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 ...
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To ensure the accuracy and realtime performance of coal flow measurement, Yang et al. ... Download fullsize image; Fig. 4. Sample pictures of coal and gangue. ... Prediction of density and sulfur content level of highsulfur coal based on image processing. Powder Technol., 407 (2022), p.
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Browse 1,362 authentic coal processing stock photos, highres images, and pictures, or explore additional coal mining or coal plant stock images to find the right photo at the right size and resolution for your project. coal mining. coal plant. coal washing. mining.
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Full size image. Fig. 3. ... Using binarization processing and contour fitting, ... are the coal and gangue particles measurement and scanning data files, are the coal and ...
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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 ...
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... Traditionally, the particle size distribution of coke was measured by combining methods of manual detection and mechanical vibration.
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MATLAB Brittle Failure 1. Introduction Coal fragmentation is a common physical and mechanical phenomenon exists in the brittle failure of coal subject to static, impact and dynamic loads, during which coal fragments with difference size can be generated.
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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 ...
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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 ...
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Coal analyzer. Coal analyzers are bulk material analyzers used by coal producers, coal preparation plants, and coalfired power plants to determine coal quality in real time. Coal quality parameters of greatest interest include ash, moisture, sulfur, and energy density (also known as heat content ). Although most coal operations can obtain this ...
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Yang et al. introduced a procedure to measure the size distribution of coal fragments using digital image processing [8] by analyzing still images of coal, and the obtained results were closer to the experimental results than those obtained by the size estimation method known as the fractal model.
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Measurement of temperatures is essential for the development of combustion theory and technology [1]. Digital imaging and image processing techniques have shown the ability to obtain information from flames for quantitative characterization and monitoring [24]. Lu and coworkers [5, 6] reconstructed
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Top coal caving simulation test: put 300 mm crushed coal in the funnel, and then tiled 500 mm crushed gangues, the detector height was reduced to 200 mm from the platform bottom plate, the ...
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Two hundred images of coal piles comprised of coal sized above 3 mm were captured. Over 100 kg of coal were sampled and sieved manually into five size fractions: 36, 613, 1325, 2550, and 50100 mm. The size of the image was 1024 × 768 pixels and the imaged area was 18 × cm.
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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 distribution, the average diameter was calculated. Then the diffusion coefficient was calculated by using the average diameter obtained by different methods.
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Image Analysis for Particle Size Distribution CC BY Authors: C. Shanthi R. Kingsley Porpatham N. Pappa Anna University, Chennai Abstract Particle size distribution (PSD) affects...
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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.
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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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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.
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DOI: / Corpus ID: ; Estimation of coal particle size distribution by image segmentation article{Zhang2012EstimationOC, title={Estimation of coal particle size distribution by image segmentation}, author={Zelin Zhang and Jianguo Yang and Lihua Ding and Yuemin Zhao}, journal={International journal of mining science and technology}, year={2012}, volume={22 ...
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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.
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ΣVolume improved plugin performance and overall PSD parameters of ground coal. +1. An example ΣVolume PSD analysis plugin output of the ground coal, replication #4, physical size of image = 203 ...
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Although the use of image processing technology for coal gangue separation has made great progress, there are still some problems. For example, the use of support vector machine for coal gangue recognition requires artificial design features, which is greatly affected by human subjectivity. ... and the image size was set to 1024 × 2048; the ...
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In the realtime measurement, LiXiu et al. designed a coal dust particle size monitoring system by using CCD image sensor, where the device includes two parts: the image acquisition of the lower computer and the image analysis of the PC, the system involves DSP image processing, and the signal processing circuit is more complicated in the ...
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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 ...
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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).
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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 ...
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The work presents image processing based automated system to measure grain size. • The work is edge oriented and can segment grains of different contrast. • The proposed methodology generates closed contour of the grain boundaries. • The outcome of the proposed methodology is comparable to commonly used methods.
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Results could further the concept of a "cell phone microscope" type monitor for semicontinuous measurements in coal mines. ... [28,29], determination of cell size and morphology of ... Cigdem Keles, J. R. Saylor, and Emily Sarver. 2021. "Demonstration of Optical Microscopy and Image Processing to Classify Respirable Coal Mine Dust ...
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