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Kinetics of iron removal from quartz under ultrasound-assisted leaching

  • Chang-Qiao Yang EMAIL logo and Su-Qin Li EMAIL logo
Published/Copyright: September 7, 2020

Abstract

Kinetics of iron removal from quartz under the ultrasound-assisted leaching was explored in this paper, and the effects of temperature, leaching time, stirring speed and ultrasonic input power on iron removal were studied. The results revealed that the reaction kinetics followed the shrinking core model and the product layer internal diffusion was the rate-determining step in the ultrasound-assisted leaching process. The activation energy of the ultrasonic-assisted leaching reaction was 27.72 kJ/mol, which was 7.28 kJ/mol higher than that of the regular method. Moreover, the kinetic equation and mathematical model of iron removal from quartz were established. Compared with the regular leaching, only 40 min were required for the ultrasound-assisted leaching process to achieve an iron removal rate of up to 74%. Under the optimal parameters, SiO2 content of concentrate increased from 99.5828% to 99.9047%, and Fe2O3 content reduced from 0.0857% to 0.0223%. Additionally, it was found that the iron removal rate increased with increasing temperature, stirring speed or ultrasonic power.

1 Introduction

Highly pure quartz is an important nonmetallic high-tech raw material. It is extensively used in manufacturing solar cells, microelectronics components, optical fibers, refractories and high-quality ceramics as well as in other industries [1,2,3]. Iron oxides in quartz are detrimental impurities, and they can lead to an unacceptable coloring of the final products [4]. In general, it is very difficult to remove the iron impurities embedded in quartz particles, attached to quartz surface or wrapped in gas–liquid inclusions [5]. Various physical, physicochemical or chemical methods have been developed to realize the efficient removal of iron from quartz [6,7,8]. Among these, chemical processing is considered as the most effective iron removal technique. However, chemical methods are usually expensive and have adverse effects on the environmental safety. In view of these limitations, more environmentally benign reagents or methods should be developed to promote the extensive application of these chemical methods.

In recent years, weak organic acids (such as oxalic acid H2C2O4, citric acid C6H8O7 and ascorbic acid C6H8O6) have been widely used as the substitutes of inorganic acids in the treatment of iron impurities. Tuncuk and Akcil [9] summarized the acid leaching efficiency of various reagents (including inorganic and organic acids) and considered H2C2O4 as the most promising leaching reagent because of its good complexing characteristic and high reducing power. Meanwhile, H2C2O4 is less harmful to the environment compared to hydrofluoric acid and can be obtained cheaply as a by-product from other industrial processes. In addition to the improvement in terms of leaching reagents, some advances have also been made in the process design. For example, Du et al. [10] investigated the effects of ultrasound on leaching efficiency and found that ultrasonic-assisted acid leaching could significantly increase the iron removal rate. The results of their study showed that the maximum iron removal rate under the ultrasound-assisted acid leaching was 75.4%, which increased by 16.3% in comparison with that without ultrasound. Moreover, it was found that the iron oxides on the surface of quartz particles could be eliminated more efficiently by ultrasound than by mechanical scrubbing [11]. Overall, ultrasound treatment can improve the iron removal kinetics [12,13], but the kinetics of iron removal in the leaching process has not been presented by these authors.

Cornell and Schindler [14] studied the kinetics of photochemical dissolution of goethite in H2C2O4 solution and suggested that both protons and oxalate ions participated in the dissolution reaction. Liu et al. [15] investigated the leaching kinetics of Chinese laterite containing maghemite and magnetite in sulfuric acid (H2SO4) solution, and their results showed that temperature, acid concentration and particle size had significant effects on the leaching efficiency. The leaching kinetics followed the shrinking core model; and the rate-determining step changed from surface chemical reaction in the early and middle stages to internal diffusion in the later stage.

