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测定单层砂轮工作表面上选定的纹理特征,以跟踪其磨损导致的变化。

Determination of Selected Texture Features on a Single-Layer Grinding Wheel Active Surface for Tracking Their Changes as a Result of Wear.

作者信息

Bazan Anna, Kawalec Andrzej, Rydzak Tomasz, Kubik Paweł, Olko Adam

机构信息

Faculty of Mechanical Engineering and Areonautics, Rzeszow University of Technology, Powstancow Warszawy 12, 35-959 Rzeszow, Poland.

Pratt&Whitney Rzeszow, Hetmańska 120, 35-001 Rzeszow, Poland.

出版信息

Materials (Basel). 2020 Dec 22;14(1):6. doi: 10.3390/ma14010006.

DOI:10.3390/ma14010006
PMID:33375090
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7792803/
Abstract

Measurements of the active surface microgeometry of the grinding wheel by contact and optical methods are commonly used to obtain a cloud of points representing the surface of the examined tool. Parameters that can be determined on the basis of the above-mentioned measurements can be universal parameters, which are commonly used to assess the geometric structure of a surface or parameters taking into account specific properties of the grinding wheel active surface (GWAS) structure. This article proposes a methodology for determining the average level of binder, which allows the definition the cut-off level required to separate from the measurement data: (i) the areas representing grains, (ii) the areas of gumming up of the grinding wheel, and (iii) deep cavities in approximately the same places on the investigated grinding wheel, regardless of the degree of its wear. This, in turn, allows one to track changes in characteristic parameters computed from measurements of texture in the above-mentioned areas due to different GWAS wear processes. The research was based on the analysis of data obtained from measurements of single-layer grinding wheels using the replica technique. The adopted measurement methodology enables measurement of approximately the same (94% coverage) areas of the GWAS at four stages of grinding wheel operation. Errors that were computed related to the determination of the volume of abrasive on the GWAS at various stages of wear using the developed methodology were lower, on average, by 48% compared to the automatic recognition of islands made with a commercial software.

摘要

通过接触法和光学方法测量砂轮的有效表面微观几何形状,通常用于获取代表被检测工具表面的点云。基于上述测量可以确定的参数可以是通用参数,通常用于评估表面的几何结构,或者是考虑砂轮有效表面(GWAS)结构特定属性的参数。本文提出了一种确定粘结剂平均水平的方法,该方法允许从测量数据中定义分离出以下区域所需的截止水平:(i)代表磨粒的区域,(ii)砂轮堵塞区域,以及(iii)被研究砂轮上大致相同位置的深腔,而不管其磨损程度如何。这反过来又允许跟踪由于不同的GWAS磨损过程,从上述区域的纹理测量中计算出的特征参数的变化。该研究基于对使用复制技术测量单层砂轮获得的数据的分析。所采用的测量方法能够在砂轮运行的四个阶段测量GWAS的大致相同(94%覆盖率)的区域。与使用商业软件自动识别磨粒岛相比,使用所开发方法计算的与磨损各阶段GWAS上磨料体积确定相关的误差平均降低了48%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/5b142606aeca/materials-14-00006-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/3414619d8e6b/materials-14-00006-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/834c74c18907/materials-14-00006-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/31fd0d5b2010/materials-14-00006-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/114b393ada7c/materials-14-00006-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/fee8f92cedcd/materials-14-00006-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/e1abab2e85e4/materials-14-00006-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/1850d6b91e6f/materials-14-00006-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/f8dda3280528/materials-14-00006-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/366d941edfdb/materials-14-00006-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/3414619d8e6b/materials-14-00006-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/834c74c18907/materials-14-00006-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/31fd0d5b2010/materials-14-00006-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/961b11595a54/materials-14-00006-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/3d32ecdafdac/materials-14-00006-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f4e/7792803/5b142606aeca/materials-14-00006-g014.jpg

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