Historical Review of Pneumatic Conveying

Klinzing, George E.

doi:10.14356/kona.2018010

Cited by 18 publications

(6 citation statements)

References 24 publications

(10 reference statements)

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“…Dust collectors and pneumatic conveying have been developed and used in industrial transport applications for well over 100 years. The technology emerged from the invention of the Roots blower (Figure 4), which was first tried in 1859 by the Roots brothers in the U.S. [11], and it is still widely used in modern pneumatic conveying applications, although it has been continually tested and upgraded into what we know of it today. Let's look at the two main technologies used by this industrial application: the cyclone of the dust collector itself, which serves to separate the dust from the airflow, and the pneumatic conveying circuit, which serves to transport the particles to the dust collector.…”

Section: Dust Collector System Overviewmentioning

confidence: 99%

Parameters Affecting Dust Collector Efficiency for Pneumatic Conveying: A Review

Beaulac

Issa²,

Ilinca

et al. 2022

Energies

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In a context of energy abundance for industrial applications, industrial systems are exploited with minimal attention to their actual energy consumption requirements to meet the loads imposed on them. As a result, most of them are used at maximal capacity, regardless of the varying operational conditions. First, the paper studies pneumatic conveying systems and thoroughly reviews previously published work. Then, we overview simulations and operating data of the experimental parameters and their effects on the flow characteristics and transport efficiency. Finally, we summarize with a conclusion and some suggestions for further work. The primary goal of this study is to identify the parameters that influence the energy consumption of industrial dust collector systems. It is differentiated from previously published overviews by being concentrated on wood particles collection systems. The results will permit a better selection of an appropriate methodology or solution for reducing an industrial system’s power requirements and energy consumption through more precise control. The anticipated benefits are not only on power requirement and energy consumption but also in reducing greenhouse gas emissions. This aspect shows more impacts in regions that rely on electricity supplied by thermal power stations, especially those that use petrol or coal.

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Section: Dust Collector System Overviewmentioning

confidence: 99%

Parameters Affecting Dust Collector Efficiency for Pneumatic Conveying: A Review

Beaulac

Issa²,

Ilinca

et al. 2022

Energies

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“…Once it is filled up, the results become of the same range. By reducing the length of the channel, the load cell measurement results for MFR should be improved [38]. However, shortening the distance between electrical sensors may result in signal interference.…”

Section: Measurements Of Mechanical Sensormentioning

confidence: 99%

Analysis of Complex Solid-Gas Flow under the Influence of Gravity through Inclined Channel and Comparison with Real-Time Dual-Sensor System

et al. 2021

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Gas-solid flow is used in the chemical industry, food industry, pharmaceuticals, vehicles, and power generation. The calculation of flow has aroused great interest in contemporary industry. In recent decades, researchers have been seeking to build an effective system to monitor and calculate gas-solid flow. Attempts have been extended from computational modeling to the creation of flow pattern visualization methods and mass flow (MFR) quantification. MFR is usually studied by volume flow concentration (VFC) and velocity distribution of solid particles. A non-invasive device is used for testing MFR, in which electronic and mechanical sensors are used to balance the shortcomings related to each other. This study investigates the simulation of flow patterns to demonstrate the behavior of solid particles as they pass through the channel. The particles are allowed to slide longitudinally in the insulated tending channel. This slippage is due to the influence of natural gravity. Electronic sensor components are used to measure the velocity distribution and concentration of volumetric flow. The load cell is used as an auxiliary sensor for measuring MFR. In addition, ANSYS fluent is used to analyze streaming queries. The experimental results are related to evaluating the accuracy and relative error of the data collected from various sensors under different conditions. However, the simulation results can help explain the movement of the gas-solid mixture and can understand the cause of pipeline blockage during the slow movement of solid particles.

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“…It is common occurrence of fly ash with significant differences within the same plant, and the smallest variations in physico-chemical composition can alter their flow behaviors, thus further complicate the modeling process [6]. The general conclusion is that characteristics of the material that needs to be pneumatically transported must be known and well understood in order to avoid numerous problems in the operation of these systems [6], and that in 30 to 40 years we will be able to make a more serious step towards solving the problem of pneumatic transport [14].…”

Section: Introductionmentioning

confidence: 99%

Validation of numerical models for prediction of pressure drop in high capacity long distance lignite fly ash pneumatic conveying

2023

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This paper will validate two basic concepts of numerical models for prediction of pressure change along the transport pipeline in the case of long distance and high capacity lignite ash pneumatic conveying. Application of various friction factor correlations and variation of given parameter, led to the total of fourteen different numerical models and program codes in FORTRAN. The input data for numerical models are based on comprehensive experimental research of high capacity and long distance Kolubara lignite fly ash pneumatic conveying system within 620 MWe thermal power plant unit under operating conditions. Numerical simulation results are validated against experimental data and subjected to statistical analysis methods. The functional dependence obtained by the least squares method was evaluated using mean squared deviation and correlation ratio. The predicted pressure changes show the best agreement, with the measured decrease of pressure amplitudes along the transport pipelines, for the model based on the momentum balance of air-ash mixture flow and friction factor cor-relation given by Dogin and Lebedev for the parameter A = 1.4?10-6. This model achieved the best correlation ratio of 93.99% for Pipeline 1 and 91.33% for Pipeline 2, as well as the best mean squared deviation of 9.58% for Pipeline 1 and 13.66% for Pipeline 2. Also, the fanning friction factor values are fully consistent with previously examined cases available in the literature. Numerical simulation model can be used for prediction of the ash pneumatic conveying capacity and pressure drop for the specified transport pipeline.

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Historical Review of Pneumatic Conveying

Cited by 18 publications

References 24 publications

Parameters Affecting Dust Collector Efficiency for Pneumatic Conveying: A Review

Parameters Affecting Dust Collector Efficiency for Pneumatic Conveying: A Review

Analysis of Complex Solid-Gas Flow under the Influence of Gravity through Inclined Channel and Comparison with Real-Time Dual-Sensor System

Validation of numerical models for prediction of pressure drop in high capacity long distance lignite fly ash pneumatic conveying

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