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Quantitative characterisation of ballistic cartridge cases from micro-CT
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Alsop, K., Norman, D. G., Remy, Guillaume , Wilson, Paul and Williams, M. A. (Mark A.) (2021) Quantitative characterisation of ballistic cartridge cases from micro-CT. Forensic Science International, 326 . 110913. doi:10.1016/j.forsciint.2021.110913 ISSN 0379-0738.
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Official URL: http://dx.doi.org/10.1016/j.forsciint.2021.110913
Abstract
Evaluation of cartridge cases is essential within forensic ballistic analysis and is used in an attempt to establish a connection to the weapon used to fire it. This study consists of two experiments. The aims of Experiment 1 were to establish whether micro-CT is appropriate and repeatable for ballistic cartridge case analysis and if measurements can be extracted repeatably and reliably. Experiment 2 aimed to compare cartridge cases from two weapons to establish the magnitude of variation within and between weapons. A total of 48 cartridge cases fired by two distinct weapons were collected and micro-CT scanned to a high resolution. One randomly selected cartridge was scanned ten times under the same conditions to ensure repeatability of the scanning conditions in Experiment 1. Three novel measurements to quantitatively assess the firing pin impressions were proposed in Experiment 1 and comparatively analysed from two weapons in Experiment 2. Experiment 1 showed that micro-CT is an effective and highly repeatable and reliable method for 3-dimensional imaging and measurement of ballistic cartridge cases. Furthermore, high agreement for inter-rater reliability was found between five raters. Quantitative micro-CT analysis of the firing pin impression measurements in Experiment 2 showed a significant difference between the two studied weapons using Welch’s t-test (p < 0.01). This study shows the advantage and reliability of utilising micro-CT for firing pin impression analysis. Quantitation of the firing pin impression allows distinction between the weapons studied. With expansion to further weapons, application of this methodology could complement current analysis techniques through classification models.
Item Type: | Journal Article | |||||||||
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Subjects: | H Social Sciences > HV Social pathology. Social and public welfare T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | |||||||||
Library of Congress Subject Headings (LCSH): | Forensic ballistics, Firearms -- Identification, Microcomputed tomography | |||||||||
Journal or Publication Title: | Forensic Science International | |||||||||
Publisher: | Elsevier Science BV | |||||||||
ISSN: | 0379-0738 | |||||||||
Official Date: | September 2021 | |||||||||
Dates: |
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Volume: | 326 | |||||||||
Article Number: | 110913 | |||||||||
DOI: | 10.1016/j.forsciint.2021.110913 | |||||||||
Status: | Peer Reviewed | |||||||||
Publication Status: | Published | |||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||
Date of first compliant deposit: | 26 July 2021 | |||||||||
Date of first compliant Open Access: | 26 July 2021 | |||||||||
RIOXX Funder/Project Grant: |
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