飞机结构件高速铣削过程中刀具磨损的实时监测

B. Pang, Shijie Guo, Jing-Lei Wang, Hai-Bin Li
{"title":"飞机结构件高速铣削过程中刀具磨损的实时监测","authors":"B. Pang, Shijie Guo, Jing-Lei Wang, Hai-Bin Li","doi":"10.1109/QR2MSE46217.2019.9021242","DOIUrl":null,"url":null,"abstract":"Aeronautical parts, especially aircraft structures such as landing gear, are usually made of TC18 titanium alloys and other difficult-to-machine materials. The requirements for milling cutters are very high, so the price of cutters is relatively high. However, most of the blanks of aircraft structural parts are made of imported aluminium and titanium alloys, which have high cost. In order to ensure the processing accuracy, the cutting tools have to be replaced frequently. This will cause waste and increase the manufacturing cost because the actual life of the cutting tools is not fully utilized. At the same time, due to the closed high-end CNC milling machine or processing center processing, operators can not observe the actual cutting tool processing situation, can only judge the timing of tool change by experience, can not guarantee the high-quality and efficient processing of parts. So tool wear condition monitoring is a key technology in aircraft structural parts processing. Aiming at the situation that there is no theoretical data to guide tool changing in the process of high efficiency milling of aircraft structural parts, the tool wear monitoring system based on acoustic emission technology is designed according to the characteristics of acoustic emission signal. In this paper, the effects of spindle speed, feed speed, cutting width and tool wear on AE signal are studied by orthogonal experiment. The results show that tool wear has the greatest influence on the signal, followed by spindle speed and feed, and cutting width has the least influence on the signal.","PeriodicalId":233855,"journal":{"name":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-Time Monitoring of Tool Wear in High-Speed Milling of Aircraft Structural Parts\",\"authors\":\"B. Pang, Shijie Guo, Jing-Lei Wang, Hai-Bin Li\",\"doi\":\"10.1109/QR2MSE46217.2019.9021242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aeronautical parts, especially aircraft structures such as landing gear, are usually made of TC18 titanium alloys and other difficult-to-machine materials. The requirements for milling cutters are very high, so the price of cutters is relatively high. However, most of the blanks of aircraft structural parts are made of imported aluminium and titanium alloys, which have high cost. In order to ensure the processing accuracy, the cutting tools have to be replaced frequently. This will cause waste and increase the manufacturing cost because the actual life of the cutting tools is not fully utilized. At the same time, due to the closed high-end CNC milling machine or processing center processing, operators can not observe the actual cutting tool processing situation, can only judge the timing of tool change by experience, can not guarantee the high-quality and efficient processing of parts. So tool wear condition monitoring is a key technology in aircraft structural parts processing. Aiming at the situation that there is no theoretical data to guide tool changing in the process of high efficiency milling of aircraft structural parts, the tool wear monitoring system based on acoustic emission technology is designed according to the characteristics of acoustic emission signal. In this paper, the effects of spindle speed, feed speed, cutting width and tool wear on AE signal are studied by orthogonal experiment. The results show that tool wear has the greatest influence on the signal, followed by spindle speed and feed, and cutting width has the least influence on the signal.\",\"PeriodicalId\":233855,\"journal\":{\"name\":\"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/QR2MSE46217.2019.9021242\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QR2MSE46217.2019.9021242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

航空部件,特别是飞机结构,如起落架,通常由TC18钛合金和其他难以加工的材料制成。对铣刀的要求非常高,所以铣刀的价格也比较高。然而,飞机结构件的毛坯大多采用进口铝、钛合金,成本较高。为了保证加工精度,刀具必须经常更换。这样会造成浪费,增加制造成本,因为刀具的实际寿命没有得到充分利用。同时,由于高端数控铣床或加工中心的封闭加工,操作人员无法观察到实际的刀具加工情况,只能凭经验判断换刀时机,无法保证零件的高质量、高效率加工。因此刀具磨损状态监测是飞机结构件加工中的一项关键技术。针对飞机结构件高效铣削过程中没有理论数据指导换刀的情况,根据声发射信号的特点,设计了基于声发射技术的刀具磨损监测系统。通过正交试验,研究了主轴转速、进给速度、切削宽度和刀具磨损对声发射信号的影响。结果表明:刀具磨损对信号的影响最大,其次是主轴转速和进给量,切削宽度对信号的影响最小;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Real-Time Monitoring of Tool Wear in High-Speed Milling of Aircraft Structural Parts
Aeronautical parts, especially aircraft structures such as landing gear, are usually made of TC18 titanium alloys and other difficult-to-machine materials. The requirements for milling cutters are very high, so the price of cutters is relatively high. However, most of the blanks of aircraft structural parts are made of imported aluminium and titanium alloys, which have high cost. In order to ensure the processing accuracy, the cutting tools have to be replaced frequently. This will cause waste and increase the manufacturing cost because the actual life of the cutting tools is not fully utilized. At the same time, due to the closed high-end CNC milling machine or processing center processing, operators can not observe the actual cutting tool processing situation, can only judge the timing of tool change by experience, can not guarantee the high-quality and efficient processing of parts. So tool wear condition monitoring is a key technology in aircraft structural parts processing. Aiming at the situation that there is no theoretical data to guide tool changing in the process of high efficiency milling of aircraft structural parts, the tool wear monitoring system based on acoustic emission technology is designed according to the characteristics of acoustic emission signal. In this paper, the effects of spindle speed, feed speed, cutting width and tool wear on AE signal are studied by orthogonal experiment. The results show that tool wear has the greatest influence on the signal, followed by spindle speed and feed, and cutting width has the least influence on the signal.
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
自引率
0.00%
发文量
0
期刊最新文献
Research on No-Failure Data Evaluation Method Based on Imported Failure Information A Rosenblatt Transformation Method Based on Copula Function for Solving Structural Reliability Muti-Obiective optimization and Reliability Analysis of Electrostatic Powder Spraying Machine Base Cumulative Analysis of Plastic Deformation of Curved Variable Thickness Cantilever Plate under Bending Load Thermal Fatigue Life of Copper-Filled Laminated Micropore Based on Response Surface Methodology
×
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