Defect Detection and Full Surface Characterization of High Curvature Cathode Filaments

Dingrong Yi, Cai-hong Huang, Jing-fang Xie, Yuhan Cai, Yong Qian, Ling-hua Kong
{"title":"Defect Detection and Full Surface Characterization of High Curvature Cathode Filaments","authors":"Dingrong Yi, Cai-hong Huang, Jing-fang Xie, Yuhan Cai, Yong Qian, Ling-hua Kong","doi":"10.2991/MASTA-19.2019.48","DOIUrl":null,"url":null,"abstract":"Surface defects of cathode filaments of microwave magnetron would cause magnetron failure and scrapped microwave systems. Therefore, surface defects on cathode filaments must be carefully inspected. Conventionally, filaments are manually and visually inspected using their amplified images under an optical microscope. This is because automatic defect detection of cathode filaments is a challenging problem. The difficulty comings from its complex surface shape with multiple turns of high curvature spiral circles, which occlude each other. Such complex shape prevents capturing of sharp focusing images, which are essential for a computerized automatic detection algorithm. Further, the variable nature of production defects complicated the process of automatic defect detection task. To solve these problems, this paper proposes an automatic defect detection method to deal with issues related to complex shapes containing occlusions as well as high curvatures, particularly for the quality inspection of spiral shaped cathode filaments. The method includes a novel digital scanner, which sequentially brings all sections of the filament sides into sharp focusing of the optical imaging system. The method also employs multiple optical systems to imaging multi-sides of the spiral filament. The computational algorithm primarily uses line-detectors. In an evaluation experiment, the proposed method was used to automatically inspect over 14 million cathode filaments. Experimental results indicate that its false negative rate was 0.0065%, and its false positive rate was 6.83%. This indicates that the proposed method could successfully detect all kinds of surface defects at over 99.99% accuracy. It reduces the workload for manual inspection from 100% down to 93.17%, over an order of magnitude reduction. Further, the efficiency of the proposed method is 70 spiral filaments per minute, satisfying the requirements of online quality detection of existing manufacturing lines of filament cathodes. Introduction Cathode magnetron are widely used in both military applications1,2 as well as household microwaves3,4. The core of a cathode magnetron is the cathode filament, which is typically made of thorium tungsten or barium-tungsten alloy. When excited at a high voltage, the cathode filament of a magnetron cathode within a microwave oven would generate Tera Hertz frequency microwaves causing water molecules to move, vibrate, and bump into other food molecules at high frequencies. In this way, the filament inside a cathode converts electromagnetic energy into heat, which is quickly absorbed by the food. Therefore, the filament within a cathode magnetron is the core component of a microwave oven. Though the chemical composition of the cathode filament determines the escape power, emission stability, and lifespan of a microwave oven. However, when the chemical composition is optimized and fixed, the manufacturing quality of the cathode filament determines the International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Intelligent Systems Research, volume 168","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"295 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/MASTA-19.2019.