Metal fill profile detection in Lost Foam Casting process using capacitive sensors

W. Deabes, M. Abdelrahman
{"title":"Metal fill profile detection in Lost Foam Casting process using capacitive sensors","authors":"W. Deabes, M. Abdelrahman","doi":"10.1109/SECON.2008.4494324","DOIUrl":null,"url":null,"abstract":"Electrical capacitive tomography (ECT) provides a simple noninvasive and ruggedized visualization technique for acquiring the metal fill profile in lost foam casting process (LFC) process. The mutual capacitance change caused by variation of the grounded metal inside the target area is measured by using an array of capacitive electrodes mounted around a target area. This paper implements a new technique for determining the metal fill profile. The proposed system has been made wireless and using a limited number of measurements which lower the cost of the hardware. An iterative linear back projection (ILBP) technique for reconstructing the metal images is adapted. Experiments are carried using a LFC simulated environment to test the performance of the system. The proposed method is able to detect the position of the metal using only 6 measurements from the sensors. Reconstructed images for the metal profile show the ability of the proposed system to identify the location and amount of the metal inside the foam pattern.","PeriodicalId":188817,"journal":{"name":"IEEE SoutheastCon 2008","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE SoutheastCon 2008","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.2008.4494324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Electrical capacitive tomography (ECT) provides a simple noninvasive and ruggedized visualization technique for acquiring the metal fill profile in lost foam casting process (LFC) process. The mutual capacitance change caused by variation of the grounded metal inside the target area is measured by using an array of capacitive electrodes mounted around a target area. This paper implements a new technique for determining the metal fill profile. The proposed system has been made wireless and using a limited number of measurements which lower the cost of the hardware. An iterative linear back projection (ILBP) technique for reconstructing the metal images is adapted. Experiments are carried using a LFC simulated environment to test the performance of the system. The proposed method is able to detect the position of the metal using only 6 measurements from the sensors. Reconstructed images for the metal profile show the ability of the proposed system to identify the location and amount of the metal inside the foam pattern.
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
电容式传感器在消失模铸造过程中的金属填充轮廓检测
电容层析成像技术(ECT)为获得消失模铸造过程(LFC)中金属填充轮廓提供了一种简单、无创、坚固的可视化技术。通过在目标区域周围安装一组电容电极来测量由目标区域内接地金属的变化引起的互电容变化。本文实现了一种确定金属充填剖面的新技术。所提出的系统已被无线化,并且使用有限数量的测量,从而降低了硬件成本。采用迭代线性反投影(ILBP)技术重建金属图像。在LFC仿真环境下,对系统的性能进行了测试。该方法仅使用传感器的6次测量就能检测到金属的位置。金属轮廓的重建图像表明,所提出的系统能够识别泡沫图案内金属的位置和数量。
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
自引率
0.00%
发文量
0
期刊最新文献
A Web-based interactive Student Advising system using Java frameworks Development of a nanoscale directionally sensitive optical radiation sensor for guidance and control of nanorobotic space exploration systems -the VCELL SVM for automatic rodent sleep-wake classification Low-frequency amplifiers for PVDF film sensors Dynamics and simulation of a space robot in a gravitational field
×
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