Application of Statistical Process Control for Coal Particle Size

Denız, Vedat; Umucu, Yakup

doi:10.1080/15567036.2010.518219

Cited by 7 publications

(7 citation statements)

References 3 publications

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“…The calorific value is measured through discrete increments of energy pulses which cumulatively result into an overall gross calorific value (GCV, Mcal/ kg) therefore the (CV) integrates all the thermodynamic reactions occurring during the coal sample reduction-oxidation reactions (see Table 1) [44], [45], [46]. The proximate analysis information of coal samples are imperative features which associates the coal mass composition, potential energy dissipation during combustion and the grindability principals surrounding hardness or fracture toughness, the young's modulus etc., of the coal type to the specific applications especially for industries like power station(s) and construction, steel manufactures (see Figure 5) [34], [47], [48], [49]. The Hardgrove grindability index (HGI) imitated on the graphical construct of Figure 6 and Figure 7, explicitly show the coal hardness to be increasing rhythmically from Nuts (60.37), Cobbles (64.58), run-of-mine coal (66.84), Fines (66.99) and to Peas (67.37) having the highest (HGI) value and reporting as the softer material in the collection set.…”

Section: Discussionmentioning

confidence: 99%

Coal Sampe Preparation Strategy using the TENCAN GQM series Ball Milling device.

Gaesenngwe,

RAGHUPATRUNI,

MAMVURA

et al. 2024

Preprint

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The application of Semi Autogenous Grinding strategy in mineral beneficiation engineering is well defined and established unit operation that is qualified for liberation of valuable final products from various rock ores of various kinds. The TENCAN GQM series Ball Mill equipment was deployed throughout our investigation to learn on optimum setting factors that are crucial in achieving effective product quality outcome during coal beneficiation. Therefore, a Semi-autogenous grinding methodology was deployed for grinding five (5) different coal samples into a product stream ranging in particle size from below [−600μm, +38μm] through an optimized procedure that syndicate three(3) control parameters being the {A − powder filling (fc), B − ball loading (JB) and C − residence time or grinding duration (t)}. Moreover, to analyse the grinding kinetics during interaction to produce coal mass recovery at desirable particle size specification relevant for specific manufacturing industry. However, initially the coal sample material was acquired and characterized via three spectroscopy techniques {x – ray diffraction (XRD), x – ray fluorescence (XRF), scanning electron microscopy (SEM)}, to establish contrast of each sample material in composition, morphology, hardness, and the relative abundance of occurring species entrenched within the coal structure (inorganic matter). Hence using the Proximate testing, Ultimate testing, and petrography analysis the examination was possible for each sample type collected. The coal samples that were initially collected were assorted in particle sizes classification and were grouped as run-of-mine coals (−200mm), Cobbles (−75mm, +40mm), Nuts (−40mm, +25mm), Peas (−32mm, +14mm) and fines (−14mm) according to our laboratory sieve specifications. However, the acquired coal species were initially subjugated to a hardness testing using the Hardgrove grindability Index device that reported a variable coal grindability index value with material hardness increased from Nuts (60.37), Cobbles (64.58), ROM (66.84), Fines (66.99) to Peas (67.37) which are relatively soft compared to other coal samples. Process engineers, researchers and students in different organizations studying metallurgy and coal beneficiation etc., must be informed about factors affecting coal material preparation innovations and the health-safety risk encounter by the mineral engineer personal during handling and processing. Moreover, production efficacy is significantly improved through adopting optimized model functions that accurately increase the product recovery at lower power rating for the cumulative production path hence relevantly reducing the cost(s) of exacerbated by tedious and unnecessary methods.

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Section: Discussionmentioning

confidence: 99%

Coal Sampe Preparation Strategy using the TENCAN GQM series Ball Milling device.

Gaesenngwe,

RAGHUPATRUNI,

MAMVURA

et al. 2024

Preprint

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“…The utilization of coal product(s) in different organizations that provide various services and manufacture products based on coal like soil fertilizers and pH stabilizers, coal based columnar-activated carbon for wastewater treatment etc., [9], [10], [11], [12] Figure 2 An illustration of common coal products and coal by-products usage in other manufacturing organization. Four major ( 4) examples together with associated percentages consumption of industries from the cumulative coal mining world-wide these include domestic application, metallurgical sectors, power generation, civil and construction corporations and cement manufactures [15], [16], [17].…”

Section: Declaration Of Competing Interestmentioning

confidence: 99%

“…Due to an increasingly high demand for coal and coal by-products in different industries such as the construction and ceramic industries, the water-affairs (wastewater treatment) department, material synthesis industry, road construction industries uses Tar and other polymetric materials for binding, metallurgical industries, catalysis manufacturers and Jewelers for arti cial diamond synthesis uncontrolled disposal of coals into land lls must be restricted to discourage economic or nancial losses and many environmental health threats connected to coal dumping, consider (Table 1) and (Figure 2) [9], [10], [11], [12].…”

Section: Introductionmentioning

confidence: 99%

Coal Structure Evaluation and Morphological Properties That Affect the Coal Usage in Industries.

