.png){kind=icon}
返回
Micro scale surface texture characterization of technical structures by computer vision
.png){kind=icon}
PRE
AI
DOI：10.1016/j.measurement.2013.02.012.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Surface roughness is usually a technical prerequisite for engineering products and one of the most used significant technical index of product quality. The assessments of a mechanical part are of great importance to achieve the desired surface quality for functional performance in practice. On the other hand, the mechanism behind the formation of surface roughness is very complicated and process dependent, therefore it is very difficult to calculate its value through analytical formula simply since surface roughness is affected by many factors like feed, cutting speed and tool geometry. In this study, three workpieces were produced by conventional machining techniques. These techniques were face turning, front milling and grinding. The measurements were carried out using the confocal laser scanning type microscope. The images captured by optical measurement techniques for measuring surface roughness were analyzed by using three image processing techniques. These were line scanning, speckle and Fast Fourier Transform (FFT). Then the obtained results from images for determining roughness were compared with those obtained results from both the infinite focus microscope and the confocal laser scanning type microscope. The results from image analysis indicated that FFT analysis represented the surface roughness variation with high correlation (R-2 = 0.91). (c) 2013 Elsevier Ltd. All rights reserved.
Keyword:
Image processing
Surface roughness
Comparative study
3D optical methods
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.6
论文数:
2.0W
被引数:
5.4W
机构
引用论文
Body Mass and Antler Development Patterns of Rocky Mountain Elk (Cervus elaphus nelsoni) in Michigan
PREAI
分享收藏Motivation Perspectives on Opening up Municipality Data: Does Municipality Size Matter?.png)
Information
OAAI
InformationIF0
OAAI分享收藏Investigations on machined metal surfaces through the stylus type and optical 3D instruments and their mathematical modeling with the help of statistical techniquesMEASUREMENT
MEASUREMENTIF5.6
PREAI
分享收藏分享收藏Evaluation of surface roughness based on monochromatic speckle correlation using image processing
PREAI
分享收藏
查看更多内容