.png){kind=icon}
返回
Simple and efficient algorithms for roundness evaluation from the coordinate measurement data
.png){kind=icon}
PRE
AI
DOI：10.1016/j.measurement.2009.10.001.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A common problem of quality control and inspection of circular parts is the measurement of their roundness. Recently, the coordinate measuring machines (CMMs) have been used to measure roundness errors by collecting a large number of points from the profile of the rounded parts to meet the international standards. Direct evaluation of roundness from this large number of pointes is complex and time consuming. Therefore, efficient algorithms should be designed to meet the standards and to simplify and accelerate the computation process. This paper introduces simple and efficient algorithms to evaluate the roundness error from the large number of points obtained by CMMs using three internationally defined methods: Minimum Circumscribed Circle (MCC), Maximum Inscribed Circle (MIC) and Minimum Zone Circles (MZC). A software has been developed using C++ to apply these algorithms on the data obtained by CMMs. The developed algorithms were verified by comparing their results with the results obtained by a commercial instrument and the maximum variation between the two results did not exceed than 2.27%. The efficiency of the introduced algorithms was verified in terms of computation time and the results proved the efficiency of the developed algorithms. (C) 2009 Elsevier Ltd. All rights reserved.
Keyword:
Roundness
Maximum Inscribed Circle
Minimum Circumscribed Circle
Minimum Zone Circles
Coordinate measuring machine
Convex hull
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
暂无机构信息
引用论文
Media and Internet Ownership and Use among Mental Health Outpatients with Serious Mental Illness
PREAI
分享收藏The first catalyst and solvent-free synthesis of 2-arylimidazo[2,1-b][1,3,4]thiadiazoles: a comparative assessment of greenness.png)
RSC Advances
RSC AdvancesIF0
PREAI
分享收藏
查看更多内容