Keywords

Introduction

Nickel sulfide ores and nickel laterite ores are the two main resources for extracting nickel metal. In recent years, there has been an increased focus on the utilization of low-grade nickel laterite ore, along with a growing demand for stainless steel and a declining supply of sulfide ores. Therefore, in the long term, it will be necessary to optimise nickel extraction from nickel laterite ore [1,2,3,4,5].

Several investigations of nickel laterite ore reduction have been performed. For example, Jankovic et al. studied reduction kinetics of nickel oxide with hydrogen under non-isothermal conditions, the activation energies were 96.4 kJ/mol, then the most probable mechanism function was determined to be \( f(\alpha ) = \alpha^{0.63} (1 - \alpha )^{1.39} \) [6, 7]. Jungah et al. studied reduction kinetics of nanocrystalline Fe2O3–NiO by solid carbon and the results showed that reduction rate improved constantly with increasing temperature, the reduction rate was controlled by Boudouard reaction [8].

Since the previous study mainly confined to reduction of pure nickel oxide, there is a few study on reduction of nickel laterite ores and rarely used carbon as reducing agent. In this paper, solid-state reduction of nickel laterite was determined, the activation energies were calculated and the most probable mechanism function was determined by the Malek method.

Thermal Analysis Kinetics Theory

The activation energies were calculated usually by integral and differential methods. FWO method is the most commonly used integral method, besides, Starink method and KAS method are the most commonly used differential methods. The equation of FWO method is derived as

$$ \lg \beta = \lg \left( {\frac{AE}{RG(\alpha )}} \right) - {2.315} - {0.4567}\frac{E}{RT} $$
(1)

The equation of Starink method is derived as

$$ \ln \left( {\frac{\beta }{{T^{{{1.8}}} }}} \right) = {\text{constant}} - 1.00{37}\frac{E}{RT} $$
(2)

The equation of KAS method is derived as

$$ \ln \left( {\frac{\beta }{{T^{2} }}} \right) = \ln \frac{AR}{E} - \frac{E}{RT} $$
(3)

The most probable mechanism function was determined by the Malek method, and the Malek method is used to determine \( f{(}\alpha {)} \) by \( y{(}\alpha {)} \) which is defined.

$$ y{(}\alpha {)} = \left( {\frac{T}{{T_{0.5} }}} \right)^{2} \frac{{\left( {\frac{{{\text{d}}\alpha }}{{{\text{d}}t}}} \right)}}{{\left( {\frac{{{\text{d}}\alpha }}{{{\text{d}}t}}} \right)_{0.5} }} = \frac{{f{(}\alpha {)}\,{.}\,G{(}\alpha {)}}}{{f{(}0.5{)}\,{.}\,G({0.5)}}} $$
(4)

In this paper, the most probable mechanism function was derived by the standard curve of \( y(\alpha ) - \alpha \) . When the experimental curve and the standard curve coincide, the corresponding equation \( f(\alpha ) \) of the standard curve is the most probable mechanism function.

Experimental

The purity of carbon powder used in this experiment was 99.99% and the particle size was in 200–300 mesh.

Nickel laterite ore contains a large amount of water, with a moisture content on a dry basis of up to 50%, in the form of adsorbed and crystallised water [9]. The XRD experiments were carried out using D/max-3C (Co Kα) under the scanning rate of 4° min−1. The XRD patterns shown in Fig. 1 reveals that the nickel laterite ores are typical saprolitic ore, containing dominant amounts of Mg silicate and Mg–Fe silicate minerals, and in nickel laterite ores ores, Ni occurs mainly in Mg silicates [10]. The XRD patterns shown in Fig. 2 reveals that the adsorbed and crystallised water mainly in CaAl2Si2O8(H2O)4 and hydroxyl groups mainly in (Mg, Al)3(Si, Fe)2O5(OH)4 and Mg3Si2O5(OH)4. Drying was performed at 1100 °C in a corundum crucible within a muffle furnace for 2 h. Dried nickel laterite ores were ground to a 200 mesh-size using a laboratory-scale ball mill to mix with pure carbon powder to be homogeneous by a ratio of 1–1.2 used for TG and DTG analysis.

Fig. 1
figure 1

X-ray diffraction pattern of nickel laterite

Fig. 2
figure 2

X-ray diffraction pattern of nickel laterite at 1100 °C

The chemical composition of nickel laterite ore was analysed by AAS method which is shown in Table 1.

Table 1 Chemical composition of nickel laterite /(wt%)

The reduction behavior of the prepared samples was investigated using two different techniques, tg technique to measure the total weight loss of carbon and oxygen as a function of time and effluent gas analysis method for the outlet gases. The TG analysis was carried out using SetsysEvoTG-DTA1750 with three kinds of heating rate of 10 K/min, 15 K/min, 20 K/min under Ar atmosphere at a constant rate of 20 mL min−1. The concentration of CO and CO2 in the outlet gas were carried out using advanced quadrupole mass spectrometer (TILON LC-D200, AMETEK LLC., USA). Pure argon gas was passed over the compact at a constant rate of 20 mL min−1. The degree of reduction and total weight loss of carbon and oxygen were calculated by the oxygen and carbon balance based on the CO and CO2 concentrations obtained from gas analysis.

