The available realtime ash content measurement techniques include radiometry, photoelectric measurement, and image processing [3,4,5]. Among these techniques, radiometry is used most widely in coal industry, which can be divided into two categories,, sourcebased radiometry, and passive radiometry.
This review is based on how to measure particle sizes with different image processing techniques. In addition to this, particle size significantly affects the mechanical properties of the material ...
Take the Xray image of coal sample. 2. Convert the image to gray scale image. 3. Plot the histogram equalization graph of image and display the image 4. Find out the appropriate thresholding level from graph. 5. Count the number of white and black pixels from thresholded image . 6. Calculate the ratio of white Vs black. 3. RESULTS :
In the coal preparation process, evaluation of the screening performance involves the measurement of particle size distribution of products, which has traditionally been carried out using a manual screening method (SM), a relatively timeconsuming process that does not provide timely feedback for adjusting operational parameters.
... Traditionally, the particle size distribution of coke was measured by combining methods of manual detection and mechanical vibration.
1 August 2009. A new online laser based coal particle size analysis system promises improved coal combustion. Coal particle size analysis is a crucial element in the optimisation of coalfired combustion for power generation, with coal particle size impacting many aspects of the combustion process including: loss of ignition (LOI); coal flow ...
DOI: / Corpus ID: ; Size distribution measurement of coal fragments using digital imaging processing article{Yang2020SizeDM, title={Size distribution measurement of coal fragments using digital imaging processing}, author={Xiaohan Yang and Tingxiang Ren and Lihai Tan}, journal={Measurement}, year={2020}, volume={160}, pages={107867}, url={https://api ...
Therefore, if a pellet size issue occurs during operation, it cannot be addressed quickly. This paper presents a method for frequent, realtime carbon black PSD measurement through image processing. The processes for pellet imaging, image processing, PSD calculation, and original image processing correction are introduced in detail.
In order to avoid measurement errors, field tests were repeated four times on May 20, May 26, August 12, and August 17, 2019. The average measurements of the four tests were employed to plot the histogram of the particle size distribution (mass ratio) for the front scraper and rear scraper coal bodies (Figures 3 and 4, respectively).The grain size of the coal cutting and coal caving is ...
Comparing with different particle size measurement methods, the dynamic image method has the advantages of wide measurement range and good repeatability of measurement results. ... "Influence of coal particle size on particulate matter emission and its chemical species produced during coal combustion," Fuel Processing Technology, vol. 85 ...
An image segmentation algorithm for measurement of flotation froth bubble size distributions. Measurement (2017) Bhuiyan et al. Quantitative image analysis of bubble cavities in iron ore green pellets. ... Prediction of density and sulfur content level of high‑sulfur coal based on image processing. Powder Technology, Volume 407, 2022 ...
The statistical size distribution of coal fragments measured by image processing is compared with the theoretical distribution function and manual sieving results. This paper provides an innovative and eficient method for size distribution measurement in the study of coal failure process. Disciplines Engineering | Science and Technology Studies
Laser particle analyzer and image analysis were used to measure the particle size distribution of 6 coal samples with the size range of 1 ∼ 2 mm. Based on obtaining the size...
To improve measuring efficiency, some studies attempted to measure PSD by image processing methods [6]. The corresponding challenges of such methods are clearly specified as below: ... This automated image segmentation method provides a new approach for rapidly analysing the size distribution of coal particles with size fractions defined ...
In the coal preparation process, particle size distribution (PSD) is very important for determining the load of the classification equipment and the separation effects of particles with extensive classes (Liu et al., 2014).
Most of mineral processing operations depend on the size distribution measurements which is a key factor improving process efficiencies. As the same in the coal preparation plants, many separating processes and equipments depend on the particle size distribution of raw coal, which directly influences the separation efficiency.
The acoustic and resistivity measurements of coal rock samples taken from the southern Qinshui Basin in China were measured under dry and saturated conditions of different salinity solutions. ... Full size image. Fig. 3. Complete waveform and spectrum analysis of QS2 dry coal rock ... According to the analysis of acoustic wave image processing ...
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... Yang et al. [19] suggested applying an image processing technique to measure coal pieces produced by uniaxial compression tests. The image processing method based on the MATLAB...
By image processing, Yang [12] measured the particle size distribution of lump coal with a size range of ∼ 20 mm, and compared the statistical distribution with fractal distribution function and artificial sieving results, providing a novel and effective method for the particle size distribution measurement in the study of coal failure ...
Abstract. Image analysis was adopted to estimate the ash content of clean coal, which contains approximately 3% ash. Seven features were identified based on the gray histogram of coal pictures ...
To obtain the geometrical statistics of the coal cleat network at the core scale, quantitative image analysis methods on the segmented microCT images have been developed. BossieCodreanu et al. (2004) and ( Mazumder et al., 2006) measured cleat density, spacing, orientations and aperture sizes using microCT scanning.
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