−0.15856−0.15835−0.11532−0.13762
HOMO−0.18301−0.2138−0.21179−0.19151−0.20248−0.22429
LUMO-HUMO0.0237420.0896650.053230.0331580.0871530.086679
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Li, Y.; Wang, L.; Chen, C.; Yang, S.; Li, X. New Insights into the Mechanism of Nucleation of ZrO2 Inclusions at High Temperature. Materials 2022, 15, 7960. https://doi.org/10.3390/ma15227960

AMA Style

Li Y, Wang L, Chen C, Yang S, Li X. New Insights into the Mechanism of Nucleation of ZrO2 Inclusions at High Temperature. Materials. 2022; 15(22):7960. https://doi.org/10.3390/ma15227960

Chicago/Turabian Style

Li, Yutang, Linzhu Wang, Chaoyi Chen, Shufeng Yang, and Xiang Li. 2022. "New Insights into the Mechanism of Nucleation of ZrO2 Inclusions at High Temperature" Materials 15, no. 22: 7960. https://doi.org/10.3390/ma15227960

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop