Abstract
Many studies have shown that micro-wear analysis can identify some parameters such as worked material and motion direction with varying degrees of success. However, because experiments have traditionally been carried out by un-monitored humans, we do not fully understand the role of force in wear formation. Here, we compare the amount of wear produced by duration vs. applied force in a controlled experiment and using both the inspection of optical images and quantitative parameters describing surface topography. We used flint flakes attached to a force/torque controllable robot arm to scrape standardized beech wooden planks under constant force profiles. The force profiles were obtained by previous experiments in scraping described by Pfleging et al. (PLoS One 10, Pfleging et al. 2015). We varied the force level and use duration among the experiments. Worn pieces were imaged with an Alicona InfiniteFocus G4 microscope and the polished parts of the flakes were analyzed using areal field parameters from metrology. The data is publicly available on the internet. Results indicate that use duration contributes more significantly to polish formation than force, confirming assumptions made in human experiments performed in the 1980s. Moreover, simple metrological height parameters appear inadequate for capturing the degree of polish. We conclude that more sophisticated quantitative methods are required to go beyond the subjective human evaluation of optical images to reconstruct past human action.
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Notes
Often, kilogram is used to express the equivalent mass necessary to generate a certain force under gravity. However, we refer directly to force and therefore we use the unit, Newton (N), since it is the SI standard for that dimension. One kilogram corresponds to 9.81 N.
References
Anderson PC, Georges J-M, Vargiolu R, Zahouani H (2006) Insights from a tribological analysis of the tribulum. J Archaeol Sci 33:1559–1568. https://doi.org/10.1016/j.jas.2006.02.011
Astruc L, Vargiolu R, Zahouani H (2003) Wear assessments of prehistoric instruments. Wear 255:341–347. https://doi.org/10.1016/S0043-1648(03)00173-X
Brown CA, Charles PD, Johnsen WA, Chesters S (1993) Fractal analysis of topographic data by the patchwork method. Wear 161:61–67. https://doi.org/10.1016/0043-1648(93)90453-S
Collins S (2008) Experimental investigations into edge performance and its implications for stone artefact reduction modelling. J Archaeol Sci 35:2164–2170. https://doi.org/10.1016/j.jas.2008.01.017
Danzl R, Helmli F, Scherer S (2011) Focus variation – a robust technology for high resolution optical 3D surface metrology. Stroj Vestn – J Mech Eng 2011:245–256. https://doi.org/10.5545/sv-jme.2010.175
Dubreuil L, Savage D, Delgado-Raack S, Plisson H, Stephenson B, Torre I de la (2015) Current analytical frameworks for studies of use–wear on ground stone tools. In: Marreiros JM, Bao JFG, Bicho NF (eds.) Use-Wear and residue analysis in archaeology. Springer international publishing, pp. 105–158
Evans AA, Donahue RE (2008) Laser scanning confocal microscopy: a potential technique for the study of lithic microwear. J Archaeol Sci 35:2223–2230. https://doi.org/10.1016/j.jas.2008.02.006
Evans AA, Macdonald D (2011) Using metrology in early prehistoric stone tool research: further work and a brief instrument comparison. Scanning 33:294–303. https://doi.org/10.1002/sca.20272
Evans AA, Macdonald DA, Giusca CL, Leach RK (2014) New method development in prehistoric stone tool research: evaluating use duration and data analysis protocols. Micron 65:69–75. https://doi.org/10.1016/j.micron.2014.04.006
Faulks NR, Kimball LR, Hidjrati N, Coffey TS (2011) Atomic force microscopy of microwear traces on Mousterian tools from Myshtylagty Lagat (Weasel Cave), Russia. Scanning 33:304–315. https://doi.org/10.1002/sca.20273
Hogan N (1984) Impedance control: an approach to manipulation. In: 1984 American control conference. pp. 304–313
Key AJM (2013) Applied force as a determining factor in lithic use-wear accrual: an experimental investigation of its validity as a method with which to infer hominin upper limb biomechanics. Lithic Technol 38:32–45. https://doi.org/10.1179/0197726113Z.0000000001
Key AJM, Stemp WJ, Morozov M, Proffitt T, de la Torre I (2015) Is loading a significantly influential factor in the development of lithic microwear? An experimental test using LSCM on basalt from Olduvai Gorge. J Archaeol Method Theory 22:1193–1214. https://doi.org/10.1007/s10816-014-9224-9
Leach R (2013) Characterisation of areal surface texture. Springer Berlin Heidelberg, Berlin, Heidelberg
Lerner H, Du X, Costopoulos A, Ostoja-Starzewski M (2007) Lithic raw material physical properties and use-wear accrual. J Archaeol Sci 34:711–722. https://doi.org/10.1016/j.jas.2006.07.009
Lewis R, Tsoraki C, Broughton J, Cripps JC, Afodun SA, Slatter T, Roubos V (2011) Abrasive and impact wear of stone used to manufacture axes in Neolithic Greece. Wear 271:2549–2560. https://doi.org/10.1016/j.wear.2010.12.074
