TY - JOUR
T1 - Surface roughness as a quantitative approach to use-wear on macrolithic tools
T2 - A comparative analysis
AU - Delgado-Raack, Selina
AU - Menasanch de Tobaruela, Jorge
AU - Bettinardi, Italo
AU - Soldevilla, José Antonio
AU - Risch, Roberto
N1 - Funding Information:
We would like to thank Paloma Miers (Grafinta, Madrid), David Cruz (Grafinta, Madrid), Francisco Núñez (Olympus, Barcelona), and Antoni Calaf (3D Visual, Sabadell) for generating the 3D surface models with different devices. We also thank Paolo Sferrazza (State Office for Heritage and Archaeology Saxony-Anhalt, Halle) and two anonymous reviewers for their valuable comments concerning the quantification of use-wear traces. This research has benefited from the financial support of the Spanish Ministry of Economy, Industry and Competitiveness (PID2020-112909 GB-100), and of the Ministry of Business and Knowledge of the Catalan Government: SGR (2017SGR1044) and ICREA Academia programs (RR).
Publisher Copyright:
© 2022
PY - 2022/12/1
Y1 - 2022/12/1
N2 - 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 quantification of macrolithic tools and compares the results achieved with different 3D modeling devices.
AB - 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 quantification of macrolithic tools and compares the results achieved with different 3D modeling devices.
KW - Confocal microscopy
KW - Laser scanning
KW - Macrolithic artefacts
KW - Photogrammetry
KW - Surface roughness analysis
KW - Use-wear analysis
UR - http://www.scopus.com/inward/record.url?scp=85140785323&partnerID=8YFLogxK
U2 - 10.1016/j.jasrep.2022.103645
DO - 10.1016/j.jasrep.2022.103645
M3 - Article
AN - SCOPUS:85140785323
SN - 2352-409X
VL - 46
JO - Journal of Archaeological Science: Reports
JF - Journal of Archaeological Science: Reports
M1 - 103645
ER -