Coal Cleaning Operations: The Question of Near Gravity Material

Bhattacharya, Sumantra; Maheshwari, Abhishek; Panda, Manishankar

doi:10.1007/s12666-015-0737-z

Cited by 6 publications

(7 citation statements)

References 6 publications

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“…[near gravity material] are well within the prescribed range for all the three equipment [Bhattacharya et al, 2016]. Ep values recommended by Australian Coal Preparation Society (Table 5) are justified by Fig.…”

Section: Contradicting Performance Results For Ep and Eorgsupporting

confidence: 65%

“… Organic Efficiency, Eorg, defined as the ratio of the actual yield at the plant to the washability yield at the same ash, expressed in percentage. For an ideal separation, Eorg = 100% [Bhattacharya et al, 2016] In a Dense Media (DM) separator, there is a difference, known as "offset" between the medium relative density (RD)…”

Section: Figure 1 Typical Partition Curvementioning

confidence: 99%

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Performance Analysis of Coal Cleaning Operations: Relationship Between Probable Error in Separation and Organic Efficiency Performance Analysis of Coal Cleaning Operations: Relationship Between Probable Error in Separation and Organic Efficiency

Paul¹,

Bhattacharya²

2021

Preprint

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Separation efficiency of coal cleaning equipment is typically assessed by Probable Error in Separation (Ep) and Organic Efficiency (Eorg). The first one is determined on the basis of precise cut point density of separation and implies that for ideal separation the error is zero. The second one is calculated on the basis of yield of clean coal/ middling at the target ash and implies that for ideal separation the efficiency is 100%. Plant operators worldwide being accountable for the tonnage of the clean coal and middling produced regularly monitor Eorg with some application in plant design in India. Ep is universally used as an equipment selection criterion from among the vendors, in commercial contracts and sometimes for performance analysis of coal cleaning equipment carried out at the plants. Since both are performance measures there should possibly be a relationship between the two for specific cleaning equipment or for a particular type of density separators. Such relationships are however rarely observed. Moreover there are many instances where high to very high Eorg does not translate into low to very low Ep. Therefore, is there a dichotomy between the two performance measures?

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Section: Contradicting Performance Results For Ep and Eorgsupporting

confidence: 65%

Section: Figure 1 Typical Partition Curvementioning

confidence: 99%

Performance Analysis of Coal Cleaning Operations: Relationship Between Probable Error in Separation and Organic Efficiency Performance Analysis of Coal Cleaning Operations: Relationship Between Probable Error in Separation and Organic Efficiency

Paul¹,

Bhattacharya²

2021

Preprint

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“…System controls (i.e., smart sensor [ 130 ], model-data-based switching adaptive control [ 139 ], pump-storage system [ 140 ], medium density control [ 141 ], dual-loop control system [ 142 ], and intelligent control [ 143 ]) were also applied to measure and optimize separation. In addition, DMC has been evaluated for the reprocessing of coal tailings [ 144 ], including the effects of near gravity materials (NGM)—the percentage of material occurring within the range of ±0.1 cut density (CD)—on coal cleaning [ 145 ].…”

Section: Conventional Gravity Separation For Coal Cleaningmentioning

confidence: 99%

Conventional and recent advances in gravity separation technologies for coal cleaning: A systematic and critical review

Phengsaart¹,

Srichonphaisan²,

Kertbundit³

et al. 2023

Heliyon

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“…The minerals are finely disseminated within the macerals and are indicative of syngenetic origins (Figure 3F-L). Syngenetic minerals are difficult to liberate by physical beneficiation due to their intimate association with the macerals (Bhattacharya, Maheshwari, and Panda, 2016;Subba-Rao and Gouricharan, 2016).…”

Section: Petrographic Characterizationmentioning

confidence: 99%

Petrographic and geochemical characteristics of beneficiated metallurgical coal from the No. 6 Seam, Tshipise sub-basin, Soutpansberg coalfield, South Africa

Sebola

Drennan

Wagner

2022

J. S. Afr. Inst. Min. Metall.

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The Soutpansberg Coalfield hosts South Africa's hard coking coal reserves. However, coals in this region are understudied compared to other coalfields in the country. This study characterizes the properties of fine-float fraction samples extracted from a wide diameter borehole core in the Makhado Project, Tshipise sub-basin, Soutpansberg coalfield. Conventional analyses were used to determine the coal quality, petrographic composition, mineralogy, geochemistry (including trace element and rare earth element composition), and free swelling index of samples from six coal horizons and three partings from the economic No.6 Seam. The coal samples are classified as medium rank bituminous C coals (0.88 %RoVmr, 0.92 %Rmax) and are highly vitrinitic in composition (97 vol% mineral matter free (mmf)). The samples show strong caking potential (FSI of 9). The total rare earth concentrations range between 570 and 3193 ppm in the ash samples. Preliminary analysis show all but two samples are promising sources of rare earth elements as the total concentrations exceeded the 1000 ppm cut-off grade. Further research is required to confirm these preliminary findings.

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Coal Cleaning Operations: The Question of Near Gravity Material

Cited by 6 publications

References 6 publications

Performance Analysis of Coal Cleaning Operations: Relationship Between Probable Error in Separation and Organic Efficiency Performance Analysis of Coal Cleaning Operations: Relationship Between Probable Error in Separation and Organic Efficiency

Performance Analysis of Coal Cleaning Operations: Relationship Between Probable Error in Separation and Organic Efficiency Performance Analysis of Coal Cleaning Operations: Relationship Between Probable Error in Separation and Organic Efficiency

Conventional and recent advances in gravity separation technologies for coal cleaning: A systematic and critical review

Petrographic and geochemical characteristics of beneficiated metallurgical coal from the No. 6 Seam, Tshipise sub-basin, Soutpansberg coalfield, South Africa

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