Grinding analysis of Indian coal using response surface methodology

Singh, Twinkle; Awasthi, Aishwarya; Tripathi, Pranjal; Gautam, Shina; Gautam, Alok

doi:10.1007/s40789-016-0138-x

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…A Box-Behnken design method using 27 experiment with 4 parameters formed by 6 central points and 6 axial points to 2 3 full factorial design was used (Mathekar and Agrawal, 2017). Using this Therefore, these four independent parameters were coded at three levels that is +1, 0, and -1 with same step size, where +1 represents the maximum value, 0 represents to the center, and -1 represents the minimum value of each parameter which are considered for analysis (Singh et al, 2016 andMomenzadeh et al, 2011). Within the present research framework, the discussion was focused on the effect of amount of feed (x 1 ), temperature of drying (x 2 ), velocity of hot air (x 3 ), and drying time (x 4 ).…”

Section: Response Surface Methodologymentioning

confidence: 99%

A Statistical Optimization of Convective Drying of Corn Kernels in a Fluidized Bed Dryer

Gautam

Gautam²,

Mahant³

2021

JER is an international, peer-reviewed journal that publishes f

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Food storage is an essential process for food security and it needs to be free from any biological contamination. For the same, agriculture produce needs to be completely dried before sending for storage. The present work discusses a systematic approach to model drying parameters of corn kernels in a fluidized bed dryer. Experiments were designed according to a higher level Box-Behnken design combined with response surface methodology. Four parameters were chosen to vary namely: amount of corn kernels (50 -100 gm), temperature of drying (50 – 80⁰C), air velocity (6.01 – 8.08 m/s) and drying time (30 – 60 min) for experiments as well as for the model. The reduction of moisture content was determined after each experiment for understanding the behaviour of drying process. The model equations were obtained and surface response plots were generated in MATLAB to investigate the drying behaviour of corn kernels with all four parameters. Ultimately, this work represents the dependence of moisture removal on all four parameters chosen with efficient use of response surface methodology and Box-Behnken design. Analysis of variance confirmed that velocity of air and amount of corn are the most significant parameters along with temperature and time of drying. Optimum condition with the model were obtained as 50 gm of corn kernels, 80 ⁰C drying temperature, 8 m/sec velocity of air, and 60 min time of drying for 73.3 % of moisture from corn kernels.

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Section: Response Surface Methodologymentioning

confidence: 99%

A Statistical Optimization of Convective Drying of Corn Kernels in a Fluidized Bed Dryer

Gautam

Gautam²,

Mahant³

2021

JER is an international, peer-reviewed journal that publishes f

Self Cite

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“…The quanti cation and phase identi cation were then performed using the Bruker (D8) Advance powder diffractometer equipment that made use of [Cu K−alpha] radiation with a wavelength of [1.5418] and step counts [0.02] degrees increment at durations of [0.500 sec/stem] such that the (2θ) angle ware ranged between [2θ: (8°≤θ≤80°)]. Moreover, the device was operated at (40mA) and (40kv) overnight to accommodate all the ve (5) samples in our study [28], [31], [32], [33], [35].…”

Section: Ray Diffraction Spectroscopic Analysismentioning

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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Grinding analysis of Indian coal using response surface methodology

Abstract: The present work discusses a systematic approach to model grinding parameters of coal in a ball mill. A three level Box-Behnken design combined with response surface methodology using second order model was applied to the experiments done according to the model requirement.

Cited by 2 publications

References 8 publications

A Statistical Optimization of Convective Drying of Corn Kernels in a Fluidized Bed Dryer

A Statistical Optimization of Convective Drying of Corn Kernels in a Fluidized Bed Dryer

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

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