Reducing Richtmyer Meshkov Instability Jet Velocity via Inverse Design

TL;DR

This paper presents an inverse design approach using genetic algorithms to optimize buffer design in shaped charge jet analogues, significantly reducing jet velocity and validated through experiments.

Contribution

It introduces a novel inverse design method employing genetic algorithms to optimize buffer configurations in shaped charge analogues, enhancing jet velocity control.

Findings

Optimal buffer design achieved significant velocity reduction.

Genetic algorithm discovered unintuitive, complex buffer configurations.

Experimental validation confirmed model accuracy and effectiveness.

Abstract

In this work, we detail a novel application of inverse design 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 a 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.