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对更好的地砖表面形貌测量指标的需求:传统测量指标与鞋底-地面摩擦力的相关性仅为中等程度。

The need for better metrics for floor-tile topography: Conventional metrics correlate only modestly with shoe-floor friction.

作者信息

Randolph Anna B, Reifler Ky, Chadha Vimanyu, Jacobs Tevis D B, Beschorner Kurt E

机构信息

Department of Bioengineering, University of Pittsburgh, 3700 O'Hara St., Benedum Hall Room 302, Pittsburgh, PA 15261.

Department of Mechanical Engineering and Materials Science, University of Pittsburgh, 3700 O'Hara St., Benedum Hall Room 636, Pittsburgh, PA 15261.

出版信息

Tribol Int. 2024 May;193. doi: 10.1016/j.triboint.2024.109366.

Abstract

Roughness metrics measured with stylus profilometry are commonly used to explain a floor's friction performance, yet these metrics inconsistently predict shoe-floor friction. While strong correlations have been shown for systematically modified flooring, the goal of this study is to address a gap regarding the predictive ability of these metrics across heterogeneous porcelain flooring products. The predictive ability of four roughness metrics on oily friction performance was assessed using 23 floors and 4 shoe designs. Roughness was moderately correlated with friction (r ranged from 0.374 to 0.760). These results are a reference point for future studies that aim to improve predictions using novel surface characterization approaches that include multiple scales.

摘要

用触针轮廓仪测量的粗糙度指标通常用于解释地板的摩擦性能,但这些指标并不能始终如一地预测鞋底与地板之间的摩擦力。虽然已表明系统改性地板的粗糙度指标与摩擦力有很强的相关性,但本研究的目的是填补这些指标在不同种类瓷砖地板产品预测能力方面的空白。使用23种地板和4种鞋底设计评估了四种粗糙度指标对油性摩擦性能的预测能力。粗糙度与摩擦力呈中等程度的相关性(r值范围为0.374至0.760)。这些结果为未来旨在利用包括多尺度的新型表面表征方法改进预测的研究提供了参考点。

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Prediction of coefficient of friction based on footwear outsole features.基于鞋底特征预测摩擦系数。
Appl Ergon. 2020 Jan;82:102963. doi: 10.1016/j.apergo.2019.102963. Epub 2019 Nov 1.

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