Results and Discussion

TG Analysis

TG was used to determine the thermal properties of nickel laterite ore, as shown in Fig. 3. It can be observed that weight loss is greatly affected by reduction temperature. Increasing reduction temperature from 700 to 1400 °C causes the increase of the mass loss. In the initial stages of reduction, weight loss rate is slow, then the rate speeds up gradually and reach the maximum at about 1232 °C which can seen clearly from DTG curves in Fig. 4, until 1400 °C, the process of reduction comes to an end, the weight of nickel laterite no longer changes. Besides, the heating speed has little influence on the weight loss ratio of nickel laterite ores.

Fig. 3
figure 3

TG curves of nickel laterite ore-carbon mixture at three heating rates

Fig. 4
figure 4

Conversion fraction and DTG-temperature curves of nickel laterite ore-carbon mixture

Activation Energy Results and Discussion

The reduction fraction (α) of reduction of nickel laterite is defined as

$$ \alpha = \frac{{m_{0} - m_{t} }}{{m_{0} - m_{\infty } }} \times 100\% $$
(5)

where, \( m_{0} \) is the initial mass of sample, \( m_{t} \) represents the mass of the sample at arbitrary time t, \( m_{\infty } \) is the mass of the sample at the end of the process. The reaction fraction and DTG curves as a function of reduction temperature are shown in Fig. 4, in which the solid lines express the DTG curves while the dotted lines express the reaction fraction curves, in which, the reduction degree has no significant change as the reduction temperature increased, besides, the reduction rate is the highest at early stages (α = 0.3).

The E values were determined by FWO method, Starink method and KAS method are shown in Fig. 5 and Table 2.

Fig. 5
figure 5

Relationship between conversion fraction and activation energies

Table 2 Calculated activation energies through different methods

The reduction process is divided into three parts according to the E values, besides, the temperature corresponding to the three parts is shown in Fig. 5. In the range of 0.10 ≤ α ≤ 0.40 and \( 0.70 \le \alpha \le 0.90, \) the activation energies are the constant value. Until for \( 0.40 \le \alpha \le 0.70 \), the E values have a great change, the values increased with increasing \( \alpha \) values.

The obtained activation energy is in good agreement with E values which were determined by Malek et al. [11] and Liao et al. [12], respectively. According to the research of Vyazovkin [13], if the activation energy is independent on \( \alpha \) values, the reaction is single-step reaction, however, the reaction is multi-step reaction if the activation energy varies with the change of \( \alpha \) values. From Fig. 5, in the wide range of 0.10 ≤ α ≤ 0.40 and \( 0.70 \le \alpha \le 0.90 \), the proof of existing of single-step reaction is evident, however, in the range of \( 0.40 \le \alpha \le 0.70 \) designated on the existence of parallel independent reaction.

In this study, the possible reactions are as follows,

$$ 2 {\text{Fe}}_{2} {\text{O}}_{3} + 3 {\text{C}} = 4 {\text{Fe}} + 3 {\text{CO}}_{2} $$
(6)
$$ 2 {\text{NiO}} + {\text{C}} = 2 {\text{Ni}} + {\text{CO}}_{2} $$
(7)
$$ {\text{CO}}_{2} + {\text{C}} = 2 {\text{CO}} $$
(8)
$$ {\text{Fe}}_{2} {\text{O}}_{3} + 3 {\text{CO}} = 2 {\text{Fe}} + 3 {\text{CO}}_{2} $$
(9)

It is reported that NiO was firstly reduced, and then the metallic Ni could use metallic Fe as the carriers to form Fe–Ni alloy to separate from the gangue minerals [14]. At the beginning of the reduction process, the nickel laterite powders and pure carbon powders are close to each other, the preferential reduction of nickel oxide to metallic nickel can occur as Eq. (7), and the reduction of iron oxide to metallic iron takes place as Eq. (6). Then, the reaction between iron oxides and carbon monoxide generated by Boudouard reaction takes place as Eq. (9).

It is well known that the reduction reactions of iron oxides proceed in a stepwise manner (Fe2O3-Fe3O4-FeO-Fe). To detect the reduction situation of iron oxides in nickel laterite, XRD were used to study the reduction product at 1000, 1250, 1300 and 1400 °C which is shown in Fig. 6.

Fig. 6
figure 6

X-ray diffraction pattern of nickel laterite ore-carbon mixture at 1000, 1250, 1300 and 1400 °C

In the range of 0.10 ≤ α ≤ 0.40, the reduction reaction has a low activation energy and a fast speed, and Fig. 6 shows that the reduction product of iron oxides is Fe3O4, this suggests that Fe2O3 is mainly reduced into Fe3O4 by carbon, the possible reaction is listed as follows,

$$ 3 {\text{Fe}}_{2} {\text{O}}_{3} + {1}/ 2 {\text{C}} = 2 {\text{Fe}}_{3} {\text{O}}_{4} + {1}/ 2 {\text{CO}}_{2} $$
(10)

In the unreacted-core shrinking model shown in Fig. 7a, the nickel laterite powders and pure carbon powders are close to each other in the initial stage, then the oxygen of Fe2O3 are removed to generate Fe3O4 particle and CO2.

