Effect of Depth Surface Defects in Carbon Fibre Reinforced Composite Material on the Selected Recurrence Quantifications

IF 1.5 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY Advances in Materials Science Pub Date : 2020-06-01 DOI:10.2478/adms-2020-0011
K. Ciecieląg, K. Kęcik, K. Zaleski
{"title":"Effect of Depth Surface Defects in Carbon Fibre Reinforced Composite Material on the Selected Recurrence Quantifications","authors":"K. Ciecieląg, K. Kęcik, K. Zaleski","doi":"10.2478/adms-2020-0011","DOIUrl":null,"url":null,"abstract":"Abstract The paper discusses the problem of possibility of the detecting surface defects in carbon fibre reinforced plastics (CFRP) materials on the basis of the milling time series. First, the special defects in the hole-shaped with various depth were made. Next, the cutting forces are measured during the milling machining. Finally, the recurrence plot and quantification analysis was applied. The obtained results show that the depth defect influences the selected recurrence quantifications, which can be used as the simple defect indicators. The conducted research allow to determine the percentage share of the detectable defects. The novelty of the work and an unresolved problem is the selection of recurrence quantifications with the simultaneous use of them to detect the size of defects in carbon fibre reinforced plastics.","PeriodicalId":7327,"journal":{"name":"Advances in Materials Science","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Materials Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/adms-2020-0011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 4

Abstract

Abstract The paper discusses the problem of possibility of the detecting surface defects in carbon fibre reinforced plastics (CFRP) materials on the basis of the milling time series. First, the special defects in the hole-shaped with various depth were made. Next, the cutting forces are measured during the milling machining. Finally, the recurrence plot and quantification analysis was applied. The obtained results show that the depth defect influences the selected recurrence quantifications, which can be used as the simple defect indicators. The conducted research allow to determine the percentage share of the detectable defects. The novelty of the work and an unresolved problem is the selection of recurrence quantifications with the simultaneous use of them to detect the size of defects in carbon fibre reinforced plastics.
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
碳纤维增强复合材料表面深度缺陷对重复量化选择的影响
摘要本文讨论了基于铣削时间序列检测碳纤维增强塑料(CFRP)材料表面缺陷的可能性问题。首先,在不同深度的孔型中制造特殊缺陷。其次,在铣削加工过程中测量切削力。最后应用递归图和定量分析。结果表明,深度缺陷影响所选择的递归量化,可作为简单的缺陷指标。所进行的研究允许确定可检测缺陷的百分比份额。这项工作的新颖性和一个尚未解决的问题是选择重复量化,同时使用它们来检测碳纤维增强塑料缺陷的大小。
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
Advances in Materials Science
Advances in Materials Science MATERIALS SCIENCE, MULTIDISCIPLINARY-
自引率
7.70%
发文量
0
期刊最新文献
Mechanical Properties of Titanium Grade 1 After Laser Shock Wave Treatment Leading-Edge Polymer/Carbonaceous Nano-Reinforcement Nanocomposites—Opportunities for Space Sector The Effects of ArC Voltage and Shielding Gas Type on the Microstructure of Wire ArC Additively Manufactured 2209 Duplex Stainless Steel Mechanical and Corrosion Properties of Friction Stir Welded and Tungsten Inert Gas Welded Phosphor Bronze Numerical and Experimental Analysis of the Forging of a Bimetallic Crosshead
×
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