Study on electric field distribution in cylindrical metal silo considering particle segregation

Zhou, Qun; Lu, Duanfeng; Liang, Cai; Chen, Xiaoping; Liu, Daoyin; Ma, Jiliang

doi:10.1016/j.apt.2019.10.016

Cited by 11 publications

(3 citation statements)

References 33 publications

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“…The measuring sensor, a part of the detection unit, was designed as a Faraday cage to shield from possible surrounding electrostatic charges. The use of a Faraday cage is well established for measuring triboelectrification (Burgo et al 2016;Zhou et al 2020). Electromagnetic fields (E) striking the box from outside are causing a force effect ⇀ F = Q * ⇀ E on the freely moving charges (Q) of the sheet metal.…”

Section: Electric Field Detectionmentioning

confidence: 99%

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Triboelectric surface field strength of wood after brushing

Leiter

Myna

Frybort³

et al. 2022

Wood Sci Technol

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Mechanical friction causes electrical surface charges on wooden surfaces. In this research, triboelectric activation of solid wood surfaces was investigated by using a wood brushing machine. The extent of activation and the potential influence of machine parameters, or the influence of various wood species are questions so far unanswered. The electrical surface field strengths were continuously detected by means of an electric field meter. Machine settings, such as feed rate and brush pressure, have been varied to better understand the effects on the resulting surface charges. Data showed that nylon and tynex brushes lead to strong positive electric surface field strengths while natural fibers lead to less positive surface field strengths. In contrast, steel wire brushes showed negative electrical field strengths for oak wood, slightly positive field strengths for beech wood and stronger positive field strengths for softwoods. Overall, the tendency that a higher brush pressure led to higher recorded electrical surface field strengths while a faster feed rate reduced the field strengths was observed. As these findings were influenced by wood species and brushing materials, a better understanding of specific triboelectric interactions is essential for future applications. Tailoring surface charges can be an asset for new technical applications, such as chemistry-free primer treatments prior to wood coating.

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Section: Electric Field Detectionmentioning

confidence: 99%

“…The measurement setup allowed the quantification of the accumulated electrostatic surface field strength at zero energy transfer. The principle of electrostatic induction is used for measuring the electric field strength generated (Zhou et al 2020), expressed in V/m with a resolution of ± 5 V/m.…”

Section: Electric Field Detectionmentioning

confidence: 99%

Triboelectric surface field strength of wood after brushing

Leiter

Myna

Frybort³

et al. 2022

Wood Sci Technol

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“…When granular particles of varying sizes are filled into a silo, the larger particles incline to drift towards the wall of the silo while there is an accumulation of the smaller particles near the silo centre [4]. Several factors affect the temperature of stored grain, including ambient air temperature, convective heat transfer, electrostatic charge and solar radiation, leading to possible economic loss [5]. Respiratory heat of the grain, wind, mites, insects and other associated microorganisms contribute to the convective heat transfer in bulk grains, elements which depend on the temperatures of the grains [6]- [8].…”

Section: Introductionmentioning

confidence: 99%

Modelling and Implementation for Airflow and Temperature Distribution in a Small-Scale Granary

Onibonoje

Baandele

Fabunmi

2020

JERA

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One major feature of a granary is the uneven distribution of temperature and airflow. Due to the large variability in the parameters to be considered in characterizing the feature, a pilot test serves as the better way to performing the experiment, which subsequently affects the airflow velocity distribution, and is very difficult to determine by natural experiment. This paper develops a model for uneven airflow and temperature distribution through the layers of stored grains, relative to the indicated parameters. The study aims at predicting the various thermo-physical properties of maize grains using the developed model with the incorporated several expressions obtained, and compare with the measured values through the deployed pilot mini silo. To validate the model, the bin was aerated with forced air at constant humidity and temperature. A mini cylindrical silo was also developed and deployed with bulk grains for a pilot test. The predicted results were compared with the measured values of the temperatures obtained in the various locations of the pilot silo. The two results were closely related, thereby establishing the validity of our model. The model provides information on the direction of flow and velocity in each location within the stored volume of grains, and data for grain cooling, airing and drying in the bin. The developed model is useful for predicting the temperature distribution, airflow and the cooling time for bulk grains under varying aeration conditions, and suitable for optimizing the design and operation of granary systems.

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