Modeling the electrostatic charging of a helicopter during hovering in dusty atmosphere

Großhans, Holger; Szász, Róbert Zoltán; Papalexandris, Miltiadis

doi:10.1016/j.ast.2017.01.014

Cited by 12 publications

(4 citation statements)

References 25 publications

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“…The authors of the current paper develop the numerical tool [24] which aims to compute the electrostatic charging of powder flows. Previously, we used this tool to conduct a wide range of studies regarding charge build up in circular pipe flows [9][10][11][12], channel flows [14], cubical boxes [15], and even atmospheric flows [13,16] (for an overview, please refer to Ref. [8]).…”

Section: Introductionmentioning

confidence: 99%

A new computational algorithm for the interaction between electrically charged particles

Bissinger

Großhans

2020

SN Appl. Sci.

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In industrial applications, the dynamics of particles is frequently controlled through electrical charges, e.g., in electrostatic precipitators or during powder coating. However, the electrification of particulates can also cause the formation of deposits, hazardous sparks, and dust explosions. The objective of our work is to propose a new computational method which captures accurately the dynamics of interacting electrically charged particles during their approximation. This model focuses especially on the precise prediction of the contribution of the electrostatic and collisional forces whose timescales are typically much smaller than the numerical time-step used to compute forces other than the Coulomb force. To this end, binary particle interaction is calculated through the local adaptive refinement of the time-step. We present results that demonstrate the capability of the method to accurately and efficiently describe binary and multiple particle interaction. Further, through comparison with benchmark solutions we elaborate on the conditions, in terms of particle charges and sizes, for which our model is superior to previously employed approaches.

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Section: Introductionmentioning

confidence: 99%

A new computational algorithm for the interaction between electrically charged particles

Bissinger

Großhans

2020

SN Appl. Sci.

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“…This source term enforces no-slip boundary conditions at the virtual interface between the solid and the fluid. We set the constants to C 1 " 1{s and C 2 " 6{∆h 2 since this choice led previously to satisfying numerical efficiency and stability [38][39][40][41]. Therein, h is the local cell size in the direction the momentum equation is solved.…”

Section: Powder Flow Solvermentioning

confidence: 99%

Simulation of PMMA powder flow electrification using a new charging model based on single-particle experiments

Großhans¹,

Xu²,

Matsuyama³

2022

Preprint

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Thus far, simulations fail to predict the electrostatic charging of powder during pneumatic transport accurately. We advanced the modeling of powder flow charging by a three-part study: first, we shot individual particles on a metal target and measured the exchanged charge. Second, based on these results, we formulated an empirical model and implemented it in our CFD tool. Using this tool, we performed large-eddy simulations of the powder flow through a square duct with a cylindrical obstacle inside. Finally, we measured powder charging of in our pneumatic conveying test rig and compared it to the simulations. The simulations and the new model successfully predict the charging of powder consisting of monodisperse particles of a size of 200 µm. Contrary to the usual procedure for this type of simulation, the numerical predictions require no tuning of any model parameters. According to our model, these contacts lead to bipolar charge distributions.

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“…22 The research covers a variety of aspects, such as particle charging mechanism, 22 field experimental measurements, 23 and quantitative electrification prediction under specific conditions. 24 Although notable advances have been achieved in this field, the electrification of sand particles is still poorly understood and many challenges remain in quantitative analysis, charging mechanism and experimental measurement technique since the multi-field coupling effects due to the incorporation of sand motion, wind field as well as the E -field.…”

Section: Simulation Of Idms Charge Signals Based On Finite-element Mo...mentioning

confidence: 99%

Characterization of gas turbine ingested sand particles based on electrostatic signal

Sun

Jiang

Yang³

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part A:

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Particle ingestion into a gas turbine can have serious effects on both performance and engine in-service reliability. Thus there exists a need for in situ monitoring and characterizing particulate matter entering an aircraft engine inlet for the purposes of engine damages estimation and prognosis. This paper presents the initial development of Ingested Debris Monitoring System (IDMS) signal processing method of characterizing the ingested particles. A theoretical analysis and simulation study were carried out to study the relationships between the characteristics of the ingested sand particles and the features of the IDMS signal both in frequency- and time-domain. A Finite-Element Modeling (FEM) for the IDMS Sensor was developed, then the validated FEM modeling was used for simulation experiments of particles ingestion under various conditions of different particle moving speeds, concentrations and charge-to-mass ratios. Results of the theoretical analysis and simulation study demonstrates the feasibility and effectiveness of the proposed method to provide real time information characterizing the size and concentration of ingested sand particles, and will serve as an impetus to carry out further research.

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Modeling the electrostatic charging of a helicopter during hovering in dusty atmosphere

Cited by 12 publications

References 25 publications

A new computational algorithm for the interaction between electrically charged particles

A new computational algorithm for the interaction between electrically charged particles

Simulation of PMMA powder flow electrification using a new charging model based on single-particle experiments

Characterization of gas turbine ingested sand particles based on electrostatic signal

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