Taxiarchou et al. [16] studied the dissolution kinetics of hematite in H2C2O4 solution and found that the dissolution process was much faster in an inert atmosphere. Their results showed that iron dissolution was highly dependent on temperature and pH value of the mother liqueur but not affected by H2C2O4 concentration. Lee et al. [17,18] investigated the kinetics of iron oxide leaching by H2C2O4 and found that the dissolution of hematite and magnetite at pH of 2.5–3.0 followed the shrinking core model controlled by the product layer diffusion. The dissolution reaction was very slow in the temperature range of 25–60°C, but its rate increased rapidly above 90°C. Besides, they also reported that the reaction rate increased with increasing H2C2O4 concentration, which was inconsistent with Taxiarchou’s results. Olvera-Venegas et al. [19] studied the effects of temperature and acid concentration on the dissolution of ilmenite, greigite, and magnetite. The authors found that the temperature had the most significant effect on the iron dissolution, while C6H8O7 concentration moderately affected the dissolution process. The kinetics of iron dissolution could be described by the shrinking core model, and the chemical reaction was determined as the controlling step.

Salmimies et al. [20] studied the kinetics of magnetite dissolution in mixtures of H2C2O4 and H2SO4 considered the Kabai model as the most appropriate for describing the dissolution kinetics. The reaction rate constant k at 35°C was found to vary between 4.1 × 10−5 s−1 and 5.6 × 10−4 s−1 for different acid concentrations, and the kinetics could be significantly improved by increasing H2C2O4 concentration from 50 to 70%.

Some scholars believed [21,22,23,24] that the iron extraction kinetics followed the shrinking core model in acid solutions. However, there are still controversies about the effects of temperature, acid concentration and other parameters on the leaching efficiency. In addition, the rate-determining step is also not determined yet. To the best of our knowledge, few published reports are available about the iron dissolution kinetics under the ultrasound-assisted leaching.

In this study, the removal of iron oxides in mixtures of H2C2O4 and HCl is investigated to determine the effects of various parameters such as temperature, stirring speed, leaching time and ultrasonic input power on the iron removal efficiency. Additionally, the rate-determining step is discussed based on the shrinking core model under the ultrasound-assisted leaching or without the ultrasound. On this basis, a mathematical model is developed to provide the potential optimum conditions for iron removal.

2 Materials and methods

2.1 Raw materials, instrumentation and reagents

The quartz samples in this investigation were purchased from Lianyungang Xinhai Quartz Products Co., Ltd located in Lianyungang City of Jiangsu Province, China. The complete chemical compositions of the samples were determined by X-ray fluorescence (XRF; Axios mAX, the Netherlands PANalytical) and the results are presented in Table 1.

Table 1

The chemical composition of original samples by XRF (%)a

ComponentsSiO2Al2O3Fe2O3CaONa2OK2OMgO
Amount99.58280.11580.08570.04220.03870.03550.0327
  1. a

    The oxides of less than 0.03% are not shown.

In order to know the mineralogy of the samples, X-ray diffraction (XRD; D/max 2550PC, Japan Rigaku Co., Ltd, with Cu-Kα radiation between 10° and 90°) was used, and the XRD pattern is shown in Figure 1. As can be seen, the samples show a very high percentage of quartz and a very small amount of iron oxides, implying the purity of these quartz samples is very high. The result is in good agreement with the XRF result.

Figure 1 The X-ray diffractogram of quartz samples.
Figure 1

The X-ray diffractogram of quartz samples.

Iron content of the quartz was examined by ICP-OES (Varian 715-ES, USA). The particle size and size distribution of the samples were determined by laser light scattering method (Mastersizer 2000, Malvern, UK).

All the used chemical reagents were analytically pure and were produced by Sinopharm Group Chemical Reagent Co., Ltd., China. Deionized water (laboratory production) was used throughout this study.

2.2 Experimental

2.2.1 Regular acid leaching experiment

The leaching agent was prepared by dissolving known amounts of H2C2O4 and HCl in the deionized water. The prepared leaching agent was heated up to a desired temperature and 20 g dry quartz samples were immediately added into the hot liquid under continuous stirring. To prevent evaporation, the glass extraction vessel was closed throughout the leaching experiment. When the reaction was completed, the filtrate was drained and the residue was taken out. The residue was washed in the deionized water to achieve neutral pH. Then it was filtered onto the filter paper and dried for subsequent composition analysis.

