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Tracking interface position of a high-speed imploding composite liner based on magnetic diffusion difference.

Zhongyu ZhouZhuowei GuFuli TanJianheng ZhaoChengwei Sun
Published in: The Review of scientific instruments (2023)
A technique for tracking the interface position of non-metal-metal composite liners during high-speed implosion is proposed in this paper. Based on the magnetic diffusion difference between metal and non-metal, the interface position information is obtained by measuring magnetic fields in the cavity of the liner. An efficient magnetic flux estimation algorithm based on iterative magnetic diffusion simulation is also proposed to estimate the magnetic flux loss of the liner. Numerical experiments show that the estimation algorithm can reduce the relative error to less than 0.5%. The composite solid liner experimental results show that the maximum error is about 2% under imperfect experimental conditions. Detailed analysis suggests that this method can be widely applied to non-metallic sample materials (electrical conductivity is less than 103 ∼ 104 S/m). The technique provides a useful supplement to the existing interface diagnosis methods for high-speed implosion liners.
Keyphrases
  • high speed
  • molecularly imprinted
  • atomic force microscopy
  • high resolution
  • machine learning
  • deep learning
  • healthcare
  • magnetic resonance
  • computed tomography
  • solid phase extraction