Simple Construction of Calibration Curve and Surface Roughness Detection in Surface Roughness Detection by Speckle Contrast Method

T. Wada, Shouhei Koyama, H. Ishizawa
{"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}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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
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。
求助全文
约1分钟内获得全文 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
期刊最新文献
積分球による全光束測定における内部空間応答度分布関数の影響 Study on Alerting Effects Based on Road-Projection of Direction-Indicator Inactivation of Coronavirus OC43 by Excimer Lamp, UV Lamp, and Deep UV-LED at Irradiation Wavelengths of 222 nm, 254 nm, and 275 nm 反対色応答関数を基とした色認識特性モデルによる照度レベルに応じた薄明視下の色の見えの分析 Development and Verification of Edge Detection Method Based on Neurophysiology-based Models—Application to Visibility Evaluation in Tunnels—
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1