Literature DB >> 36264949

The effect of worked material hardness on stone tool wear.

Alice Rodriguez1, Kaushik Yanamandra2, Lukasz Witek3,4, Zhong Wang3, Rakesh K Behera2, Radu Iovita1,5.   

Abstract

The identification of ancient worked materials is one of the fundamental goals of lithic use wear analysis and one of the most important parts of understanding how stone tools were used in the past. Given the documented overlaps in wear patterns generated by different materials, it is imperative to understand how individual materials' mechanical properties might influence wear formation. Because isolating physical parameters and measuring their change is necessary for such an endeavor, controlled (rather than replicative) experiments combined with objective measurements of surface topography are necessary to better grasp how surface modifications formed on stone tools. Therefore, we used a tribometer to wear natural flint surfaces against five materials (bone, antler, beech wood, spruce wood, and ivory) under the same force, and speed, over one, three, and five hours. The study aimed to test if there is a correlation between surface modifications and the hardness of the worked material. We measured each raw material's hardness using a nano-indentation test, and we compared the surface texture of the flint bits using a 3D optical profilometer. The interfacial detritus powder was analyzed with a scanning electron microscope to look for abraded flint particles. We demonstrate that, contrary to expectation, softer materials, such as wood, create a smoother surface than hard ones, such as ivory.

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Year:  2022        PMID: 36264949      PMCID: PMC9584531          DOI: 10.1371/journal.pone.0276166

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


  9 in total

1.  Complexity and sophistication of Early Middle Paleolithic flint tools revealed through use-wear analysis of tools from Misliya Cave, Mount Carmel, Israel.

Authors:  Iris Groman-Yaroslavski; Yossi Zaidner; Mina Weinstein-Evron
Journal:  J Hum Evol       Date:  2021-04-05       Impact factor: 3.895

2.  Comparison of the structure and mechanical properties of bovine femur bone and antler of the North American elk (Cervus elaphus canadensis).

Authors:  P-Y Chen; A G Stokes; J McKittrick
Journal:  Acta Biomater       Date:  2008-10-02       Impact factor: 8.947

3.  The mechanical properties of red deer antler bone when used in fighting.

Authors:  J D Currey; T Landete-Castillejos; J Estevez; F Ceacero; A Olguin; A Garcia; L Gallego
Journal:  J Exp Biol       Date:  2009-12       Impact factor: 3.312

4.  A practical guide for analysis of nanoindentation data.

Authors:  Michelle L Oyen; Robert F Cook
Journal:  J Mech Behav Biomed Mater       Date:  2008-10-15

5.  Time wears on: Assessing how bone wears using 3D surface texture analysis.

Authors:  Naomi L Martisius; Isabelle Sidéra; Mark N Grote; Teresa E Steele; Shannon P McPherron; Ellen Schulz-Kornas
Journal:  PLoS One       Date:  2018-11-07       Impact factor: 3.240

6.  Mammoth ivory was the most suitable osseous raw material for the production of Late Pleistocene big game projectile points.

Authors:  Sebastian J Pfeifer; Wolfram L Hartramph; Ralf-Dietrich Kahlke; Frank A Müller
Journal:  Sci Rep       Date:  2019-02-19       Impact factor: 4.379

7.  The mineralogy and structure of use-wear polish on chert.

Authors:  Patrick Schmidt; Alice Rodriguez; Kaushik Yanamandra; Rakesh K Behera; Radu Iovita
Journal:  Sci Rep       Date:  2020-12-09       Impact factor: 4.379

8.  Polish is quantitatively different on quartzite flakes used on different worked materials.

Authors:  Antonella Pedergnana; Ivan Calandra; Adrian A Evans; Konstantin Bob; Andreas Hildebrandt; Andreu Ollé
Journal:  PLoS One       Date:  2020-12-03       Impact factor: 3.240

9.  Dynamic Monitoring Reveals Motor Task Characteristics in Prehistoric Technical Gestures.

Authors:  Johannes Pfleging; Marius Stücheli; Radu Iovita; Jonas Buchli
Journal:  PLoS One       Date:  2015-08-18       Impact factor: 3.240

  9 in total

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