Efficiency and stability of lump coal particles swirling flow pneumatic conveying system

Zhou, Jiawei; Han, Xiaoming; Jing, Shuangxi; Liu, Yu

doi:10.1016/j.cherd.2020.03.006

Cited by 25 publications

(4 citation statements)

References 45 publications

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“…Pneumatic conveying is a complex, nonlinear system. Thus, it is difficult to establish an accurate mathematical model of such systems using traditional methods, resulting in challenges in the accurate prediction of the flow specifications in the tube [1][2][3][4]. Generally, the pressure signal data obtained from pneumatic conveying experiments contains complex flow information and is capable of reflecting the gas-solid two-phase flow changes.…”

Section: Introductionmentioning

confidence: 99%

Influence of the Replenishment Methods of the Sending Tanks on Pneumatic Conveying Characteristics

Zhou,

Yan,

Guo

et al. 2024

Chem Eng & Technol

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Data on pressure signals and gas flow rate signals was collected under various experimental conditions. A comparative analysis was conducted to investigate the gradient changes of the fluidizing gas, the supplemental gas, and the pressurizing gas. A three‐factor three‐level orthogonal experiment was carried out. The results demonstrated that the proper use of the fluidizing gas can enhance the steady condition of the conveying process. Increasing the flow rate of the supplemental gas can improve the steady flow pattern, while the pressurizing gas has the opposite effect. The degree of influence of these parameters on the steady condition of the conveying process was shown to follow the order of fluidizing gas valve opening, pressurizing gas valve opening, and regulating gas valve opening.

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Section: Introductionmentioning

confidence: 99%

Influence of the Replenishment Methods of the Sending Tanks on Pneumatic Conveying Characteristics

Zhou,

Yan,

Guo

et al. 2024

Chem Eng & Technol

Self Cite

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“…It was found that the picking speed of 5-15 mm coal particles first increased and then decreased with the swirling number [13]. They also investigated the pressure characteristics and spectral composition of static pressure at different conveying stages in swirling pneumatic conveying [14]. Wannassi et al [15] conducted three-dimensional calculations on blade cyclones with different blade angles, and the results showed that the swirl intensity at the inlet of the vortex generator depends on the blade angle.…”

Section: Introductionmentioning

confidence: 99%

The Effect of a Three-Blade Tube on the Pneumatic Transport of Pebble Particles

Hao,

Chen,

2023

Energies

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In this paper, the Computational Fluid Dynamics–Discrete Element Method (CFD-DEM) coupling method was used to simulate the pneumatic transport of pebble particles in a three-blade spiral tube. The results showed that the flow field distribution rotated along the circumference after loading. The maximum velocity of the flow field after loading was manifested as rotation along the circumference. In addition, the swirl intensity decreased exponentially with the increase in conveying distance, and the maximum swirl intensity had a saturation value. After reaching the saturation value, it is not evident that increasing the initial air velocity significantly affected swirl variation. The smaller the pitch, the greater the initial swirl intensity. The swirling flow was conducive to the fluidization of particles, but it would bring a significant energy loss. Increasing the swirl can increase the degree of particle dispersion. There is an optimal tangential airflow velocity, which allows the particles to fully spin and stay in the suspension zone without being thrown onto the pipe wall by excessive centrifugal force. At this time, the energy efficiency reaches the highest level. A 5.87 m/s velocity was deemed the optimal tangential airflow velocity for conveying 3 mm particles.

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“…The use of pneumatic systems that have been widely applied in industry is not impossible to be applied to other fields where the control devices are combined with other systems. The advantage of using work controls with a pneumatic system such as high speed (Dong et al 2021;Boland et al 2019) and better efficiency (Fang et al 2018;Zhou et al 2020;de Fretas et al 2022) Mathematical modelling and control of pneumatic systems is an active research area attracting many researchers around the world for past few decades. (Al-Dhaifallah et al 2018) Design an intelligent fuzzy-based fractional-order PID control scheme to ensure a robust performance with respect to load variation and external disturbances.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Pneumatic Systems Using the Laplace Equation Based on Python Programing

2023

jcositte

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Analysis for Pneumatic Systems using the Python programming language on Google Colab has been carried out. The steps taken before the simulation are to design a pneumatic system and then determine the Laplace equation based on Bernoulli's law equation. The Python programming language on Google Colab was chosen because it allows users to type Python code in a web browser and can be used for free. The simulation is carried out by varying the value of capacitance (C) from 50 kPa -300 kPa with an increase of 50 kPa. This aims to determine the effect of changes in capacitance variations on the pressure exerted on the pneumatic system. Based on the simulation results, the greater the capacitance variation given, the resulting graph will be more sloping or closer to the x-axis. The C = 50 kPa variation has a steeper graph, while the C = 300 kPa variation has a more sloping graph and is closer to the x-axis.

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Efficiency and stability of lump coal particles swirling flow pneumatic conveying system

Cited by 25 publications

References 45 publications

Influence of the Replenishment Methods of the Sending Tanks on Pneumatic Conveying Characteristics

Influence of the Replenishment Methods of the Sending Tanks on Pneumatic Conveying Characteristics

The Effect of a Three-Blade Tube on the Pneumatic Transport of Pebble Particles

Analysis of Pneumatic Systems Using the Laplace Equation Based on Python Programing

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