2.2.2 Ultrasonic-assisted acid leaching experiment

The ultrasonic-assisted experiment was conducted according to the same procedure as described above. The only difference was that an ultrasound cell breaker probe was immersed into the liquid to be extracted in the glass extraction vessel. Different input powers and treatment times were examined. After the desired extraction time, the same washing procedure was implemented as presented in Section 2.2.1.

All experiments were carried out at least twice and the mean values were taken as the final results. Figure 2 shows the schematic diagram of the experimental setup.

Figure 2 Schematic diagram of the experimental setup.
Figure 2

Schematic diagram of the experimental setup.

2.3 Evaluation and characterization

The iron removal rate was calculated using the following equation:

(1)x=1θα×100%

where x is the iron removal rate, θ is the amount of iron in the leached solid sample and α is the amount of iron in ore sample.

3 Results and discussion

3.1 Kinetic analysis of iron leaching process

The shrinking core model is the most commonly used liquid–solid phase non-catalytic reaction model [25]. In the interface reaction model without solid products, the reaction occurs only at the interface of the liquid and solid phases, and the reaction surface shrinks continuously from the surface to the center of the solid particle. The whole reaction process involves the following five steps.

(2)aA(l)+bB(s)=cC(l)+dD(s)

Step 1: External diffusion process of the reaction. The liquid reactant A goes through the fluid body and passes through the fluid film outside the particle surface to the solid particle surface.

Step 2: Internal diffusion process of the reactant. The liquid reactant A goes through the solid product layer and then diffuses to the reaction interface.

Step 3: Interface chemical reaction process. The liquid reactant A and the solid reactant B react at the solid-phase interface.

Step 4: Internal diffusion process of the liquid product. The liquid product C diffuses to the outer surface of the particle through the solid product layer.

Step 5: External diffusion process of the liquid product. The liquid product C diffuses from the outer surface of the particle to the main fluid body through the stagnant membrane.

The acid leaching reaction of quartz sands belongs to liquid-solid phase reaction. The chemical reaction equations of iron impurities (expressed as Fe2O3) with HCl and H2C2O4 can be summarized as follows:

(3)Fe2O3+6H+2Fe3++3H2O
(4)Fe2O3+H++5HC2O42Fe(C2O4)22+3H2O+2CO2

The above reactions can be considered as liquid-solid phase noncatalytic reactions on the surface of the solid particle. The reaction products Fe3+ and Fe(C2O4)22 can be dissolved in the liquid and SiO2 is left.

Figure 3 shows the particle size distribution of the samples. The size of the initial quartz sands is between 150 and 350 μm, with an average value of 238.502 μm (Figure 3(a)). After acid leaching, the samples have an average particle size of 234.325 μm (Figure 3(b)), which is very similar to that of the initial samples. It can be found that the particle size is almost unchanged before and after the acid leaching process. Therefore, the shrinking unreacted core model can be used to describe these reaction processes, and in this case, only by the following three steps [26]:

Figure 3 Particle size distribution of (a) original samples, (b) leached solid samples (acid leaching conditions – H2C2O4{\text{H}}_{2}{\text{C}}_{2}{\text{O}}_{4} concentration: 10 g/L, HCl concentration: 5%, temperature: 60°C, L/S ratio: 5, time: 8 h, stirring speed: 500 rpm).
Figure 3

Particle size distribution of (a) original samples, (b) leached solid samples (acid leaching conditions – H2C2O4 concentration: 10 g/L, HCl concentration: 5%, temperature: 60°C, L/S ratio: 5, time: 8 h, stirring speed: 500 rpm).

Step 1: External diffusion. Since the reaction system is usually equipped with a stirring device in the acid leaching process, the external diffusion process can be ignored and will not be the rate-determining step.

Step 2: Chemical reaction. The kinetic equation can be expressed as:

(5)1(1x)1/2=kt

Step 3: Internal diffusion. The kinetic equation can be expressed as:

(6)123x(1-x)2/3=kt

where x is the iron removal rate ranging from 0 to 1 (%), k is the reaction rate constant (s−1) and t is time (s).