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Surface defects of cathode filaments of microwave magnetron would cause magnetron failure and scrapped microwave systems. Therefore, surface defects on cathode filaments must be carefully inspected. Conventionally, filaments are manually and visually inspected using their amplified images under an optical microscope. This is because automatic defect detection of cathode filaments is a challenging problem. The difficulty comings from its complex surface shape with multiple turns of high curvature spiral circles, which occlude each other. Such complex shape prevents capturing of sharp focusing images, which are essential for a computerized automatic detection algorithm. Further, the variable nature of production defects complicated the process of automatic defect detection task. To solve these problems, this paper proposes an automatic defect detection method to deal with issues related to complex shapes containing occlusions as well as high curvatures, particularly for the quality inspection of spiral shaped cathode filaments. The method includes a novel digital scanner, which sequentially brings all sections of the filament sides into sharp focusing of the optical imaging system. The method also employs multiple optical systems to imaging multi-sides of the spiral filament. The computational algorithm primarily uses line-detectors. In an evaluation experiment, the proposed method was used to automatically inspect over 14 million cathode filaments. Experimental results indicate that its false negative rate was 0.0065%, and its false positive rate was 6.83%. This indicates that the proposed method could successfully detect all kinds of surface defects at over 99.99% accuracy. It reduces the workload for manual inspection from 100% down to 93.17%, over an order of magnitude reduction. Further, the efficiency of the proposed method is 70 spiral filaments per minute, satisfying the requirements of online quality detection of existing manufacturing lines of filament cathodes. Introduction Cathode magnetron are widely used in both military applications1,2 as well as household microwaves3,4. The core of a cathode magnetron is the cathode filament, which is typically made of thorium tungsten or barium-tungsten alloy. When excited at a high voltage, the cathode filament of a magnetron cathode within a microwave oven would generate Tera Hertz frequency microwaves causing water molecules to move, vibrate, and bump into other food molecules at high frequencies. In this way, the filament inside a cathode converts electromagnetic energy into heat, which is quickly absorbed by the food. Therefore, the filament within a cathode magnetron is the core component of a microwave oven. Though the chemical composition of the cathode filament determines the escape power, emission stability, and lifespan of a microwave oven. However, when the chemical composition is optimized and fixed, the manufacturing quality of the cathode filament determines the International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Intelligent Systems Research, volume 168
高曲率阴极细丝的缺陷检测与全表面表征
微波磁控管阴极细丝的表面缺陷会导致磁控管失效和微波系统报废。因此,必须仔细检查阴极细丝的表面缺陷。传统上,细丝是在光学显微镜下使用其放大图像进行人工和目视检查的。这是因为阴极细丝的自动缺陷检测是一个具有挑战性的问题。其难点在于曲面形状复杂,多圈高曲率螺旋圆相互遮挡。这种复杂的形状妨碍捕捉锐利聚焦的图像,而这对于计算机自动检测算法是必不可少的。此外,产品缺陷的可变特性使缺陷自动检测任务的过程变得复杂。为了解决这些问题,本文提出了一种自动缺陷检测方法,以处理含有遮挡的复杂形状和高曲率的问题,特别是螺旋形阴极细丝的质量检测。该方法包括一个新颖的数字扫描仪,它依次将灯丝侧面的所有部分带入光学成像系统的锐利聚焦。该方法还采用多个光学系统对螺旋灯丝的多个侧面进行成像。计算算法主要使用线检测器。在一次评价实验中,采用该方法对1400多万根阴极灯丝进行了自动检测。实验结果表明,该方法的假阴性率为0.0065%,假阳性率为6.83%。这表明,该方法可以成功地检测出各种表面缺陷,准确率超过99.99%。它将人工检查的工作量从100%降低到93.17%,减少了一个数量级以上。此外,该方法的效率为70螺旋灯丝/分钟,满足现有灯丝阴极生产线在线质量检测的要求。阴极磁控管广泛应用于军事领域1,2以及家用微波领域3,4。阴极磁控管的核心是阴极灯丝,它通常由钍钨或钡钨合金制成。当在高压下激发时,微波炉中的磁控管阴极的阴极灯丝会产生Tera赫兹频率的微波,导致水分子在高频下移动、振动并撞击其他食物分子。通过这种方式,阴极内的灯丝将电磁能转化为热量,并迅速被食物吸收。因此,阴极磁控管内的灯丝是微波炉的核心部件。虽然阴极灯丝的化学成分决定了微波炉的逃逸功率、发射稳定性和寿命。然而,当化学成分得到优化和固定时,阴极灯丝的制造质量决定了建模、分析、仿真技术与应用国际会议(MASTA 2019)版权所有©2019,作者。亚特兰蒂斯出版社出版。这是一篇基于CC BY-NC许可(http://creativecommons.org/licenses/by-nc/4.0/)的开放获取文章。智能系统研究进展,第168卷
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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