Optimizing Buffer Design to Reduce Jet Velocity in a Shaped Charge Jet Analogue

ORAL

Abstract

In this work, we detail a novel application of computational optimization and advanced manufacturing to

rapidly develop and experimentally validate modifications to a shaped charge jet analogue. The shaped

charge jet analogue comprises a conical copper liner, high explosive (HE), and silicone buffer. We apply

a genetic algorithm to determine an optimal buffer design that can be placed between the liner and the HE

that results in the largest possible change in jet velocity. The use of the genetic algorithm allows for

discoveries of unintuitive, complex, yet optimal buffer designs. Experiments using the optimal design

verified the effectiveness of the buffer and validated the modeling.

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Publication: "Reducing Jet Velocity in a Shape Charge Analogue via Machine Learning Driven Designs", Kline & Hennessey et. al (planned submission)

Presenters

  • Michael Hennessey

    Lawrence Livermore National Laboratory

Authors

  • Michael Hennessey

    Lawrence Livermore National Laboratory

  • Dylan J Kline

    Lawrence Livermore National Laboratory

  • David K Amondson

    Lawrence Livermore National Laboratory

  • Steve Lin

    Lawrence Livermore National Laboratory

  • Keo K Springer

    Lawrence Livermore National Laboratory

  • Robert V Reeves

    Lawrence Livermore National Laboratory

  • Michael D Grapes

    Lawrence Livermore National Laboratory

  • Kyle T Sullivan

    Lawrence Livermore National Laboratory

  • Jonathan L Belof

    Lawrence Livermore National Laboratory

  • Peggy P Li

    Lawrence Livermore National Laboratory