3.2 Determination of the rate-determining step

Figure 4(a) presents the influence of stirring speed on the iron removal efficiency. It can be seen that the iron removal rate increases with increasing stirring speed. Assuming the chemical reaction as the rate-determining step, the relationship between the iron removal rate x and reaction time t can be given as equation (5). According to Figure 4(b), there is no linear relationship between 1(1x)1/3 and t. Hence, it can be judged that chemical reaction is not the rate-determining step. Similarly, assuming internal diffusion as the rate-determining step, the relationship between x and t can be given as equation (6), and there is a linear relationship between 123x(1x)2/3 and t, as shown in Figure 4(c). The curves were fitted by software Origin 8.0 and R2 is greater than 0.92. This means that internal diffusion is the rate-determining step.

Figure 4 The relationship between (a) tt and xx, (b) tt and 1−(1−x)1/31-{(1-x)}^{1/3} (c) tt and 1−23x−(1−x)2/31-\frac{2}{3}x-{(1-x)}^{2/3} without ultrasonic-assisted leaching (acid leaching conditions – H2C2O4{\text{H}}_{2}{\text{C}}_{2}{\text{O}}_{4} concentration: 10 g/L, HCl concentration: 5%, L/S ratio: 5 and temperature: 60°C).
Figure 4

The relationship between (a) t and x, (b) t and 1(1x)1/3 (c) t and 123x(1x)2/3 without ultrasonic-assisted leaching (acid leaching conditions – H2C2O4 concentration: 10 g/L, HCl concentration: 5%, L/S ratio: 5 and temperature: 60°C).

Figure 5 shows the results of ultrasonic-assisted acid leaching. The curve characteristics are similar to those of conventional acid leaching. Ultrasound agitation intensity increases with increasing ultrasonic input power, which is conducive to improve the mass transfer diffusion process [27].

Figure 5 The relationship between (a) tt and xx, (b) tt and 1−(1−x)1/31-{(1-x)}^{1/3} (c) tt and 1−23x−(1−x)2/31-\tfrac{2}{3}x-{(1-x)}^{2/3} with ultrasonic-assisted leaching (acid leaching conditions – H2C2O4{\text{H}}_{2}{\text{C}}_{2}{\text{O}}_{4} concentration: 10 g/L, HCl concentration: 5%, L/S ratio: 5 and temperature: 60°C).
Figure 5

The relationship between (a) t and x, (b) t and 1(1x)1/3 (c) t and 123x(1x)2/3 with ultrasonic-assisted leaching (acid leaching conditions – H2C2O4 concentration: 10 g/L, HCl concentration: 5%, L/S ratio: 5 and temperature: 60°C).

Similarly, the iron removal rate x is substituted into Equations (5) and (6), respectively. The variations in 1(1x)1/3 and 123x(1x)2/3 with t are illustrated in Figure 5(b) and (c). As can be seen, each curve in Figure 5(c) shows a good linear relationship between 123x(1x)2/3 and t, and R2 is greater than 0.90. Obviously, the rate-determining step of the ultrasound-assisted leaching process is still the internal diffusion. The experimental data are basically in line with the shrinking core model.

3.3 Calculation of apparent activation energy and derivation of mathematical model

The relationship between the chemical reaction rate constant kd and temperature T can be explained by Arrhenius equation [28]:

(7)kd=AexpEaRT

where A is the pre-exponential factor, Ea is the apparent activation energy, R is the molar gas constant 8.314 J/(mol K) and T is the thermodynamic temperature.

The logarithm form of Equation (7) is given as

(8)lnkd=lnAEaR×1T

A clear linear relationship can be observed between lnkd and 1T. The slope of the line is recorded as k, and then the Ea is given as

(9)Ea=Rk

Figure 6(a) shows the effects of reaction temperature on the iron removal rate under the condition without ultrasound. It can be seen that the temperature rise can facilitate the leaching efficiency.

