A Method for Matching Fractured Surfaces using Shadow Profilometry
Characterization of fractured surfaces is of interest to forensic scientists because the measurements can be used to investigate if two fractured surfaces have originated from a single common item, thus allowing the scientists to reconstruct shattered objects and structures. Fracture surfaces of object fragments that failed in tension under load or were torn apart because of explosive forces will have essentially matching surfaces. This paper presents an inexpensive technique for constructing a digital image of a three dimensional surface via two dimensional slices of very small objects using shadow profilometry. This method preserves minor details so that measurements can be made to characterize each surface and calculate the likelihood that the two surfaces were disjointed. Samples were created by using a load frame to pull apart round, square, and rectangular rods of various materials, such as high and low carbon steel, aluminium, brass, and copper. Other samples were created by blasting. Various methods and algorithms utilizing optical microscopy, shadow profilometry, and digital image processing were developed to characterize two fracture surfaces to determine if they originated from a single common object.
N. H. Maerz and M. G. Hilgers, "A Method for Matching Fractured Surfaces using Shadow Profilometry," Proceedings of the 3rd International Conference on Tribology and Design (2010, Algarve, Portugal), vol. 66, pp. 237 - 248, WIT Press, May 2010.
The definitive version is available at https://doi.org/10.2495/TD100201
3rd International Conference on Tribology and Design (2010: May 11-13, Algarve, Portugal)
Geosciences and Geological and Petroleum Engineering
Business and Information Technology
Keywords and Phrases
Forensic Investigations; Shadow Profilometry; Surface Characterization; Surface Roughness; Digital Image Processing; Explosive Force; Forensic Scientists; Fractured Surfaces; Load Frames; Object Fragments; Rectangular Rods; Shadow Profilometry; Small Objects; Image Processing; Low Carbon Steel; Optical Data Processing; Optical Microscopy; Profilometry; Surface Properties; Tensile Strength; Tribology; Two Dimensional; Surface Roughness
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Article - Conference proceedings
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01 May 2010