基于多层神经网络的电磁发射线圈弹丸受力预测

A. Dalcalı, Onursal Çetin, C. Ocak, Feyzullah Temurtaş
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引用次数: 4

摘要

电磁发射器中弹丸所受的力根据激发值和弹丸在线圈中的位置而变化。本文建立了电磁发射器线圈和弹丸的三维模型,并用有限元方法对其进行了分析。通过改变线圈的激励值和弹丸的位置,采用参数解的方法得到了弹丸的受力特性。在有限元分析中,通过定义更小的解步,可以进行更精确的分析。但是,由于变量数量的增加,分析时间会延长。考虑到分析的持续时间,采用由一隐层和两隐层组成的多层神经网络模型进行力预测。在多层神经网络的力预测研究中取得了成功的结果。
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Prediction of the Force on a Projectile in an Electromagnetic Launcher Coil with Multilayer Neural Network
The force on the projectile in the electromagnetic launchers varies according to the the excitation value and the position of the projectile in the winding. In this study, 3D model of coil and projectile used in electromagnetic launchers have been created and analyzed by finite element method. The force characteristic on the projectile has been obtained by changing the excitation value of the winding and the position of the projectile using parametric solution method. In finite element analysis, more accurate analysis can be performed by defining smaller solution steps. However, the analysis time is prolonged due to the increase in the number of variables. Taking into consideration the duration of analysis, the force prediction has been carried out using multilayer neural network models consisting of one hidden layer and two hidden layers. Successful results have been obtained in the force prediction studies with multilayer neural networks.
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