Optimization of particle size distribution in circulating fluidized beds via adjustment of crushers and tuning parameters of two-toothed roll crusher

Di, Zichen; Yang, Fengling; Cao, Yan; Zhang, Peihua; Zhang, Kai; Cheng, Fangqin

doi:10.1016/j.powtec.2019.04.068

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…Its other benefits involve being amalgamated with a learning algorithm. 2,3 Through the use of a particular output or input data, FIS is hypothesized by ANFIS, and its membership role constraints are usually modified through the use of a "backpropagation algorithm." 4 Consequently, the FIS may perhaps gain knowledge from the data used in training.…”

Section: Inference System Of the Adaptive Neuro-fuzzy-anfismentioning

confidence: 99%

“…Some of the substantial application of crushing stones and other particles include coarse grinding of quarry stone and ore meal, and fine crushing of stone meals for the boilers within a power station, manufacturing of paints, cement, ceramics, as well as other materials. 1,2 The size reduction process is achieved through the use of crushers. The crushers are categorized concerning the overall particle size (PS) that they produce.…”

Section: Introductionmentioning

confidence: 99%

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Machine learning approach to handle data‐driven model for simulation and forecasting of the cone crusher output in the stone crushing plant

Abuhasel

2020

Computational Intelligence

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Grinding and crushing of stones and other particles are associated with various significant applications. Different sectors have continuously evolved in this area.In the crushing industry, plants function under strict conditions, many of which involve grinding materials. Therefore, various factors are responsible for how the crushers perform. This research investigated the ability of the adaptive neuro fuzzy inference system (ANFIS) to simulate the effects of throw, eccentric speed, closed side setting, and the size of the particle on crusher output. The developed simulation model was adjusted and authenticated alongside the experimental data of the investigated parameters. The model's performance was computed by the use of several prediction criteria skills. The results of the study indicated that the developed ANFIS model could simulate the Cone crusher output and give a dependable forecast of the cumulative weight fraction. The researchers resolved that the model fostered was a suitable instrument for the onsite cone crusher assessment.

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Section: Inference System Of the Adaptive Neuro-fuzzy-anfismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Machine learning approach to handle data‐driven model for simulation and forecasting of the cone crusher output in the stone crushing plant

Abuhasel

2020

Computational Intelligence

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Environmental hazards and comprehensive utilization of solid waste coal gangue

Zheng,

Zhou,

Liu

et al. 2024

Progress in Natural Science: Materials International

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Recent Patents on Roll Crushing Mills for Selective Crushing of Coal and Gangue

Yang

Wang

Bang-sheng

et al. 2020

MENG

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Background: Gangue is the concomitant product of coal mining. The traditional approach for gangue treatment is to transport it from underground to ground level to accumulate and form gangue hills. Objective: On the basis of summarizing previous research results, this paper introduces the hydraulic roller crusher and the electric machine built-in coal gangue roller crusher, which avoids the complex transmission problems caused by the movement of the central axis when the roller crusher is allowed to roll. Methods: The hydraulic counter-roll crusher directly separates large pieces of coal and underground gangue such that large pieces of coal gangue do not escape from the well. The electric machine built-in roller crusher is an explosion-proof electric machine used in the crushing roller. Results: Both of these crushers can be used in the selective crushing technology of coal gangue in a coal mine and can meet the requirements of crushing different material sizes and generally avoid the centre of the roller crusher. Conclusion: Both of these crushers reduce transportation costs, minimise land occupation, prevent surface subsidence, decrease environmental treatment costs, reduce environmental pollution, and decrease the transport volume of gangue underground. Various patents have been discussed in this article.

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Optimization of particle size distribution in circulating fluidized beds via adjustment of crushers and tuning parameters of two-toothed roll crusher

Cited by 3 publications

References 18 publications

Machine learning approach to handle data‐driven model for simulation and forecasting of the cone crusher output in the stone crushing plant

Machine learning approach to handle data‐driven model for simulation and forecasting of the cone crusher output in the stone crushing plant

Environmental hazards and comprehensive utilization of solid waste coal gangue

Recent Patents on Roll Crushing Mills for Selective Crushing of Coal and Gangue

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