scholarly journals Tutorial: Langevin Dynamics methods for aerosol particle trajectory simulations and collision rate constant modeling

2021 ◽  
Vol 155 ◽  
pp. 105746
Author(s):  
Vikram Suresh ◽  
Ranganathan Gopalakrishnan
Keyword(s):  
Aerosol Particle ◽  
Rate Constant ◽  
Particle Trajectory ◽  
Langevin Dynamics ◽  
Collision Rate ◽  
Trajectory Simulations

Study of Particle Acceleration during Reconnection via TS-4 Particle Trajectory Simulations

2012 ◽  
Vol 132 (6) ◽  
pp. 411-416
Author(s):  
Patrick Copinger ◽  
Michiaki Inomoto ◽  
Toru Ii ◽  
Akihiro Kuwahata ◽  
Yoshinori Hayashi ◽  
...  
Keyword(s):  
Particle Acceleration ◽  
Particle Trajectory ◽  
Trajectory Simulations

An Investigation in the Variance in Particle Surface Interactions and Their Effects in Gas Turbines

1992 ◽  
Vol 114 (2) ◽  
pp. 235-241 ◽  
Author(s):  
A. Hamed
Keyword(s):  
Gas Turbines ◽  
Laser Doppler Velocimetry ◽  
Particle Trajectory ◽  
Particle Surface ◽  
Axial Flow ◽  
Particle Dynamics ◽  
Surface Interactions ◽  
Distribution Functions ◽  
Particle Velocities ◽  
Trajectory Simulations

This work presents the results of a study conducted to investigate particle surface interaction characteristics and their effects on the particle dynamics and blade erosion in axial flow gas turbines. The particle restitution velocities measured experimentally using Laser Doppler Velocimetry in a special tunnel are analyzed using statistical methods. The resulting distribution functions of the rebounding particle velocities after surface impacts are introduced in the particle trajectory simulations through the turbine blade passages, using a methodology that combines particle dynamics computations in a probabilistic model. The presented results for the simulated ash particle dynamics demonstrate the effect of the experimentally measured variance in the particle restitution characteristics on the particle surface impacts, and the associated blade erosion in an axial flow turbine.

scholarly journals Simulation of Miniature PDMA for Ultrafine-Particle Measurement

Atmosphere ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 116
Author(s):  
Mingjie Chen ◽  
Huanqin Wang ◽  
Qiang Sun ◽  
Fajun Yu ◽  
Yuzhong Wang ◽  
...  
Keyword(s):  
Process Parameters ◽  
Particle Trajectory ◽  
Ultrafine Particle ◽  
Simulation Software ◽  
Design Parameters ◽  
Differential Mobility ◽  
Measuring Range ◽  
Length Width ◽  
Particle Measurement ◽  
Trajectory Simulations

The effect of the design and process parameters of a particle-classification zone on the sizing precision of a plate differential mobility analyzer (PDMA) was investigated by simulation software in this work. The design parameters consisted of the length, width, and height of the classification zone, and the process parameters could lead to height deviation and an uneven classification-zone wall. Prior to investigating the parameters, a comparison between experimental voltages and PDMA simulation results was applied to validate the simulation model. Thanks to velocity-field and particle-trajectory simulations, as well as experimental data from the former version of the PDMA, the dimensions of the classification zone and other key parameters were optimized. Our research shows that the dimensions of the classification zone influence the applied voltages and the measuring range of the PDMA, and range can be extended to 500 nm with low applied voltages after optimization. When the reasonable error range of the height is ±2% for the classification zone, the PDMA could basically achieve a classification role, and when it is ±1%, the PDMA has a better classifying effect.

An Investigation in the Variance in Particle Surface Interactions and Their Effects in Gas Turbines

1991 ◽  
Author(s):  
A. Hamed ◽  
W. Tabakoff
Keyword(s):  
Gas Turbines ◽  
Laser Doppler Velocimetry ◽  
Particle Trajectory ◽  
Particle Surface ◽  
Axial Flow ◽  
Particle Dynamics ◽  
Surface Interactions ◽  
Distribution Functions ◽  
Particle Velocities ◽  
Trajectory Simulations

This work presents the results of a study conducted to investigate particle surface interaction characteristics and their effects on the particle dynamics and blade erosion in axial flow gas turbines. The particle restitution velocities measured experimentally using Laser Doppler Velocimetry in a special tunnel are analyzed using statistical methods. The resulting distribution functions of the rebounding particle velocities after surface impacts are introduced in the particle trajectory simulations through the turbine blade passages, using a methodology that combines particle dynamics computations in a probabilistic model. The presented results for the simulated ash particle dynamics demonstrate the effect of the experimentally measured variance in the particle restitution characteristics on the particle surface impacts, and the associated blade erosion in an axial flow turbine.

Bimolecular Reactions of Trapped Ions. VIII. Reactions in Propane and Propane–Methane Mixtures

1974 ◽  
Vol 52 (9) ◽  
pp. 1798-1806 ◽  
Author(s):  
Bruce H. Solka ◽  
Andrew Y.-K. Lau ◽  
Alex. G. Harrison
Keyword(s):  
Rate Constant ◽  
Trapped Ions ◽  
Ion Trapping ◽  
Rate Coefficients ◽  
Collision Rate ◽  
Bimolecular Reactions ◽  
Ion Molecule Reactions ◽  
Product Ions ◽  
Primary Ions

The ion-molecule reactions in propane and in methane–propane mixtures have been studied using an ion-trapping technique and rate coefficients have been measured for the reactions occurring. In pure propane the C2H5+ primary ions react by H− transfer to form C3H7+ whereas C2H4+ reacts to form C3H6+ (25%) and C3H7+ (75%). Using isotopically labelled propanes it was found that both n-propyl and i-propyl ions were formed with the n-propyl ions reacting slowly to produce i-propyl ions. In various deuterium labelled methane–propane mixtures C(H,D)5+ reacts with the propane with a rate constant of ∼1.5 × 10−9 cm3 molecule−1 s−1 in agreement with the calculated collision rate. It is shown that no hydrogens from the CH5+ ion are incorporated in the product ions which are found to be C2H5+ (70%), (CH3)2CH+ (25%), and CH3CH2CH2+ (5%).

Doping effects on the geometric and electronic structure of tin clusters

2019 ◽  
Vol 21 (44) ◽  
pp. 24478-24488 ◽  
Author(s):  
Martin Gleditzsch ◽  
Marc Jäger ◽  
Lukáš F. Pašteka ◽  
Armin Shayeghi ◽  
Rolf Schäfer
Keyword(s):  
Density Functional Theory ◽  
Electronic Structure ◽  
Density Functional ◽  
Beam Deflection ◽  
Functional Theory ◽  
Doping Effects ◽  
Depth Analysis ◽  
Trajectory Simulations

In depth analysis of doping effects on the geometric and electronic structure of tin clusters via electric beam deflection, numerical trajectory simulations and density functional theory.

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