Structural Optimization of Electromagnetic Launcher in Active Electromagnetic Armor

Wang, Huijin; Huang, Yongfang; Li, Ruifeng; Duan, Hang; Huang, Jin

doi:10.1109/tps.2010.2076314

Cited by 3 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, these analytical analyses did not consider variations in specific time current with an increase in resistance and inductance. Moreover, this equation applies to active electromagnetic launcher armor that utilizes the Lorentz force in a manner similar to an electromagnetic launcher [25].…”

Section: Introductionmentioning

confidence: 99%

Analytical Performance Prediction of an Electromagnetic Launcher and Its Validation by Numerical Analyses and Experiments

et al. 2019

View full text Add to dashboard Cite

An electromagnetic launcher (EML) is used to generate high launching velocities. The basic governing equation of the propulsion force of an EML is that the propulsion force is directly proportional to current and inductance gradient. L ′ is the inductance gradient that refers to the increase or decrease in the inductance with the length of rails. The inductance gradient is easily calculated because it is a function of the rail shape and frequency. However, current ( I ) flowing in an EML is calculated by the series resistor, inductor, and capacitor (RLC) equation of the equivalent circuit. Here, L is not constant and increases as the projectile muzzles. Owing to the increase in inductance, the current ( I ) and voltage ( V ) vary depending on the projectile position. Therefore, inductance, current, and voltage should be exactly obtained to calculate the exact current at a specific time. This study deals with analytical performance prediction using the relation EML propulsion force with real-time current, which is based on an increase in resistance and inductance at a specific time. To validate this approach, the results of the current waves are compared via numerical analyses and experiments. Using this prediction method, it is possible to determine and optimize the rail shape and length from the capacitor bank and vice versa.

show abstract

Section: Introductionmentioning

confidence: 99%