Gaesenngwe,

Danha,

RAGHUPATRUNI

et al. 2024

Preprint

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The contemporary research article is central to understanding coal structure evaluation and the morphological development impacting its utilization in different applications. Through Mineral Liberation Analysis (MLA) designs high content phyllosilicates minerals and swelling clay minerals were rationalized to provides a novel insight into enhanced coal beneficiation and the benefits of coal by-product re-utilization progressions that encourage safer environments and economic sustainability. This work commences with collection of five (5) different coal samples from the central district mine in Botswana and chemical characterization via Thermogravimetric coal analysis, x-ray fluorescence spectroscopy, x-ray diffraction, scanning electron microscopy and the Hardgrove Grindability Index testing that quantify coal material hardness and fracture toughness. The results showed sulfur and phosphorus inclusions in all samples complemented through sphalerite mineral phases (Zn, Fe)S and the coal morphology stimulated the material fracture toughness and hardness properties by influential mineral amalgams intrinsic to the Botswana central district coal maceral such as aluminum oxides (Al2O3), silicate (SiO2), calcites (CaO), Iron oxide (Fe2O3), potassium feldspars (K−AlSi3O8), albite (Na−AlSi3O8), and anorthite (Ca−Al2Si2O8) compounds in alkali feldspars which are predominantly group I and II carriers were perceived in substantial quantities. The coal industry has attracted much industrial attention by supply of high energy potent coal material and coal-by products to manufacturing foundations producing cement, ceramic tiles, paving bricks and material synthesis and will continue to supply other economic sectors in the conceivable future. Nevertheless, environmental concerns consequential to coal beneficiation are pressing issues requiring transdisciplinary innovations through investigations and technological practices that encourage the elimination of toxins and hazardous compounds from coal products therefore holistically generating sustainable and renewable resource for the future.

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“…Hence, instead of, for example, testing the hypothesis that the samples originate from same populations, we can continue to set-up an interval-estimate or control charts to forecast differences. 43,44 That is, by applying prescriptive analytics, switching from data-science world to decision-science driven ecosystem is proposed.…”

Section: Prescriptive Analyticsmentioning

confidence: 99%

Quantitative Microscopy: Particle Size/Shape Characterization, Addressing Common Errors Using ‘Analytics Continuum’ Approach

Saravanan

Muthudoss

Khullar

et al. 2021

Journal of Pharmaceutical Sciences

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Particle size/shape characterization of active pharmaceutical ingredient (API) is integral to successful product development. It is more of a correlative property than a decision-making measure. Though microscopy is the only technique that provides a direct measure of particle properties, it is neglected for reasons like non-repeatability and non-reproducibility which is often attributed to a) fundamental error, b) segregation error, c) human error, d) sample randomness, e) sample representativeness etc. Using the "Sucrose" as model sample, we propose "analytics continuum" approach that integrates optical microscope PSD measurements complimented by NIR spectroscopy-based trending analysis as a prescreening tool to demonstrate sample randomness and representativeness. Furthermore, plethora of statistical tests are utilized to infer population statistics. Subsequently, an attribute-based control chart and bootstrap-based confidence interval was developed to monitor product performance. A flowchart to serve as an elementary guideline is developed, which is then extended to handle more complex situations involving API crystallized from two different solvent systems. The results show that the developed methodology can be utilized as a quantitative procedure to assess the suitability of API/excipients from different batches or from alternate vendors and can significantly help in understanding the differences between material even on a minor scale.

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Application of Statistical Process Control for Coal Particle Size

Cited by 7 publications

References 3 publications

Coal Sampe Preparation Strategy using the TENCAN GQM series Ball Milling device.

Coal Sampe Preparation Strategy using the TENCAN GQM series Ball Milling device.

Coal Structure Evaluation and Morphological Properties That Affect the Coal Usage in Industries.

Quantitative Microscopy: Particle Size/Shape Characterization, Addressing Common Errors Using ‘Analytics Continuum’ Approach

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