A sampling method based on improved firefly algorithm for profile measurement of aviation engine blade

IF 1.1 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION
Zhi Huang, L. Zhao, Kailai Li, Hongyan Wang, Tao Zhou
{"title":"A sampling method based on improved firefly algorithm for profile measurement of aviation engine blade","authors":"Zhi Huang, L. Zhao, Kailai Li, Hongyan Wang, Tao Zhou","doi":"10.24425/mms.2019.130565","DOIUrl":null,"url":null,"abstract":"Coordinate Measurement Machines (CMMs) have been extensively used in inspecting mechanical parts with higher accuracy. In order to enhance the efficiency and precision of the measurement of aviation engine blades, a sampling method of profile measurement of aviation engine blade based on the firefly algorithm is researched. Then, by comparing with the equal arc-length sampling algorithm (EAS) and the equi-parametric sampling algorithm (EPS) in one simulation, the proposed sampling algorithm shows its better sampling quality than the other two algorithms. Finally, the effectiveness of the algorithm is verified by an experimental example of blade profile. Both simulated and experimental results show that the method proposed in this paper can ensure the measurement accuracy by measuring a smaller number of points.","PeriodicalId":18394,"journal":{"name":"Metrology and Measurement Systems","volume":" ","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metrology and Measurement Systems","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.24425/mms.2019.130565","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}
引用次数: 1

Abstract

Coordinate Measurement Machines (CMMs) have been extensively used in inspecting mechanical parts with higher accuracy. In order to enhance the efficiency and precision of the measurement of aviation engine blades, a sampling method of profile measurement of aviation engine blade based on the firefly algorithm is researched. Then, by comparing with the equal arc-length sampling algorithm (EAS) and the equi-parametric sampling algorithm (EPS) in one simulation, the proposed sampling algorithm shows its better sampling quality than the other two algorithms. Finally, the effectiveness of the algorithm is verified by an experimental example of blade profile. Both simulated and experimental results show that the method proposed in this paper can ensure the measurement accuracy by measuring a smaller number of points.
一种基于改进萤火虫算法的航空发动机叶片轮廓测量采样方法
三坐标测量机在机械零件的高精度检测中得到了广泛的应用。为了提高航空发动机叶片廓形测量的效率和精度,研究了一种基于萤火虫算法的航空发动机叶片廓形测量采样方法。然后,在一次仿真中与等弧长采样算法(EAS)和等参数采样算法(EPS)进行比较,表明所提采样算法的采样质量优于其他两种算法。最后,通过叶片型线的实验验证了该算法的有效性。仿真和实验结果均表明,该方法可以通过测量较少的点来保证测量精度。
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
Metrology and Measurement Systems
Metrology and Measurement Systems INSTRUMENTS & INSTRUMENTATION-
CiteScore
2.00
自引率
10.00%
发文量
0
审稿时长
6 months
期刊介绍: Contributions are invited on all aspects of the research, development and applications of the measurement science and technology. The list of topics covered includes: theory and general principles of measurement; measurement of physical, chemical and biological quantities; medical measurements; sensors and transducers; measurement data acquisition; measurement signal transmission; processing and data analysis; measurement systems and embedded systems; design, manufacture and evaluation of instruments. The average publication cycle is 6 months.
×
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:604180095
Book学术官方微信