1 Introduction

During decades, tons of valuable coal particles are accumulated at tailing dams of washing plants due to different problems which were associated by old technologies and complexity of coal processing. On the other hands, demanding growth for high quality coal products from various industries (power plants, cement, paper production and sponge iron units) and decreasing the number of high grade raw coal deposits (Chehreh Chelgani et al. 2011a, b; Royaei et al. 2012; Chehreh Chelgani and Makaremi 2013; Dey et al. 2015; Matin and Chehreh Chelgani 2016) have been complicated coal beneficiation methods and subjected enormous volume of coal particles to wastes (tailing dams). Coal wastes typically can be used in different industries such as building and road making; however, these applications are limited and a huge amount of coal particles are accumulated as dump sand pulps in the tailing dams. These dams can be a source of several environmental and economic problems (Leonhard and Schieder 1990; Valcarce and Canibano 1991; Alonso et al. 1999; Dong et al. 2008).

Various investigations have been explored hazardous issues and environmental impacts of coal tailing piles on air, soil and ground water (Meck et al. 2006; Battioui 2013; Kotsiopoulos and Harrison 2017). They were reported that in some cases acid mine drainage (AMD) of coal tailing dams had a high rate of sulfates, nitrates, chlorides and heavy metals which were above the average that specified by the World Organization of Health (WHO) (Battioui 2013). These AMDs can make serious harmful effects on groundwater quality, river flows and ecology of around their deposits (Sengupta 1993; Simate and Ndlovu 2014; Kefeni et al. 2017; Peiravi et al. 2017). Moreover, cone-shaped damps of coal tailing can potentially be a source of self-ignition and possible explosion (Siboni et al. 2004; Adiansyah et al. 2017).

Recovery of coal particles from tailing dams by using various processing techniques is a potential method to overcome these problems. Preparation of coal in washing plants employs number of circuits (in parallel) for cleaning operation and each circuit is designed to optimally process a specific size range of coal particles (Cierpisz 2017). Thus, the implementation for recovery of coal particles from tailing dams has to depend on methods which used for coal washing and the size distribution of particles (Bu et al. 2017). The dissemination of fine ash-forming minerals in the coal structure has a critical challenge in recovery of coal particles from tailing dams. Finding appropriate methods to decrease ash content of coal tailing is essential for upgrading quality of products. Gravity (jigging, tabling or spiral) and flotation separation are typical beneficiation techniques that can be used to recover coal particles (Dey et al. 2013; Taha et al. 2017; Chehreh Chelgani et al. 2018). It was well understood that coal’s organic and inorganic (ash) parts have different floatability rate for example hydrophobicity of macerals can decrease in the following order examined Eastern Kentucky coal and arranged the macerals according to decreasing of floatability in order of pseudovitrinite (high Rmax) > pseudovitrinite (low Rmax) > vitrinite (high Rmax) > vitrinite (low Rmax) = micrinite = exinite = semifusinite > resinite > fusinite (Jorjani et al. 2009; Lin et al. 2017).

Furthermore, the liberation size of particles and a significant difference between the specific gravity (S.G) of coal and their ash minerals are keys for the gravity separation which generally is an environmentally friendly method (Mitchell et al. 1997). However low efficiency of gravity methods can increase the number of separation stages and lead enormous tailing that consists of unrecovered material (Zhao et al. 2013). Coal beneficiation by froth flotation is a well-established processing method to recover fine particles (mainly below 700 µm) (Dey and Bhattacharyya 2007; Dickinson et al. 2015; Jaiswal et al. 2015; Wang et al. 2017). The oil-based reagents are typical collectors to cover oxidized surfaces of coal particles and improve their float-abilities (Polat et al. 1999; Harris and Fuerstenau 2000; Jena et al. 2008; Han et al. 2014; Wen et al. 2017).

Since 2009, Iron productions have shown a considerable growth in Iran which increased the importance of coal reserves in this country. One of the main coal washing plants in the north of Iran that produces coking coal is Anjir–Tangeh (coke as a fuel plays critical characters for the steel-making industry, and approximately there is no substitution for it). In this plant, flotation and jigging are the main processing methods for upgrading coal products. The desired coal feed with 30% ash content is washing by rock sorting and beneficiated by jig and flotation in a continuous circle, and the waste materials are accumulated in tailing dam. This investigation based on the plant circuit is going to examine various processing methods to recovery value coal particles from high ash content waste materials, subject them for steel making industries and decrease environmental problems for area around Anjir–Tangeh plant. For these purposes, different gravity and flotation separation tests were used to recover various coal particle sizes from the tailing dam. Results of this study can potentially scale up and use for the optimized manufacturing beneficiation to upgrade coal particles from the tailing dam of Anjir–Tangeh plant and reduce environmental problems of that area.