Figure 6 The relationship between (a) tt and xx, (b) tt and 1−23x−(1−x)2/31-\tfrac{2}{3}x-{(1-x)}^{2/3} and (c) 1T\tfrac{1}{T} and lnkd\mathrm{ln}\hspace{.25em}{k}_{\text{d}} (acid leaching conditions – H2C2O4{\text{H}}_{2}{\text{C}}_{2}{\text{O}}_{4} concentration: 10 g/L, HCl concentration: 5%, L/S ratio: 5 and stirring speed: 500 rpm).
Figure 6

The relationship between (a) t and x, (b) t and 123x(1x)2/3 and (c) 1T and lnkd (acid leaching conditions – H2C2O4 concentration: 10 g/L, HCl concentration: 5%, L/S ratio: 5 and stirring speed: 500 rpm).

The calculated results according to equation (5) are presented in Figure 6(b), and the Arrhenius plot is given in Figure 6(c). According to equation (9),

Ea=2458.72×8.314=20441.78J/mol,i.e.Ea=20.44kJ/mol.

Thus, the kinetic equation for explaining the effects of reaction temperature on iron removal can be derived as:

(10)lnkd=1.5862458.72×1T

or

(11)kd=exp1.5862458.72×1T

According to equations (6) and (11), a mathematical model for iron removal can be obtained:

(12)123x(1x)2/3=exp1.5862458.72×1T×t

Similarly, the effects of reaction temperature on the iron removal rate the under ultrasonic-assisted leaching were studied, and the results are shown in Figure 7(a). As can be seen, ultrasonic-assisted leaching induces a remarkable acceleration of the iron removal rate, which can be up to 74% in only 40 min. By contrast, the conventional stirring method takes more than 8 h to reach the maximum.

Figure 7 The relationship between (a) tt and xx, (b) tt and 1−23x−(1−x)2/31-\tfrac{2}{3}x-{(1-x)}^{2/3} and (c) 1T\tfrac{1}{T} and lnkd\mathrm{ln}\hspace{.25em}{k}_{\text{d}} (acid leaching conditions – H2C2O4{\text{H}}_{2}{\text{C}}_{2}{\text{O}}_{4} concentration: 10 g/L, HCl concentration: 5%, L/S ratio: 5 and ultrasonic input power: 500 W).
Figure 7

The relationship between (a) t and x, (b) t and 123x(1x)2/3 and (c) 1T and lnkd (acid leaching conditions – H2C2O4 concentration: 10 g/L, HCl concentration: 5%, L/S ratio: 5 and ultrasonic input power: 500 W).

The relationships between 123x(1x)2/3 and t and between lnkd and 1T are plotted in the same procedure as described above, and the results are shown in Figure 7(b) and (c), respectively. According to equation (9),

Ea=3333.56×8.314=27715.22J/mol,i.e.Ea=27.72kJ/mol.

It is well-known that the apparent activation energy of chemical reaction is usually in the range of 40–400 kJ/mol. In this study, the calculated activation energies under the conditions of regular leaching and ultrasonic-assisted leaching are both less than the lower limiting value. This further proves that the rate-determining step of the process is internal diffusion.

The kinetic equation for explaining the effects of reaction temperature on iron removal under the ultrasound-assisted leaching can be derived as:

(13)lnkd=3.6473333.56×1T

Thus, a mathematical model for iron removal under the ultrasound-assisted leaching can be derived as:

(14)123x(1x)2/3=exp3.6473333.56×1T×t

3.4 Calculation of apparent activation energy

High-purity quartz product was obtained under the optimal parameters, i.e., an oxalic acid concentration of 10 g/L, a hydrochloric acid concentration of 5%, an extraction temperature of 60°C, a liquid–solid ratio of 5, an ultrasound power of 400 W and an ultrasound treatment time of 30 min. The SiO2 content was increased from 99.5828% to 99.9047%, Fe2O3 content was reduced from 0.0857% to 0.0223% and a maximal iron removal rate of up to 74%. The chemical composition of the concentrates is shown in Table 2.

