散斑对比法表面粗糙度检测中标定曲线的简单构造与表面粗糙度检测

Q4 Engineering
T. Wada, Shouhei Koyama, H. Ishizawa
{"title":"散斑对比法表面粗糙度检测中标定曲线的简单构造与表面粗糙度检测","authors":"T. Wada, Shouhei Koyama, H. Ishizawa","doi":"10.2150/JIEIJ.190000570","DOIUrl":null,"url":null,"abstract":"The Surface roughness is one of the important factors related to the appearance and performance of products, and the interest is further increased in various kinds of manufacturing.This paper describes a novel method for measuring surface roughness by laser speckle method.In the proposed method, instead of directly fitting with surface roughness and speckle feature amount, indirect parameters are obtained by converting the functional system. The polished metal pieces are used as the sample set.The prediction formula was obtained based on the reference value measured by the conventional method, and the prediction error of the prediction formula was verified by applying the sample of unknown surface roughness. In addition, we confirmed that the prediction accuracy improves by limiting the range for constructing the prediction formula. This method enables us to quickly detect the surface roughness by using a very simple configuration and a simple analysis method. A system that uses the method can be constructed calibration curve of surface roughness.","PeriodicalId":35437,"journal":{"name":"Journal of the Illuminating Engineering Institute of Japan (Shomei Gakkai Shi)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2150/JIEIJ.190000570","citationCount":"0","resultStr":"{\"title\":\"Simple Construction of Calibration Curve and Surface Roughness Detection in Surface Roughness Detection by Speckle Contrast Method\",\"authors\":\"T. Wada, Shouhei Koyama, H. Ishizawa\",\"doi\":\"10.2150/JIEIJ.190000570\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Surface roughness is one of the important factors related to the appearance and performance of products, and the interest is further increased in various kinds of manufacturing.This paper describes a novel method for measuring surface roughness by laser speckle method.In the proposed method, instead of directly fitting with surface roughness and speckle feature amount, indirect parameters are obtained by converting the functional system. The polished metal pieces are used as the sample set.The prediction formula was obtained based on the reference value measured by the conventional method, and the prediction error of the prediction formula was verified by applying the sample of unknown surface roughness. In addition, we confirmed that the prediction accuracy improves by limiting the range for constructing the prediction formula. This method enables us to quickly detect the surface roughness by using a very simple configuration and a simple analysis method. A system that uses the method can be constructed calibration curve of surface roughness.\",\"PeriodicalId\":35437,\"journal\":{\"name\":\"Journal of the Illuminating Engineering Institute of Japan (Shomei Gakkai Shi)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.2150/JIEIJ.190000570\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Illuminating Engineering Institute of Japan (Shomei Gakkai Shi)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2150/JIEIJ.190000570\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Illuminating Engineering Institute of Japan (Shomei Gakkai Shi)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2150/JIEIJ.190000570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

摘要

表面粗糙度是影响产品外观和性能的重要因素之一,人们对各种制造方式的兴趣进一步增加。本文介绍了一种用激光散斑法测量表面粗糙度的新方法。在所提出的方法中,通过转换函数系统来获得间接参数,而不是直接拟合表面粗糙度和散斑特征量。抛光的金属片被用作样品集。基于传统方法测量的参考值获得预测公式,并通过应用未知表面粗糙度的样本验证了预测公式的预测误差。此外,我们证实了通过限制构建预测公式的范围来提高预测精度。这种方法使我们能够通过使用非常简单的配置和简单的分析方法来快速检测表面粗糙度。使用该方法可以构建表面粗糙度的标定曲线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simple Construction of Calibration Curve and Surface Roughness Detection in Surface Roughness Detection by Speckle Contrast Method
The Surface roughness is one of the important factors related to the appearance and performance of products, and the interest is further increased in various kinds of manufacturing.This paper describes a novel method for measuring surface roughness by laser speckle method.In the proposed method, instead of directly fitting with surface roughness and speckle feature amount, indirect parameters are obtained by converting the functional system. The polished metal pieces are used as the sample set.The prediction formula was obtained based on the reference value measured by the conventional method, and the prediction error of the prediction formula was verified by applying the sample of unknown surface roughness. In addition, we confirmed that the prediction accuracy improves by limiting the range for constructing the prediction formula. This method enables us to quickly detect the surface roughness by using a very simple configuration and a simple analysis method. A system that uses the method can be constructed calibration curve of surface roughness.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of the Illuminating Engineering Institute of Japan (Shomei Gakkai Shi)
Journal of the Illuminating Engineering Institute of Japan (Shomei Gakkai Shi) Engineering-Electrical and Electronic Engineering
CiteScore
0.10
自引率
0.00%
发文量
6
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信