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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.

DOI:10.1016/j.triboint.2024.109366
PMID:39781403
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11708304/
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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本文引用的文献

1
Friction performance of resilient flooring under contaminant conditions relevant to healthcare settings.与医疗环境相关的污染物条件下弹性地板的摩擦性能。
Appl Ergon. 2023 Apr;108:103960. doi: 10.1016/j.apergo.2022.103960. Epub 2023 Jan 5.
2
Validating the ability of a portable shoe-floor friction testing device, NextSTEPS, to predict human slips.验证便携式鞋底摩擦测试设备 NextSTEPS 预测人体滑倒能力的有效性。
Appl Ergon. 2023 Jan;106:103854. doi: 10.1016/j.apergo.2022.103854. Epub 2022 Aug 13.
3
Dependence of adhesive friction on surface roughness and elastic modulus.粘着摩擦对表面粗糙度和弹性模量的依赖性。
Soft Matter. 2022 Aug 10;18(31):5843-5849. doi: 10.1039/d2sm00163b.
4
In contrast to slip-resistant shoes, fluid drainage capacity explains friction performance across shoes that are not slip-resistant.与防滑鞋不同,流体排水能力解释了不防滑的鞋子的摩擦性能。
Appl Ergon. 2022 Apr;100:103663. doi: 10.1016/j.apergo.2021.103663. Epub 2021 Dec 8.
5
Predicting Hydrodynamic Conditions under Worn Shoes using the Tapered-Wedge Solution of Reynolds Equation.使用雷诺方程的锥形楔解法预测旧鞋下的流体动力学条件。
Tribol Int. 2020 May;145. doi: 10.1016/j.triboint.2020.106161. Epub 2020 Jan 8.
6
Reducing fall risk for home care workers with slip resistant winter footwear.为家庭护理人员配备防滑冬季鞋具以降低跌倒风险。
Appl Ergon. 2021 Jan;90:103230. doi: 10.1016/j.apergo.2020.103230. Epub 2020 Aug 25.
7
Worn region size of shoe outsole impacts human slips: Testing a mechanistic model.鞋底磨损区域的大小会影响人类滑倒:验证一个机械模型。
J Biomech. 2020 May 22;105:109797. doi: 10.1016/j.jbiomech.2020.109797. Epub 2020 Apr 18.
8
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.
9
Influence of averaging time-interval on shoe-floor-contaminant available coefficient of friction measurements.平均时间间隔对鞋底污染物有效摩擦系数测量的影响。
Appl Ergon. 2020 Jan;82:102959. doi: 10.1016/j.apergo.2019.102959. Epub 2019 Sep 27.
10
Changes in under-shoe traction and fluid drainage for progressively worn shoe tread.鞋底牵引力和鞋底磨损时的流体排水的变化。
Appl Ergon. 2019 Oct;80:35-42. doi: 10.1016/j.apergo.2019.04.014. Epub 2019 May 15.