• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

航空级铝合金的缺口与疲劳

Notches and Fatigue on Aircraft-Grade Aluminium Alloys.

作者信息

Zichil Valentin, Grigoras Cosmin Constantin, Ciubotariu Vlad Andrei

机构信息

Department of Engineering and Management, Mechatronics, "Vasile Alecsandri" University of Bacău, 157 Calea Mărăsesti, 600115 Bacau, Romania.

Department of Industrial Systems Engineering and Management, "Vasile Alecsandri" University of Bacău, 157 Calea Mărăsesti, 600115 Bacau, Romania.

出版信息

Materials (Basel). 2024 Sep 21;17(18):4639. doi: 10.3390/ma17184639.

DOI:10.3390/ma17184639
PMID:39336380
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11433727/
Abstract

The influence of notches and fatigue on the ultimate tensile strength and elongation at break of aluminium alloys (2024-T3, 6061-T4, 6061-T4 uncoated, 6061-T6 uncoated, 7075-T0, and 7076-T6) is presented in this study. A total of 120 specimens were used. On all specimens, notches were made using a CNC machine, with 60 of them subjected to low-cycle fatigue (LCF) before undergoing the tensile test. Based on the statistical examination of the measured data, mathematical prediction models have been established. Compared to their unscratched counterparts, the results indicate a significant decrease in the UTS and elongation at break for both notched and notched-fatigued specimens. The LCF pre-treatment contributes to the negative impacts of the notches, resulting in reduced values for the UTS and elongation at break, thus concluding that surface integrity is critical for maintaining the structural strength of aircraft components.

摘要

本研究展示了缺口和疲劳对铝合金(2024-T3、6061-T4、6061-T4未涂层、6061-T6未涂层、7075-T0和7076-T6)的极限抗拉强度和断裂伸长率的影响。总共使用了120个试样。在所有试样上,使用数控机床制作缺口,其中60个在进行拉伸试验前承受低周疲劳(LCF)。基于对测量数据的统计检验,建立了数学预测模型。结果表明,与未划痕的对应试样相比,有缺口和有缺口且经疲劳处理的试样的极限抗拉强度和断裂伸长率均显著降低。低周疲劳预处理加剧了缺口的负面影响,导致极限抗拉强度和断裂伸长率值降低,从而得出表面完整性对于维持飞机部件的结构强度至关重要的结论。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/1bb1c10763f5/materials-17-04639-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/455533504cf5/materials-17-04639-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/687ddce837f2/materials-17-04639-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/6145e84dafaa/materials-17-04639-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/529cb9da2cf1/materials-17-04639-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/1fd054827099/materials-17-04639-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/5457801af3b5/materials-17-04639-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/575bdc98cb7f/materials-17-04639-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/99db5de46cef/materials-17-04639-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/d129ab317cc8/materials-17-04639-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/d46b6dacda25/materials-17-04639-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/8c0909ccbdce/materials-17-04639-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/5866f0f82ae3/materials-17-04639-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/11392a4e6cd3/materials-17-04639-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/a1e608b21164/materials-17-04639-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/39b54357f911/materials-17-04639-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/e4cfcef4a3e9/materials-17-04639-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/8b1233406f5f/materials-17-04639-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/90f95b95d96b/materials-17-04639-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/f9eb59343560/materials-17-04639-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/1bb1c10763f5/materials-17-04639-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/455533504cf5/materials-17-04639-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/687ddce837f2/materials-17-04639-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/6145e84dafaa/materials-17-04639-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/529cb9da2cf1/materials-17-04639-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/1fd054827099/materials-17-04639-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/5457801af3b5/materials-17-04639-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/575bdc98cb7f/materials-17-04639-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/99db5de46cef/materials-17-04639-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/d129ab317cc8/materials-17-04639-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/d46b6dacda25/materials-17-04639-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/8c0909ccbdce/materials-17-04639-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/5866f0f82ae3/materials-17-04639-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/11392a4e6cd3/materials-17-04639-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/a1e608b21164/materials-17-04639-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/39b54357f911/materials-17-04639-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/e4cfcef4a3e9/materials-17-04639-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/8b1233406f5f/materials-17-04639-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/90f95b95d96b/materials-17-04639-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/f9eb59343560/materials-17-04639-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d12/11433727/1bb1c10763f5/materials-17-04639-g020.jpg