Macdonald DA (2014) The application of focus variation microscopy for lithic use-wear quantification. J Archaeol Sci 48:26–33. https://doi.org/10.1016/j.jas.2013.10.003
Pfleging J, Stücheli M, Iovita R, Buchli J (2015) Dynamic monitoring reveals motor task characteristics in prehistoric technical gestures. PLoS One 10:e0134570. https://doi.org/10.1371/journal.pone.0134570
Pfleging J, Iovita R, Buchli J (2017) Micro-wear data from robotic use-wear experiments on force. Zenodo. https://doi.org/10.5281/zenodo.1117873
Scott RS, Ungar PS, Bergstrom TS, Brown CA, Grine FE, Teaford MF, Walker A (2005) Dental microwear texture analysis shows within-species diet variability in fossil hominins. Nature 436:693–695. https://doi.org/10.1038/nature03822
Semenov SA (1964) Prehistoric technology: an experimental study of the oldest tools and artefacts form traces of manufacture and wear. Cory, Adams & Mackay, London
Siegmann S, Brown CA (1997) Scale-sensitive fractal analysis for understanding the influence of substrate toughness in therman spraying. In: Thermal Spray: A United Forum for Scientific and Technological Advances. pp. 665–570
Stemp WJ, Chung S (2011) Discrimination of surface wear on obsidian tools using LSCM and RelA: pilot study results (area-scale analysis of obsidian tool surfaces). Scanning 33:279–293. https://doi.org/10.1002/sca.20250
Stemp WJ, Childs BE, Vionnet S, Brown CA (2009) Quantification and discrimination of lithic use-wear: surface profile measurements and length-scale fractal analysis. Archaeometry 51:366–382. https://doi.org/10.1111/j.1475-4754.2008.00404.x
Stemp WJ, Childs BE, Vionnet S (2010) Laser profilometry and length-scale analysis of stone tools: second series experiment results. Scanning 32:233–243. https://doi.org/10.1002/sca.20200
Stemp WJ, Lerner HJ, Kristant EH (2013) Quantifying microwear on experimental Mistassini quartzite scrapers: preliminary results of exploratory research using LSCM and scale-sensitive fractal analysis: quantifying microwear on experimental Mistassini quartzite scrapers. Scanning 35:28–39. https://doi.org/10.1002/sca.21032
Stemp WJ, Morozov M, Key AJM (2015) Quantifying lithic microwear with load variation on experimental basalt flakes using LSCM and area-scale fractal complexity (Asfc). Surf Topogr Metrol Prop 3:034006. https://doi.org/10.1088/2051-672X/3/3/034006
Stevens NE, Harro DR, Hicklin A (2010) Practical quantitative lithic use-wear analysis using multiple classifiers. J Archaeol Sci 37:2671–2678. https://doi.org/10.1016/j.jas.2010.06.004
Tomenchuk J (1985) The development of a wholly parametric use-wear methodology and its application. University of Toronto
Vargiolu R, Zahouani H, Anderson PC (2003) Étude tribologique du processus d’usure des lames de silex et fonctionnement du tribulum. In: Le Traitment Des Récoltes: Un Regard Sur La Diversité, Du Néolithique Au Présent. pp. 439–54
Acknowledgements
The authors thank Martin Street (Römisch-Germanisches Zentralmuseum, MONREPOS Archäologisches Forschungszentrum, Neuwied, Germany) for help with knapping the stone tools. The authors further thank Mike Lyrenmann (ITA, ETH Zürich) for supporting the set-up design, ETH Zürich carpentry for providing the workpieces, Karl and Maren of Prof. Uwe Sauers group (IMSB, ETH Zürich) for providing facilities and help with the chemical cleaning, Prof. Robert Flatt and Asel Maria Aguilar Sanchez (IfB, ETH Zürich) for supporting the microscopy, Dr. Robert Voss (IWF, ETH Zürich) and Constantin Herbst for help with the Alicona microscope, Daniel Seidel (Deutsches Institut für Luft und Raumfahrt) for providing example code of the KUKA API, Prof. James Stemp for providing image test data and advice, John D’Errico for his MATLAB interpolation function, and Francesco Bocale (KUKA Roboter Schweiz AG) for supporting the robot arm. Finally, we like to thank our colleagues from the Agile & Dexterous Robotics Lab, ETH Zürich for general suggestions and help during the project.
Funding
This research has been supported by the Swiss National Science Foundation through a Professorship Award to Jonas Buchli (www.snf.ch) and by Research Grants of ETH Zürich (www.ethz.ch), ETH-36 14-1 (JB/JP).
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Table of experimental parameters of each trial sorted by flake-sample ID. The columns are FlakeID: unique identifier of the flake sample; TrialID: unique identifier of the trial; ForceLevel: value of the vertical force in Newton applied during the trial; NumStrokes: number of scraping strokes executed during the trial; and NumMeasurements: number of topographic images of the flake sample taken under the microscope after the trial was finished. (XLSX 9.63 kb)
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Pfleging, J., Iovita, R. & Buchli, J. Influence of force and duration on stone tool wear: results from experiments with a force-controlled robot. Archaeol Anthropol Sci 11, 5921–5935 (2019). https://doi.org/10.1007/s12520-018-0729-0
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DOI: https://doi.org/10.1007/s12520-018-0729-0