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Methodology for wear mapping error quantification
Industrial Lubrication and Tribology ( IF 1.5 ) Pub Date : 2020-06-01 , DOI: 10.1108/ilt-08-2019-0354
Tiago Cousseau , Adriano Gonçalves Passos

The purpose of this paper is to propose a methodology to quantify the error on wear volume evaluation using optical interferometry with image analysis (OI+IA), to establish a lower threshold for wear mapping in practical applications.,A three-dimensional surface wear map is quantified by measuring the same area of a surface before and after a wear process using optical interferometry. Then, by subtracting the matching images, the wear map (volume of wear) is obtained. To access the error related to wear mapping, the difference between several consecutive measurements of the same unworn surface was performed and deeply investigated.,The paper shows that the difference between two consecutive measurements of the same unworn surface, which ideally should be zero, is not. Thus, the magnitude of this “wear map” is the error. The main causes of such uncertainties are because of sample motion in a subpixel scale; a combination between surface roughness with the selected resolution; and numerical errors on the relocation process that is used to match the surfaces before subtracting them.,The proposed methodology allows one to define the lower threshold for wear map analysis using OI+IA. To know the limitation of OI+IA for wear mapping prevents misevaluation of the so-called almost-zero-wear.,This paper covers and identifies main uncertainties and numerical errors related to optical interferometry assisted by image analysis for wear mapping. Several other papers deal with uncertainties of OI; however, this paper proposes a simple methodology to evaluate the lower threshold for wear mapping.,The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2019-0354

中文翻译:

磨损映射误差量化方法

本文的目的是提出一种方法来量化使用光学干涉测量和图像分析(OI+IA)评估磨损量的误差,为实际应用中的磨损映射建立一个较低的阈值。,三维表面磨损图通过使用光学干涉测量法在磨损过程之前和之后测量表面的相同面积来量化。然后,通过减去匹配图像,得到磨损图(磨损量)。为了获取与磨损映射相关的误差,对同一未磨损表面的多次连续测量之间的差异进行了深入研究。本文表明,同一未磨损表面的两次连续测量之间的差异(理想情况下应为零)为不是。因此,这个“磨损图”的大小就是误差。造成这种不确定性的主要原因是亚像素尺度的样本运动;表面粗糙度与所选分辨率之间的组合;以及用于在减去表面之前匹配表面的重定位过程中的数值误差。所提出的方法允许人们使用 OI+IA 定义磨损图分析的下限。为了了解 OI+IA 对磨损映射的限制,可以防止对所谓的几乎零磨损的错误评估。本文涵盖并识别了与通过图像分析辅助磨损映射的光学干涉测量相关的主要不确定性和数值误差。其他几篇论文涉及 OI 的不确定性;然而,本文提出了一种简单的方法来评估磨损映射的下限。本文的同行评审历史可在以下网址获得:https://publons。
更新日期:2020-06-01
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