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A software-based solution to estimate the angles of incidence of AK bullets using bullet hole features on 1mm sheet metal

Nishshanka, Bandula, Shepherd, Chris, Ariyarathna, Randika (2020) A software-based solution to estimate the angles of incidence of AK bullets using bullet hole features on 1mm sheet metal. In: 13th International Research Conference - Holistic approach to national growth and security, 15-16 Oct 2020, Colombo, Sri Lanka. (Unpublished) (KAR id:84389)

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Abstract

Bullet holes and their characteristics are considered important evidence in shooting incidents and can play a major role in the determination of a fired bullet’s trajectory. This research aimed to design a software-based tool for bullet trajectory determination in shooting investigations. The development of the tool was based on the analysis of data from previous empirical test results of two research papers from the authors relating to the numerical relationship of AK bullet hole features and the angles of incidence when AK bullets (7.62mm x 39 mm) perforate and ricochet off 1mm zinc-coated automotive sheet metal. The proposed solution suggests an alternative method to existing bullet trajectory estimation methods used in shooting investigations through a novel software-based approach.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Forensic Ballistics, Shooting Incident Reconstructions, Bullet Trajectory Determination
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76 Computer software
R Medicine > RA Public aspects of medicine > RA1001 Forensic medicine. Medical jurisprudence. Legal medicine
Divisions: Divisions > Division of Natural Sciences > School of Physical Sciences
Depositing User: Chris Shepherd
Date Deposited: 23 Nov 2020 23:39 UTC
Last Modified: 16 Feb 2021 14:16 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/84389 (The current URI for this page, for reference purposes)
Nishshanka, Bandula: https://orcid.org/0000-0003-0704-8448
Shepherd, Chris: https://orcid.org/0000-0002-9294-4791
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