ManuSafeNextGen: Model-Based Manufacturing of Safety-Critical Components for Next Generation Engines – Part I: Methodology

Markus Meurer , Tobias Kelliger , Nicklas Gerhard , Adrian Karl Rüppel , Adina Grimmert , Thomas Bergs
{"title":"ManuSafeNextGen: Model-Based Manufacturing of Safety-Critical Components for Next Generation Engines – Part I: Methodology","authors":"Markus Meurer ,&nbsp;Tobias Kelliger ,&nbsp;Nicklas Gerhard ,&nbsp;Adrian Karl Rüppel ,&nbsp;Adina Grimmert ,&nbsp;Thomas Bergs","doi":"10.1016/j.procir.2025.02.064","DOIUrl":null,"url":null,"abstract":"<div><div>The manufacturing of safety-critical engine components for aerospace applications involves extensive development and testing throughout the entire process chain. The numerous necessary experimental investigations and destructive metallographic analyses result in significant costs and high levels of scrap material. A key quality characteristic in the safety-critical low-pressure region of the engine is Surface Integrity (SI). This characteristic is primarily influenced by the thermo-mechanical loads induced during the manufacturing process, along with the manufacturing history of the semi-finished product. Currently, SI can only be characterized through destructive testing methods after production. This paper presents an approach currently developed by the Manufacturing Technology Institute MTI of RWTH Aachen University, the Fraunhofer Institute for Production Technology IPT, and MTU Aero Engines AG for the model-based prediction, monitoring, control, and evaluation of machining processes concerning process-induced SI characteristics. Using a multiscale approach, SI is predicted with spatial resolution along a complex component contour, based on the machining conditions. The focus of model development is on the operations of turning, broaching, and grinding the blade-disc combination. The developed models are coupled with a soft sensor installed in the machine environment, enabling SI monitoring during machining. The digital twin of the component, derived from the data, aims to enable quality assessment without the need for destructive testing of the component. This paper marks the beginning of a publication series presenting the project results obtained throughout the next years.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 370-375"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia CIRP","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212827125001039","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

The manufacturing of safety-critical engine components for aerospace applications involves extensive development and testing throughout the entire process chain. The numerous necessary experimental investigations and destructive metallographic analyses result in significant costs and high levels of scrap material. A key quality characteristic in the safety-critical low-pressure region of the engine is Surface Integrity (SI). This characteristic is primarily influenced by the thermo-mechanical loads induced during the manufacturing process, along with the manufacturing history of the semi-finished product. Currently, SI can only be characterized through destructive testing methods after production. This paper presents an approach currently developed by the Manufacturing Technology Institute MTI of RWTH Aachen University, the Fraunhofer Institute for Production Technology IPT, and MTU Aero Engines AG for the model-based prediction, monitoring, control, and evaluation of machining processes concerning process-induced SI characteristics. Using a multiscale approach, SI is predicted with spatial resolution along a complex component contour, based on the machining conditions. The focus of model development is on the operations of turning, broaching, and grinding the blade-disc combination. The developed models are coupled with a soft sensor installed in the machine environment, enabling SI monitoring during machining. The digital twin of the component, derived from the data, aims to enable quality assessment without the need for destructive testing of the component. This paper marks the beginning of a publication series presenting the project results obtained throughout the next years.
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
ManuSafeNextGen:基于模型的下一代发动机安全关键部件制造--第一部分:方法论
航空航天应用的安全关键发动机部件的制造涉及整个工艺链的广泛开发和测试。大量必要的实验调查和破坏性金相分析导致了巨大的成本和高水平的废料。发动机安全临界低压区域的关键质量特征是表面完整性(SI)。这种特性主要受制造过程中产生的热机械载荷以及半成品的制造历史的影响。目前,SI只能通过生产后的破坏性检测方法进行表征。本文介绍了目前由亚琛工业大学制造技术研究所MTI、弗劳恩霍夫生产技术研究所IPT和MTU航空发动机公司开发的一种方法,用于基于模型的预测、监测、控制和评估涉及过程诱导SI特性的加工过程。采用多尺度方法,根据加工条件沿复杂部件轮廓进行空间分辨率SI预测。模型开发的重点是刀盘组合的车削、拉削和磨削操作。开发的模型与安装在机器环境中的软传感器相结合,可以在加工过程中进行SI监控。从数据中导出的组件的数字孪生,旨在实现无需对组件进行破坏性测试的质量评估。这篇论文标志着一系列出版物的开始,介绍了在接下来的几年里获得的项目成果。
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
CiteScore
3.80
自引率
0.00%
发文量
0
期刊最新文献
Editorial EDITORIAL Machining of large CFRP-components with industrial robots with hybrid drives Temperature distribution inside composite and fiber metal laminates during modified cure cycles A novel method for carbon fiber reinforced thermoplastics production combining single point incremental forming and 3D printing
×
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:604180095
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