鼠笼式转子模态特性的实验与数值分析

Johannes Grosshauser
{"title":"鼠笼式转子模态特性的实验与数值分析","authors":"Johannes Grosshauser","doi":"10.1109/EDPC.2016.7851334","DOIUrl":null,"url":null,"abstract":"This paper presents a parameter fitting process for dynamic FE models of squirrel cage rotors. The process is based on an experimental database and considers statistical approaches for the parameter sensitivity analyses of FE models. Parameters are optimized using evolutionary optimization algorithms. The quality of results is checked using the database and extended experimental investigations carried out on special test benches. Derived from this it can be shown that the FE model is also a good fit for calculation the strength within squirrel cage.","PeriodicalId":121418,"journal":{"name":"2016 6th International Electric Drives Production Conference (EDPC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Experimental and numerical analysis of the modal behavior of squirrel cage rotors\",\"authors\":\"Johannes Grosshauser\",\"doi\":\"10.1109/EDPC.2016.7851334\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a parameter fitting process for dynamic FE models of squirrel cage rotors. The process is based on an experimental database and considers statistical approaches for the parameter sensitivity analyses of FE models. Parameters are optimized using evolutionary optimization algorithms. The quality of results is checked using the database and extended experimental investigations carried out on special test benches. Derived from this it can be shown that the FE model is also a good fit for calculation the strength within squirrel cage.\",\"PeriodicalId\":121418,\"journal\":{\"name\":\"2016 6th International Electric Drives Production Conference (EDPC)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 6th International Electric Drives Production Conference (EDPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDPC.2016.7851334\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 6th International Electric Drives Production Conference (EDPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDPC.2016.7851334","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文介绍了鼠笼转子动力学有限元模型的参数拟合过程。该过程以实验数据库为基础,并考虑了有限元模型参数敏感性分析的统计方法。采用进化优化算法对参数进行优化。结果的质量是通过数据库和在特殊试验台进行的扩展实验调查来检查的。由此可以看出,有限元模型也可以很好地适用于计算鼠笼内部的强度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental and numerical analysis of the modal behavior of squirrel cage rotors
This paper presents a parameter fitting process for dynamic FE models of squirrel cage rotors. The process is based on an experimental database and considers statistical approaches for the parameter sensitivity analyses of FE models. Parameters are optimized using evolutionary optimization algorithms. The quality of results is checked using the database and extended experimental investigations carried out on special test benches. Derived from this it can be shown that the FE model is also a good fit for calculation the strength within squirrel cage.
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
×
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