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Three-Dimensional Analysis of Cartridge Case Double-Casts.

Eric F Law1, Keith B Morris1

  • 1Department of Forensic and Investigative Science, West Virginia University, P.O. Box 6121, Morgantown, WV, 26506.

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|September 8, 2020
PubMed
Summary

The double-casting method accurately replicates tool marks on fired cartridge cases. This technique minimizes variability, making it suitable for creating reliable training and testing sets in forensic science.

Keywords:
breech facecartridge case variabilitycongruent matching cellsdouble-castingfirearm identificationfirearm tool mark

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Area of Science:

  • Forensic Science
  • Materials Science
  • Metrology

Background:

  • Shot-to-shot variability in fired cartridge case markings poses challenges for creating reliable forensic training and testing datasets.
  • The double-casting method is a potential replication technique, but its accuracy and variability require thorough characterization.

Purpose of the Study:

  • To characterize the accuracy and variability of the double-casting method for replicating tool marks on fired cartridge cases.
  • To assess the suitability of double-casting for generating training and testing sets in forensic ballistics.

Main Methods:

  • Fired 75 master cartridge cases from three firearms.
  • Created silicone molds and subsequently plastic resin reproductions (double-casts) for each master case.
  • Scanned master cases and double-casts using confocal microscopy to obtain 3D surface data.
  • Analyzed similarity using areal correlation coefficient (ACCFMAX) and congruent matching cells (CMC).

Main Results:

  • Double-casting demonstrated high accuracy in reproducing master cartridge case surfaces.
  • Minimal within-mold variability and low between-mold variability were observed.
  • Objective metrics (ACCFMAX, CMC) and visual examination confirmed the fidelity of the reproductions.

Conclusions:

  • The double-casting method is a viable technique for accurately replicating tool marks on fired cartridge cases.
  • The characterized low variability supports its application in creating standardized training and testing datasets for forensic analysis.
  • This method can enhance the consistency and reliability of forensic ballistics education and validation.