The importance of considering both depth of penetration and crater volume in forwards-ballistic penetrative experiments

Date

2023-09-26

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

AIP

Department

Type

Conference paper

ISSN

0094-243X

Format

Free to read from

Citation

Powell D, Appleby-Thomas G, Painter J, et al., (2023) The importance of considering both depth of penetration and crater volume in forwards-ballistic penetrative experiments. In: 22nd Biennial Conference of the American Physical Society Topical Group on Shock Compression of Condensed Matter 2022, 10-15 July 2022, Anaheim, California, USA. Volume 2844, Issue 1, September 2023, Paper number 260011

Abstract

The most common method of analysing armour performance is the Depth of Penetration (DoP). However, this one-dimensional measurement does not provide insight into the method of penetration or energy absorbed by the target; the crater could be particularly narrow or very wide and yield the same DoP. Analysis of the crater through Crater Volume (CV) provides a more detailed metric to be used alongside DoP to visualise the crater, indicating whether energy was dispersed over a large area. CV provides a wider insight into how a material resisted penetration events, giving evidence of potential defeat mechanisms. Digital reconstruction of the craters using X-ray radiographs or Computed Tomography (CT) scanning can also provide a useful tool for computational models to be compared against. The simple calculation of CV through X-ray radiography and image processing has been demonstrated to be accurate to within ±6% of the CT scanned CV. Success in utilising this analytical tool was demonstrated through comparison of three armour configurations. A consistent difference in the ratio of DoP:CV was seen between steel targets, ceramic-steel targets and ceramic-air-steel targets, indicating variation in the defeat mechanism between the three target configurations.

Description

Software Description

Software Language

Github

Keywords

Image processing, Ceramics, Computational models, Computed tomography, Radiography

DOI

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Attribution-NonCommercial 4.0 International

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