Effect of ultrafine kaolinite particles on the flotation behavior of coking coal

Li, Yijiang; Xia, Wencheng; Peng, Yaoli; Li, Yanfeng; Xie, Guangyuan

doi:10.1007/s40789-020-00304-5

Cited by 18 publications

(8 citation statements)

References 28 publications

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“…China has abundant coal reserves (Li et al 2020). The coal reserves in China were estimated at 138.819 billion tons in 2018, accounting for 13.2% of the world's total coal reserves (Cheng et al 2019a(Cheng et al , 2020a.…”

Section: Introductionmentioning

confidence: 99%

Advances in depressants used for pyrite flotation separation from coal/minerals

Gan

Zhang

et al. 2022

Int J Coal Sci Technol

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Pyrite is separated from other minerals mainly by flotation. However, the hydrophilicity of pyrite is affected by many factors, causing it to easily enter the concentrate and consequently reduce the quality of concentrate. Highly efficient pyrite depressants can be selectively adsorbed on the surface of pyrite to improve its hydrophilicity, thereby increasing the flotation separation efficiency. Understanding the fundamental inhibition mechanism of depressants on pyrite is a prerequisite to improve the flotation desulfurization efficiency. The inhibition ability and mechanism of different types of pyrite depressants are reviewed in this manuscript. In recent years, molecular simulation has increasingly become a powerful tool to study the interaction between reagents and minerals, shedding new light on the adsorption mechanisms of reagents on mineral surfaces at the atomic and electronic levels. The properties of sulfide mineral and flotation reagents as well as the microscopic adsorption mechanistic studies of reagents on mineral surfaces based on quantum chemistry and molecular simulation are also reviewed.

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Section: Introductionmentioning

confidence: 99%

Advances in depressants used for pyrite flotation separation from coal/minerals

Gan

Zhang

et al. 2022

Int J Coal Sci Technol

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“… 7 Ultrafine particle size is also an important factor constraining the floatability of low-rank coal. 8 − 10 As a rule, surface regulation methods are customarily employed for the betterment of low-rank coal flotation performance. 2 Surface regulation is typically achieved with the aid of surfactants and regulators, which have attained noticeable industrial applications lately.…”

Section: Introductionmentioning

confidence: 99%

“…When applied in low-rank coal reprocessing, separation performance deteriorates due to the inherent characteristics of low-rank coal: high surface roughness and oxygen content . Ultrafine particle size is also an important factor constraining the floatability of low-rank coal. − As a rule, surface regulation methods are customarily employed for the betterment of low-rank coal flotation performance . Surface regulation is typically achieved with the aid of surfactants and regulators, which have attained noticeable industrial applications lately …”

Section: Introductionmentioning

confidence: 99%

Understanding the Role of Polyvinylpyrrolidone on Ultrafine Low-Rank Coal Flotation

et al. 2022

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Effective regulation reagents are essential in low-rank coal flotation for improving the floatability of ultrafine particles. Polymer regulators have great potential in the surface modification of ultrafine coal particles. A novel nonionic polymer, polyvinylpyrrolidone (PVP), is evaluated in this study to determine its effectiveness as a regulator in floating ultrafine low-rank coal. Laser particle size analysis is used to discern both the size distribution of coal particles and the change in size distribution. Contact angle tests are carried out to evaluate the wettability of low-rank coal. Surface functional groups of low-rank coal are analyzed by Fourier transform infrared spectroscopy, and the surface interaction energy is tested by X-ray photoelectron spectroscopy. The results show effective adsorption of PVP and demonstrate the effects of PVP at the coal surface. The adsorption of PVP changes the proportion of exposed carbon and oxygen-containing functional groups on the surface of low-rank coal, regulating the size distribution of low-rank coal particles in suspension. The success of polyvinylpyrrolidone as a regulator in low-rank coal flotation is demonstrated, and the mechanisms by which PVP can affect ultrafine low-rank coal flotation are elucidated.

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“…In accordance with this method, the shearer is applied to cut the rock from the coal seam, and different temperatures are reached. An infrared temperature sensor with high sensitivity is then adopted to detect and explore the temperature of the shearer's pick, which means to determine whether it is a coal seam or a rock layer (Markham et al 1990;Li et al 2020). Wang et al (2021) proposed an identification method for coal and rock interfaces that is based on the integration of information gained by multisensors.…”

Section: Introductionmentioning

confidence: 99%

CNN coal and rock recognition method based on hyperspectral data

Yang

Chang

Zhang

et al. 2022

Int J Coal Sci Technol

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Aiming at the problem of coal gangue identification in the current fully mechanized mining face and coal washing, this article proposed a convolution neural network (CNN) coal and rock identification method based on hyperspectral data. First, coal and rock spectrum data were collected by a near-infrared spectrometer, and then four methods were used to filter 120 sets of collected data: first-order differential (FD), second-order differential (SD), standard normal variable transformation (SNV), and multi-style smoothing. The coal and rock reflectance spectrum data were pre-processed to enhance the intensity of spectral reflectance and absorption characteristics, as well as effectively remove the spectral curve noise generated by instrument performance and environmental factors. A CNN model was constructed, and its advantages and disadvantages were judged based on the accuracy of the three parameter combinations (i.e., the learning rate, the number of feature extraction layers, and the dropout rate) to generate the best CNN classifier for the hyperspectral data for rock recognition. The experiments show that the recognition accuracy of the one-dimensional CNN model proposed in this paper reaches 94.6%. Verification of the advantages and effectiveness of the method were proposed in this article.

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Effect of ultrafine kaolinite particles on the flotation behavior of coking coal

Cited by 18 publications

References 28 publications

Advances in depressants used for pyrite flotation separation from coal/minerals

Advances in depressants used for pyrite flotation separation from coal/minerals

Understanding the Role of Polyvinylpyrrolidone on Ultrafine Low-Rank Coal Flotation

CNN coal and rock recognition method based on hyperspectral data

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