相似文献

1
Notches and Fatigue on Aircraft-Grade Aluminium Alloys.航空级铝合金的缺口与疲劳
Materials (Basel). 2024 Sep 21;17(18):4639. doi: 10.3390/ma17184639.
2
An Investigation on Fatigue Resistance of Notched Long Fiber-Reinforced Composite Materials.带缺口长纤维增强复合材料抗疲劳性能的研究
Polymers (Basel). 2022 Feb 21;14(4):822. doi: 10.3390/polym14040822.
3
Impact of Notches on Additively Manufactured Inconel 718 Tensile Performance.缺口对增材制造的Inconel 718拉伸性能的影响。
Materials (Basel). 2023 Oct 18;16(20):6740. doi: 10.3390/ma16206740.
4
Effect of PFM Firing Cycles on the Mechanical Properties, Phase Composition, and Microstructure of Nickel-Chromium Alloy.烤瓷熔附金属全冠烧结次数对镍铬合金力学性能、相组成及微观结构的影响
J Prosthodont. 2015 Dec;24(8):634-41. doi: 10.1111/jopr.12328. Epub 2015 Jul 27.
5
Laser and plasma dental soldering techniques applied to Ti-6Al-4V alloy: ultimate tensile strength and finite element analysis.应用于Ti-6Al-4V合金的激光和等离子体牙科焊接技术:极限抗拉强度和有限元分析。
J Prosthet Dent. 2015 May;113(5):460-6. doi: 10.1016/j.prosdent.2014.10.008. Epub 2015 Mar 4.
6
Anisotropic Low Cycle Behavior of the Extruded 7075 Al Alloy.挤压态7075铝合金的各向异性低周疲劳行为
Materials (Basel). 2021 Aug 11;14(16):4506. doi: 10.3390/ma14164506.
7
A Combined High and Low Cycle Fatigue Model for Life Prediction of Turbine Blades.一种用于涡轮叶片寿命预测的高低周复合疲劳模型。
Materials (Basel). 2017 Jun 26;10(7):698. doi: 10.3390/ma10070698.
8
Incorporation of Corrosion Effects into the Life-Cycle Analysis of AW-2017A-T4 Aluminium Alloy under Bending Moment.将腐蚀效应纳入AW-2017A-T4铝合金在弯矩作用下的生命周期分析
Materials (Basel). 2020 Aug 20;13(17):3681. doi: 10.3390/ma13173681.
9
Comparative analysis of the microstructures and mechanical properties of Co-Cr dental alloys fabricated by different methods.不同方法制备的 Co-Cr 牙科合金的微观结构和力学性能的比较分析。
J Prosthet Dent. 2018 Oct;120(4):617-623. doi: 10.1016/j.prosdent.2017.11.015. Epub 2018 Apr 5.
10
Analytical optimization of open hole effects on the tensile properties of SS400 sheet specimens using an integrated FFD-CRITIC-DFA method.使用集成的FFD-CRITIC-DFA方法对SS400板材试样拉伸性能的开孔效应进行分析优化。
Heliyon. 2023 Dec 20;10(1):e23920. doi: 10.1016/j.heliyon.2023.e23920. eCollection 2024 Jan 15.

引用本文的文献

1
Improvement of EMAT Butterfly Coil for Defect Detection in Aluminum Alloy Plate.用于铝合金板材缺陷检测的电磁超声换能器蝶形线圈的改进
Materials (Basel). 2025 Jul 7;18(13):3207. doi: 10.3390/ma18133207.

本文引用的文献

1
Experimental Study on Vibration Fatigue Behavior of Aircraft Aluminum Alloy 7050.飞机铝合金7050振动疲劳行为的试验研究
Materials (Basel). 2022 Oct 27;15(21):7555. doi: 10.3390/ma15217555.
2
Defects Recognition Algorithm Development from Visual UAV Inspections.基于视觉无人机检测的缺陷识别算法开发。
Sensors (Basel). 2022 Jun 21;22(13):4682. doi: 10.3390/s22134682.
3
Automated Aircraft Dent Inspection via a Modified Fourier Transform Profilometry Algorithm.基于改进傅里叶轮廓术算法的飞机自动化凹痕检测
Sensors (Basel). 2022 Jan 7;22(2):433. doi: 10.3390/s22020433.