JOURNAL ARTICLE

The relevance of current forensic firearms examination techniques when applied to 3D printed firearms.

  • Published In: Journal of Forensic Sciences, 2024, v. 69, n. 2. P. 659 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Wenzinger, Zara Ellen; Wetzel, Stephanie; Bernarding, Benjamin; Viator, John; Kohlhepp, Brian; Marshall, Pamela 3 of 3

Abstract

This research project had two major objectives. The first was to successfully print and fire the Liberator, a 3D‐printed firearm, to assess its feasibility as a lethal weapon. The second objective was to identify any individual characteristics that might be deposited during the firing process by the firearm. The Liberator was printed using unchanged files downloaded from the internet using PLA and ABS filament. The Liberator was fired remotely into newspapers at the Allegheny County Medical Examiner's Office. The printing of the Liberator was both inexpensive and relatively quick with only minor hand modifications made after printing. The Liberator fractured beyond repair after firing but successfully fired and penetrated three newspapers. Neither the bullet nor the cartridge case exhibited any individual characteristics that could be used for identification purposes. Suspected thermoplastic deposits were identified on both the bullet and cartridge case, but additional testing must be done for confirmation purposes. In conclusion, the Liberator can be used reliably for one shot and will not yield any evidence for Firearms and Toolmark Examination. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Forensic Sciences. 2024/03, Vol. 69, Issue 2, p659
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2024
  • ISSN:0022-1198
  • DOI:10.1111/1556-4029.15467
  • Accession Number:175870087
  • Copyright Statement:Copyright of Journal of Forensic Sciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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