Bilen M. | Kızgut S. | Yilmaz S. | Baris K. | Cuhadaroglu D.

Article | 2018 | International Journal of Coal Preparation and Utilization38 ( 2 ) , pp.75 - 87

Grindability of a coal is generally represented in terms of the Hard Groove Grindability Index (HGI); a coal of lower HGI needs more energy to be ground. Samples of this study were taken from the Amasra coalfield of the Zonguldak Hard Coal Basin to determine if coal grindability varies with the burial depth of coals. Samples from different burial depths were analyzed and corresponding HGI values were obtained. HGI values of the original samples were found between 51.43 and 79.26. A float-and-sink analysis was performed for some of the original samples and it was found that the HGI values of floated coal samples change between 49.04 . . .and 73.52. A new method, which employs proximate and petrographic analysis data and the burial depth, was proposed for the prediction of HGI. Correlation of HGI with burial depth or the discrimination of floated and original coal currently exists. Correlations of the proposed methods have satisfactory coefficient of determination values (R2 =.75, R2 =.86) for the original and floated coal samples studied. This new proposed method was tested on the data and the previously studied original and floated coal samples of the Zonguldak coalfield and yielded a good correlation (R2 =.87, R2 =.90). The proposed method can be considered to yield reasonable predictions for the Amasra coalfield. © 2016 Taylor & Francis Daha fazlası Daha az

Bilen M. | Kizgut S. | Çiçikci E.

Conference Object | 2017 | IMCET 2017: New Trends in Mining - Proceedings of 25th International Mining Congress of Turkey , pp.438 - 442

In this study, Tincal samples from Bandirma Boron Plant were taken for the period of October 2015. Tincal samples from the feed stream were collected for a one-month period on daily basis. A total number of 31 samples were analyzed in terms of moisture content and B2O3 grade. Moisture content and grade of the run of mine ore have an effect on the recovery of the boron processing plant. Concentrate grade was also determined at the same period where feed samples were collected and a correlation was tried to be established. Recovery of the plant was calculated each day as assuming the daily feed amount of Tincal as 500 tonnes (monthly . . .15000 tonnes) and daily product of 200 tonnes (monthly 6000 tonnes). Feed Tincal moisture contents vary between 2.77% and 5.54%. Although this range of moisture content is not a big deal, it might be related with increase or decrease in recovery percentages. B2O3 grade of the feed ore varied between 22.67 % and 27.25%. This approximately 5% range could be meaningfull, an increase in feed grade would also cause an increase in product B2O3 grade as expected. In this study, feed moisture and feed grade was correlated with recovery and a new method to predict recovery is proposed. According to this new method, recovery of B2O3 would be easily calculated by just employing the moisture content and grade data of run of mine ore. Very high correlation coefficient (R2=0.99) between measured and predicted recovery was achieved. This proposed method would enable one to better understand the effect of moisture content and tenor of run of mine ore on recovery Daha fazlası Daha az

Yilmaz S. | Bilen M.

Book Part | 2016 | XVIII International Coal Preparation Congress: 28 June-01 July 2016 Saint-Petersburg, Russia , pp.953 - 957

In this study empirical relationship of HGI (Hard Groove Grindability Index) was established in terms of proximate analysis of coal. HGI is important parameter at mining applications such as excavation, crushing, grinding, dust generation. HGI has long been researched and empirical equations evaluating coal proximate analysis data has been proposed. Grindability of coal should be in consideration for power plant operators as well since milling requires high energy and no frequent maintenance is desired for mills. Determination of HGI experimentally takes time and studies address on the estimation of them in an easier way. Proximate . . .analysis of coal is easily evaluated and coals are classified with respect to their proximate analysis results. That is why, with the help of proximate analysis data, method can be developed to estimate HGI..In this study user friendly methods were proposed to predict HGI and this could be helpful tool for the initial estimates. This user friendly method was proposed and applied on the data taken from previous studies. Proposed estimation method of HGI are in good agreement with the previous studies’ results. © Springer International Publishing Switzerland 2016 Daha fazlası Daha az

Çuhadaroglu D. | Sirkeci A.A. | Bilen M. | Kizgut S. | Yilmaz S. | Yilmaz C.E.

Conference Object | 2017 | IMCET 2017: New Trends in Mining - Proceedings of 25th International Mining Congress of Turkey , pp.433 - 437

Coal can be regarded as an aggregation of organic and inorganic materials. Most of the minerals associated with the inorganic material are mainly clay minerals, quartz, carbonates, sulfides, and sulfates. In this study, brown coal samples were collected from 10 different brown coal pits in Turkey. Firslty, these coal samples were cleaned in terms of density seperation. Secondly, ash contents of original and clean coal samples were determined. Thirdly and finally, HGI (Hard Groove Index) values were determined for each sample of clean and run of mine coals. According to obtained HGI results for the run of mine coal samples; Gürmin-Me . . .rzifon brown coal has the highest HGI value as 68.5, while Saray-Tekirdag brown coal has the lowest HGI value as 43.5, respectively. HGI results for the clean coal samples; Ilgin-Konya brown coal has the highest HGI value as 84.4, while Orhaneli-Bursa brown coal has the lowest HGI value as 40.8, respectively. Evaluating the all results of HGI and ash content analysis, as ash making minerals reduce down with density seperation, HGI values are tend to increase. Coals containing higher mineral contents are more difficult to fracture compared to the ones having less mineral content Daha fazlası Daha az

Durgun D. | Genç, Ayten

Article | 2009 | Energy34 ( 11 ) , pp.1976 - 1979

The production rates of furnace bottom ash in a pulverized coal-fired power plant were monitored for a two-year period and its variations with respect to coal properties were analyzed. The power plant was originally designed to fire the coal sludge generated from a washing process; however, the coal sludge and its mixture with low-rank bituminous coal have been started to be used as the main fuel with time. The results of the hardgrove grindability measurements have shown that the grinding properties of sludge or its mixtures could not be predicted based on proximate analysis (moisture, ash, carbon and volatile contents); it could o . . .nly be determined by experiments. The production rate of bottom ash in this particular power plant remained relatively insensitive to the high ash and moisture contents and could be estimated almost only by knowing the calorific value of the source coal. The evaluated dependency was linear. © 2009 Elsevier Ltd. All rights reserved Daha fazlası Daha az