2 Materials and methods

2.1 Sample preparation

One ton representative sample was obtained from tailing dam of Anjir–Tangeh (Zirab) coal washing plant. Samples crushed, screened, blended, homogenized and prepared for characterization studies; ash content analysis, specific gravity, X-ray diffraction (XRD) and processing experiments. Table 1 shows the sample size distribution and ash content at different size fractions. The ash content was determined based on ASTM D 3174 and it was 56.29% in the average for the feed from the tailing dam. The XRD analysis was carried out by a Bruker (Advance D8) X-ray diffract meter. XRD results (Fig. 1) indicated that the coal tailing particles are mainly associated with halloysite as a clay mineral and quartz. The measured specific gravity and bulk density of samples were 1.91 and 1 g/cm3, respectively.

Table 1 Particle size analysis of samples from the tailing dam
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Fig. 1
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X-ray diffraction pattern of sample

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2.2 Experimental methods and procedures

Representative samples were subjected for processing by gravity and flotation separation. For gravity separation, jig, shaking table and spiral were examined. For jig two important process parameters are pulsation frequency and upward water flow. Jigging was performed for three different particle size ranges: − 15 + 10, − 10 + 5 and − 5 + 2 mm. The jig tests were carried out by a Denver (Batac type) laboratory scale with pulsation frequency of 90, 120 and 150 Hz and upward water flow of 8 and 10 L/min. Jig tests were performed under following conditions: pulsation amplitude of 4 mm and feed rate of 2.5 kg/min.

For shaking table, three main variables are feed water flow rate, wash water flow rate and deck tilt angle. The process was explored in a Denver (Wilfley type) laboratory-scale in three particle size ranges of − 5 + 2, − 2 + 0.150, and − 1 + 0.150 mm (Table 2). Shaking table test was performed under following conditions: shake amplitude 5 mm, shake frequency 180 cycle/min, longitudinal slope 3 degree and feed rate 200 g/min. Humphrey spiral tests were carried out by Downer EDi—Mineral Technologies (LD7RC model) pilot-scale. Feed rate and pulp density as two most important parameters were examined to find the optimum upgrading points (particle size − 2 + 0.6 mm).

Table 2 Levels of important variables for various separation methods were used for the experimental design
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Flotation experiments were performed in a Denver D12 Sub-Aeration laboratory scale for particle size of − 0.600 mm. Gasoline and Kerosene (1500 and 3000 g/t) as typical coal collectors and MIBC and Pine oil (15 and 40 g/t) as frothers were used for flotation tests. Flotation conditions were: mixing time 1 min, conditioning time 2 min, skimming time 2 min and pH 7. For each flotation parameter, two different levels were selected (Table 2) and experiments were designed based on the most important variations. Pearson correlation (r) (Leonenko et al. 2013; Zhou et al. 2016) was used to assess interactions among various variables and explore their effects on recovery of coal particles. The variety r is a linear inter-correlation measurement between two variables which ranges from − 1 to + 1. The sign of the Pearson shows the direction of the interaction. Typically, − 0.6 < r < 0.6 shows that there is a strong interaction between two parameters (Chehreh Chelgani et al. 2011a, b, 2016a, b).

3 Results and discussion

3.1 Gravity tests

3.1.1 Jig tests

Fifteen jigging tests (Table 3) were designed based on selected effective variables (Table 2) to find the optimum points of each parameter. Inter-correlation assessment among variables with coal recovery indicated that the pulsation frequency had the highest effect on recovery and by increasing the pulsation, recovery was decreased (Fig. 2a). Results indicated that the highest recovery was provided when pulsation frequency was 90 Hz, upward water flow rate was 8 (L/min) and size fraction − 10 + 5. In general, jigging recovery was not significant (below 50%). This low recovery can be due to the coarse particle size of feed (above 2 mm). These results indicated although jigs were designed for the washing of coal in coarser size range, liberation degree (liberation between combustible parts of coal from ash) play a critical rule and jigging can be considered as a pretreatment method.

Table 3 Jigging tests and their representative results
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Fig. 2
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Pearson correlation assessment between various conditions and their representative

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3.1.2 Shaking table tests

Based on selected levels (Table 2) for effective variables (the transverse slope, feed water flow rate, size fraction and wash water flow rate) thirty six shaking table tests were designed (Table 4). Outputs indicated that there is a positive inter-correlation between size distribution and recovery (r ~ 0.16) (Fig. 2b). The highest size fraction (− 5 + 2 mm) showed the better performance in the shaking table tests could be explain by the fact that the device is not appropriately functional for the small size ranges. The results also showed that an increase in the deck tilt angle cause a decrease in concentrate grade and an increase in valuable particle recovery. On the other hand, water flow rate has a direct relation with concentrate grade. By increasing the water flow rate gangue materials crawl more along the table and transport to the tailing part and ash content will decrease (Meloy et al. 1994; Zhao et al. 2013).