Table 2

The chemical composition of concentrate samples by XRF (%)

ComponentsSiO2Al2O3Fe2O3CaONa2OK2OMgO
Amount99.90470.08100.02230.01060.01940.01890.0213

4 Conclusions

The kinetics of iron removal from quartz under the ultrasound-assisted leaching had been investigated. The results showed that the iron removal efficiency increased with increasing temperature, stirring speed or ultrasonic input power. The leaching time could be greatly shortened under ultrasonic-assisted leaching compared with the regular stirring method, and the maximum iron removal rate of 74% was achieved in only 40 min. Under the optimal parameters, the SiO2 content of the concentrates increased from 99.5828% to 99.9047% and the Fe2O3 content reduced from 0.0857% to 0.0223%. The experimental data fitted well with the shrinking core model for the internal diffusion-controlled leaching process. The apparent activation energy of the reaction under the ultrasound-assisted leaching was Ea = 27.72 kJ/mol, and the mathematical model for iron removal can be derived as:

123x(1x)2/3=exp3.6473333.56×1T×t

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Received: 2019-12-12
Revised: 2020-07-13
Accepted: 2020-07-18
Published Online: 2020-09-07

© 2020 Chang-Qiao Yang and Su-Qin Li, published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  2. Electrochemical reduction mechanism of several oxides of refractory metals in FClNaKmelts
  3. Study on the Appropriate Production Parameters of a Gas-injection Blast Furnace
  4. Microstructure, phase composition and oxidation behavior of porous Ti-Si-Mo intermetallic compounds fabricated by reactive synthesis
  5. Significant Influence of Welding Heat Input on the Microstructural Characteristics and Mechanical Properties of the Simulated CGHAZ in High Nitrogen V-Alloyed Steel
  6. Preparation of WC-TiC-Ni3Al-CaF2 functionally graded self-lubricating tool material by microwave sintering and its cutting performance
  7. Research on Electromagnetic Sensitivity Properties of Sodium Chloride during Microwave Heating
  8. Effect of deformation temperature on mechanical properties and microstructure of TWIP steel for expansion tube
  9. Effect of Cooling Rate on Crystallization Behavior of CaO-SiO2-MgO-Cr2O3 Based Slag
  10. Effects of metallurgical factors on reticular crack formations in Nb-bearing pipeline steel
  11. Investigation on microstructure and its transformation mechanisms of B2O3-SiO2-Al2O3-CaO brazing flux system
  12. Energy Conservation and CO2 Abatement Potential of a Gas-injection Blast Furnace
  13. Experimental validation of the reaction mechanism models of dechlorination and [Zn] reclaiming in the roasting steelmaking zinc-rich dust process
  14. Effect of substituting fine rutile of the flux with nano TiO2 on the improvement of mass transfer efficiency and the reduction of welding fumes in the stainless steel SMAW electrode
  15. Microstructure evolution and mechanical properties of Hastelloy X alloy produced by Selective Laser Melting
  16. Study on the structure activity relationship of the crystal MOF-5 synthesis, thermal stability and N2 adsorption property
  17. Laser pressure welding of Al-Li alloy 2198: effect of welding parameters on fusion zone characteristics associated with mechanical properties
  18. Microstructural evolution during high-temperature tensile creep at 1,500°C of a MoSiBTiC alloy
  19. Effects of different deoxidization methods on high-temperature physical properties of high-strength low-alloy steels
  20. Solidification pathways and phase equilibria in the Mo–Ti–C ternary system
  21. Influence of normalizing and tempering temperatures on the creep properties of P92 steel
  22. Effect of temperature on matrix multicracking evolution of C/SiC fiber-reinforced ceramic-matrix composites
  23. Improving mechanical properties of ZK60 magnesium alloy by cryogenic treatment before hot extrusion
  24. Temperature-dependent proportional limit stress of SiC/SiC fiber-reinforced ceramic-matrix composites
  25. Effect of 2CaO·SiO2 particles addition on dephosphorization behavior
  26. Influence of processing parameters on slab stickers during continuous casting
  27. Influence of Al deoxidation on the formation of acicular ferrite in steel containing La
  28. The effects of β-Si3N4 on the formation and oxidation of β-SiAlON
  29. Sulphur and vanadium-induced high-temperature corrosion behaviour of different regions of SMAW weldment in ASTM SA 210 GrA1 boiler tube steel
