A review of quantification of lithic use-wear using laser profilometry: a method based on metrology and fractal analysis

Stemp, W. James

doi:10.1016/j.jas.2013.04.027

Cited by 56 publications

(37 citation statements)

References 64 publications

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“…; Vargiolu et al . ), laser profilometry (Stemp ), atomic force microscopy (AFM) (Faulks et al . ) and focus variation microscopy (FVM) (Macdonald ), this research project relied on laser scanning confocal microscopy (LSCM) (Evans and Donahue ), specifically the Olympus LEXT OLS4000 laser scanning confocal microscope (LSCM).…”

Section: Mathematical Surface Documentationmentioning

confidence: 99%

“…; Ibañez et al . ; Macdonald ; Stemp ) should also be tested on tools made of quartzite. These methods should not only include the technology used to measure surface roughness (e.g., interferometry, profilometry, confocal microscopy), but also the algorithms needed to assess the surface data effectively and reliably.…”

Section: Introductionmentioning

confidence: 99%

“…Given these differences in microwear formation and features on quartzite, the continued development of methods that can accurately document and discriminate wear on tools made from this material would be valuable. Specifically, methods to quantify microwear on flint, chert and obsidian tools (e.g., Stemp andStemp 2001, 2003;Evans and Donahue 2008, Stemp et al 2009, 2015bStevens et al 2010, Evans andMacdonald 2011;Stemp and Chung 2011;Evans et al 2014;Ibañez et al 2014;Macdonald 2014;Stemp 2014) should also be tested on tools made of quartzite. These methods should not only include the technology used to measure surface roughness (e.g., interferometry, profilometry, confocal microscopy), but also the algorithms needed to assess the surface data effectively and reliably.…”

Section: Introductionmentioning

confidence: 99%

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Testing Area‐Scale Fractal Complexity (Asfc) and Laser Scanning Confocal Microscopy (LSCM) to Document and Discriminate Microwear on Experimental Quartzite Scrapers

2017

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Few microwear studies have been conducted on tools made from quartzite. Most rely on visual observation of microwear features using optical light microscopes and scanning electron microscopes. Quantification of microwear on quartzite tools is extremely rare, even though numerous methods to mathematically document surface roughness have been applied to other silicate tools. In this paper, laser scanning confocal microscopy (LSCM) was used to document surface roughness on four experimental scrapers made from two different subtypes of Mistassini quartzite that were used on either fresh or dry deer hide. Surface roughness data were analysed using area‐scale fractal complexity (Asfc). The results of this test case indicate that Asfc can effectively discriminate between the unused and used regions on the quartzite tools based on surface roughness, and that it can also discriminate between surface roughness produced by working dry versus fresh hides. Differences in the subtypes of Mistassini quartzite did affect surface roughness, but not significantly enough to prevent discrimination of the dry and fresh hide‐working tools. Although the use of the Asfc parameter for lithic microwear analysis requires further testing, these first results suggest it could be a reliable technique to mathematically document and discriminate wear patterns on archaeological quartzite tools.

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Section: Mathematical Surface Documentationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Testing Area‐Scale Fractal Complexity (Asfc) and Laser Scanning Confocal Microscopy (LSCM) to Document and Discriminate Microwear on Experimental Quartzite Scrapers

2017

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“…It is independent of the length scale of the roughness, the measuring instrument, and the magnification on the instrument resolution. Few studies are interested in understanding the fractal behavior of worn surfaces (Bigerelle,et al (36); Li (37); Stemp (38)). Most of these studies have focused on 2D fractal analyses.…”

Section: D Fractal Analyses Of Worn Surfacesmentioning

confidence: 99%

Friction and Wear Mechanisms of 316L Stainless Steel in Dry Sliding Contact: Effect of Abrasive Particle Size

Jourani

Bouvier

2014

Tribology Transactions

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The present work investigates the dry sliding friction and wear behavior of 316L austenitic stainless steel. Wear tests are performed on a pin-on-plane configuration against abrasive silicon carbide grains ranging from very large (200 mm) to small (15 mm) particles. The experiments are conducted at room temperature under different normal loads of 25-75 N. The wear damage mechanisms and wear debris are analysed using scanning electron microscope (SEM) observations. It is shown that for small abrasive particles, the friction coefficients increase with increasing normal load. However, for large abrasive particles, a reverse trend is observed. This difference is partly explained by a change in wear mechanisms.Finally, surface roughness measurment of the worn surfaces are performed after wear tests. The relationship between the 3D fractal dimension and wear rate is investigated based on fractal theory. The 3D fractal analysis of the worn surfaces showed that higher values of fractal dimensions indicate a larger real contact area and therefore a better wear resistance of the 316L stainless steel.

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“…The fractal dimension is identified as an intrinsic property of such a multiscale structure and the Weierstrass-Mandelbrot (W-M) fractal function is used to introduce a simple method of roughness characterization [22,23]. Fractal analysis [24][25][26], an effective tool for friction and wear behavior of the contact surface [27], could provide new insights for surface analysis and characterization for ultrasonic motors.…”

Section: Introductionmentioning

confidence: 99%

Wear Characteristics of Metallic Counterparts under Elliptical-Locus Ultrasonic Vibration

Zhang

Wang

2016

Applied Sciences

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Wear behavior is influential to improve friction drive and wear lifespan of actuators or motors, which work at an elliptical locus vibration. Sliding wear tests of metallic friction pairs are conducted by a laboratory rig of ultrasonic vibration. Surfaces of the different metallic sliders are characterized using surface roughness, Abbott curves and fractal dimension. Results show that surface roughness is reduced to varying degrees in the metallic sliders due to ultrasonic polishing and/or micro-rolling effect. Variations in the fractal dimensions of contact surfaces are consistent with that of surface roughness. Wear traces demonstrate that plastic deformation and cracking are the primary failure modes. Where the driving tip on the slider is in intermittent contact followed by impact effects, ripples of 3~5 µm traces suggest the occurrence of fretting in duralumin sliders. Nodular cast iron showed a favorable performance during running of ultrasonic motor, exhibiting a stable output performance and durable wear life.

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A review of quantification of lithic use-wear using laser profilometry: a method based on metrology and fractal analysis

Cited by 56 publications

References 64 publications

Testing Area‐Scale Fractal Complexity (Asfc) and Laser Scanning Confocal Microscopy (LSCM) to Document and Discriminate Microwear on Experimental Quartzite Scrapers

Testing Area‐Scale Fractal Complexity (Asfc) and Laser Scanning Confocal Microscopy (LSCM) to Document and Discriminate Microwear on Experimental Quartzite Scrapers

Friction and Wear Mechanisms of 316L Stainless Steel in Dry Sliding Contact: Effect of Abrasive Particle Size

Wear Characteristics of Metallic Counterparts under Elliptical-Locus Ultrasonic Vibration

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