Fig. 7
figure 7

Unreacted-core shrinking model for Fe2O3 reduction

The connection of the rate-controlling step of reduction rate to the activation energy of iron oxide was investigated by Nasr [15] (Table 3). In this stage, the E values are almost within 55–67 kJ/mol, hence, the rate-controlling step in this stage is performed as inner chemical reaction.

Table 3 Relationship of rate-controlling step and activation energy of iron oxide

In the range of 0.40 ≤ α ≤ 0.70, Fig. 6 shows that the reduction product of iron oxides are mostly FeO and a small part of Fe–Ni, this suggests that Fe3O4 is reduced into FeO and Fe–Ni, the possible reactions are listed as follows,

$$ {\text{Fe}}_{3} {\text{O}}_{4} + {\text{CO}} = 3 {\text{FeO}} + {\text{CO}}_{2} $$
(11)
$$ {\text{FeO}} + {\text{CO}} = {\text{Fe}} + {\text{CO}}_{2} $$
(12)

As Fig. 7b shows that CO diffuses across the FeO layer to reach the Fe3O4–FeO interphase layer, and CO reacts with Fe3O4 to generate CO2. In this stage, the E values have a great change, the E values increased with increasing \( \alpha \) values. In the initial stage (α = 0.4), the E values are almost 80 kJ/mol, hence, the rate-controlling step is performed as solid diffusion according to the study of Nasr [15].

In the range of 0.70 ≤ α ≤ 0.90, Fig. 6 shows that the reduction products of iron oxides are mostly Fe–Ni and a small part of FeO at 1300 °C and iron oxides are all reduced into Fe–Ni at 1400 °C, the possible reaction is given as follows,

$$ {\text{FeO}} + {\text{CO}} = {\text{Fe}} + {\text{CO}}_{2} $$
(12)

As Fig. 7c shows that CO diffuses across the Fe layer to reach the FeO–Fe interphase layer, and CO reacts with FeO to generate CO2.

In the range of 1100–1350 °C, the variation of CO and CO2 in the outlet gas is shown in Fig. 8. It can be observed that the rate of formation of CO2 is greater than that of CO particularly in the range of 0.50 ≤ α ≤ 0.90 and then slows down. It is reasonable to accept that Boudouard reaction is the major controlling step in this stage.

Fig. 8
figure 8

Variation of gas composition (CO and CO2) as a function of temperature

Model Function Results

Based on the Malek analysis, the standard curves were first obtained for the forty-one model functions. Figures 9, 10 and 11 show that the experimental data points are both almost have the same trend.

Fig. 9
figure 9

The standard y(α)-α curves and the actual y(α)-α curves of solid-state reduction in the range of 0.10 ≤ α ≤0.40

Fig. 10
figure 10

The standard y(α)-α curves and the actual y(α)-α curves of solid-state reduction in the range of 0.40 ≤ α ≤0.70

Fig. 11
figure 11

The standard y(α)-α curves and the actual y(α)-α curves of solid-state reduction in the range of 0.70 ≤ α ≤0.90

In the range of 0.10 ≤ α ≤ 0.40, the mechanism function is chemical reaction order function (No. 37) shown as follows:

$$ f(\alpha ) = (1 - \alpha )^{ - 1} - 1 $$
(13)
$$ G(\alpha ) = (1 - \alpha )^{2} $$
(14)

In the range of 0.40 ≤ α ≤ 0.70 and 0.70 ≤ α ≤ 0.90, the shapes of the experimental curves vary somewhat with the standard curves, this indicates that the mechanism of the process under investigation may not be exactly described by one mechanism function.

Conclusions

  1. (1)

    The weight loss ratio of nickel laterite ores is mainly related to the heating temperature; the heating speed has little influence.

  2. (2)

    In the range of 0.10 ≤ α ≤ 0.40, the average E values are 59.45 kJ/mol. In the range of 0.40 ≤ α ≤ 0.70, the average E values are 136.77 kJ/mol and in the range of 0.70 ≤ α ≤ 0.90, the average E values are 383.95 kJ/mol.

  3. (3)

    In the range of 0.10 ≤ α ≤ 0.40, solid-state reduction reaction of nickel oxide and iron oxide of Fe2O3 to Fe3O4 mainly happened. In the range of 0.40 ≤ α ≤ 0.70, gas-solid reduction reaction of Fe3O4 to FeO and Boudouard reaction mainly happened. In the range of 0.70 ≤ α ≤ 0.90, the reduction reaction of FeO to Fe and Boudouard reaction mainly happened.

  4. (4)

    In the range of 0.10 ≤ α ≤ 0.40, the experimental data points are both targeting the chemical reaction order function. In the range of 0.40 ≤ α ≤ 0.70 and 0.70 ≤ α ≤ 0.90, the results showed that the process may not be exactly described by one mechanism function.