Table 4 Shaking table tests and their representative results
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The highest recovery can observe when deck tilt angle was 12o, feed water flow rate and wash water flow rate were 12 (L/min) (Table 4). Therefore, the following points were selected as the optimal values: deck tilt angle 12o, feed water flow rate and wash water flow rate 12 (L/min) and size fraction − 5 + 2 mm.

3.1.3 Spiral tests

Two levels for effective parameters (pulp density and feed rate) and one center point with two times repeating (six runs) were performed for spiral tests (Table 5). Based on these results (Fig. 2c), both solid percentage and feed rate have positive relationship with recovery. The material velocity and centrifugal force in spiral will increase by increasing the feed rate and solid percentage which lead to an increase in coal particle recovery. These results could be due to the effect of particle size classification in the flowing films where spirals tend to have a high S.G cut point (1.7–2.1); therefore, misplace high amounts of high ash fines into the clean coal. The following values were selected as the optimal points: solid percentage 30% and feed rate 1.7 (t/h) which could recover over 70% of value materials.

Table 5 Spiral tests and their representative results
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3.2 Flotation tests

Based on considered levels for flotation variables (Table 2), sixteen different tests were designed. Inter-correlation results indicated that increasing the concentration of gasoline can decrease the recovery while there is a positive correlation between kerosene and recovery (Fig. 2d). Moreover, outputs illustrated that there is a positive relationship between recovery and concentration of frothers and increasing their concentrations could improve the recovery (Fig. 2d). Increasing the frother concentration causes to produce stable bubbles with lower diameter and more surface area. This phenomenon increases the froth transfer capacity and consequently raise the recovery (Azizi et al. 2014; Li et al. 2016).

Based on the experiment results (Table 6), the following values were provided the highest recovery: collector kerosene 3000 g/t, frother pine oil 40 g/t, solid percentage 10% and impeller speed 1000 rpm. A comparison between recoveries of gravity and flotation separation indicated that flotation could provide the highest recovery (90%) among other beneficiation methods (apart from size fractions) (Fig. 3). However, based on the gravity separation results it can be seen that froth flotation was inefficient in the rejection of pyrite and so a combination of gravity and flotation techniques can consider to increase ash removal and produce clean products.

Table 6 Flotation tests and their representative results
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Fig. 3
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A comparison among provided coal recoveries of various separation techniques

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3.3 Presented process flowsheet based on the test results

Performing of the above tests to find the optimum condition is essential to determine the arrangement of equipment in a circle (flowsheet). Based on the above results, gravity methods (such as jig, shaking table and spiral) for coarse particles and flotation for fine particles can consider for increasing the cumulative recovery. Figure 4 presents the appropriate flowsheet for recovery of coal particles from Anjir–Tangeh (Zirab) coal tailing dam. In this circuit, the tailing at first coal subjected to the double deck vibrating screen with mesh size of − 15 + 5 mm. The screen oversize (+15 mm) would be returned to the crushing unit for size reduction. The particles with size of − 15 + 5 mm feed to the jig machine. The particles with size of − 5 + 2 mm would transfer to the shaking table to be enriched. In this case, the obtained middle product that has high ash content will be considered as waste materials. The spiral method was used for particles size of − 2 + 0.6 mm. Furthermore, the spiral middle product would consider as waste materials (because they have high ash content). Finally fine coal particles with size distribution of − 0.6 mm will be processed by flotation machines. Testing the designed flowsheet indicated that the ash content for jig, shaking table and spiral concentrate were 14.5% (7.35 wt.%), 13.84% (2 wt.%) and 13.97% (7.53 wt.%). The flotation concentrate, after one stage rougher and two stages cleaners, had ash content of 14.22% (4.7 wt.%). Therefore, the final concentrate could have cumulative ash content of 14.19% (21.58 wt.%). In other words, the process can recover over 90% of value coal particles and reduce ash content to less than 14%.

Fig. 4
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The appropriate flowsheet for recovery of coal particles from coal tailing dam

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4 Conclusions

A huge amount of coal particles in the tailing dams (accumulated as dump sand pulps) can be a source of several environmental problems. In this investigation different gravity (jigging, tabling and spiral) and flotation separation experiments were performed to recover coal particles from the tailing dam of Anjir–Tangeh plant, reduce environmental problems and used recovered particles in steel making industries. Various experiments indicated that optimum conditions to recover coal by different methods are: Jigging; pulsation frequency was 90 Hz, upward water flow rate was 8 (L/min) and size fraction − 10 + 5, tabling: deck tilt angle 12°, feed water flow rate and wash water flow rate 12 (L/min) and size fraction − 5 + 2 mm, spiral: solid percentage 30% and feed rate 1.7 (t/h) and flotation: collector kerosene 3000 g/t, frother pine oil 40 g/t, solid percentage 10% and impeller speed 1000 rpm. Based on the optimum conditions, a flowsheet was designed. The results of running the flowsheet indicated that the circuit can recover over 90% of value coal particles and reduce ash content to less than 14%. These results can potentially be used for the scale up and design a recycling plant.