Surface roughness as a quantitative approach to use-wear on macrolithic tools: A comparative analysis

被引:9
|
作者
Delgado-Raack, Selina [1 ]
de Tobaruela, Jorge Menasanch
Bettinardi, Italo [2 ]
Soldevilla, Jose Antonio [3 ]
Risch, Roberto [1 ]
机构
[1] Univ Autonoma Barcelona, Dept Prehist, Barcelona, Spain
[2] Studio Associato Bettinardi Cester Archeol, Venice, Italy
[3] State Off Heritage & Archaeol Saxony Anhalt, Halle, Germany
关键词
Use-wear analysis; Surface roughness analysis; Macrolithic artefacts; Confocal microscopy; Laser scanning; Photogrammetry; SCANNING CONFOCAL MICROSCOPY; FOCUS VARIATION MICROSCOPY; STONE TOOLS; MICROWEAR TRACES; QUANTIFICATION; PHOTOGRAMMETRY; MODELS;
D O I
10.1016/j.jasrep.2022.103645
中图分类号
K85 [文物考古];
学科分类号
0601 ;
摘要
Use-wear analysis has been a well-established aspect of the study of artefact biography for decades, and it has recently developed along two different, though complementary methodological paths. While the classical or qualitative approach still relies largely on the experience gained from the combination of experimental tests, tribological principles and visual observation, new attempts try to define quantitative surface signatures. Surface topography and roughness analyses should allow one to associate surfaces to specific uses and warrant comparability and reproducibility of obtained datasets beyond textual descriptions and images. This approach is highly relevant to use-wear studies of macrolithic tools, where different techniques have made use of the available high-resolution devices. However, no systematic approach has been published yet with the aim of evaluating the operating capacity of the different systems and techniques. Consequently, the precision as well as the resolution of the data obtained and the comparability between results is questionable because of the complexity of the available technical options. The present study offers a method for surface roughness quanti-fication of macrolithic tools and compares the results achieved with different 3D modeling devices.
引用
收藏
页数:13
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