  30. Structural evidence of complex formation in liquid Pb–Te alloys
  31. Microstructure evolution of roll core during the preparation of composite roll by electroslag remelting cladding technology
  32. Improvement of toughness and hardness in BR1500HS steel by ultrafine martensite
  33. Influence mechanism of pulse frequency on the corrosion resistance of Cu–Zn binary alloy
  34. An interpretation on the thermodynamic properties of liquid Pb–Te alloys
  35. Dynamic continuous cooling transformation, microstructure and mechanical properties of medium-carbon carbide-free bainitic steel
  36. Influence of electrode tip diameter on metallurgical and mechanical aspects of spot welded duplex stainless steel
  37. Effect of multi-pass deformation on microstructure evolution of spark plasma sintered TC4 titanium alloy
  38. Corrosion behaviors of 316 stainless steel and Inconel 625 alloy in chloride molten salts for solar energy storage
  39. Determination of chromium valence state in the CaO–SiO2–FeO–MgO–CrOx system by X-ray photoelectron spectroscopy
  40. Electric discharge method of synthesis of carbon and metal–carbon nanomaterials
  41. Effect of high-frequency electromagnetic field on microstructure of mold flux
  42. Effect of hydrothermal coupling on energy evolution, damage, and microscopic characteristics of sandstone
  43. Effect of radiative heat loss on thermal diffusivity evaluated using normalized logarithmic method in laser flash technique
  44. Kinetics of iron removal from quartz under ultrasound-assisted leaching
  45. Oxidizability characterization of slag system on the thermodynamic model of superalloy desulfurization
  46. Influence of polyvinyl alcohol–glutaraldehyde on properties of thermal insulation pipe from blast furnace slag fiber
  47. Evolution of nonmetallic inclusions in pipeline steel during LF and VD refining process
  48. Development and experimental research of a low-thermal asphalt material for grouting leakage blocking
  49. A downscaling cold model for solid flow behaviour in a top gas recycling-oxygen blast furnace
  50. Microstructure evolution of TC4 powder by spark plasma sintering after hot deformation
  51. The effect of M (M = Ce, Zr, Ce–Zr) on rolling microstructure and mechanical properties of FH40
  52. Phase evolution and oxidation characteristics of the Nd–Fe–B and Ce–Fe–B magnet scrap powder during the roasting process
  53. Assessment of impact mechanical behaviors of rock-like materials heated at 1,000°C
  54. Effects of solution and aging treatment parameters on the microstructure evolution of Ti–10V–2Fe–3Al alloy
  55. Effect of adding yttrium on precipitation behaviors of inclusions in E690 ultra high strength offshore platform steel
  56. Dephosphorization of hot metal using rare earth oxide-containing slags
  57. Kinetic analysis of CO2 gasification of biochar and anthracite based on integral isoconversional nonlinear method
  58. Optimization of heat treatment of glass-ceramics made from blast furnace slag
  59. Study on microstructure and mechanical properties of P92 steel after high-temperature long-term aging at 650°C
  60. Effects of rotational speed on the Al0.3CoCrCu0.3FeNi high-entropy alloy by friction stir welding
  61. The investigation on the middle period dephosphorization in 70t converter
  62. Effect of cerium on the initiation of pitting corrosion of 444-type heat-resistant ferritic stainless steel
  63. Effects of quenching and partitioning (Q&P) technology on microstructure and mechanical properties of VC particulate reinforced wear-resistant alloy
  64. Study on the erosion of Mo/ZrO2 alloys in glass melting process
  65. Effect of Nb addition on the solidification structure of Fe–Mn–C–Al twin-induced plasticity steel
  66. Damage accumulation and lifetime prediction of fiber-reinforced ceramic-matrix composites under thermomechanical fatigue loading
  67. Morphology evolution and quantitative analysis of β-MoO3 and α-MoO3
  68. Microstructure of metatitanic acid and its transformation to rutile titanium dioxide
  69. Numerical simulation of nickel-based alloys’ welding transient stress using various cooling techniques
  70. The local structure around Ge atoms in Ge-doped magnetite thin films
  71. Friction stir lap welding thin aluminum alloy sheets
  72. Review Article
  73. A review of end-point carbon prediction for BOF steelmaking process
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