采用粒子图像测速技术和超声方法获得了黄松木的弹性模量

IF 1.2 4区 农林科学 Q3 MATERIALS SCIENCE, PAPER & WOOD Maderas-ciencia Y Tecnologia Pub Date : 2022-02-01 DOI:10.4067/s0718-221x2022000100413
Eduardo Hélio de Novais Miranda, Taiane Oliveira Guedes, Rayner Pathele Ferreira, Rodrigo Allan Pereira, Fernando Pujaico Rivera, Diogo Antonio Correa Gomes
{"title":"采用粒子图像测速技术和超声方法获得了黄松木的弹性模量","authors":"Eduardo Hélio de Novais Miranda, Taiane Oliveira Guedes, Rayner Pathele Ferreira, Rodrigo Allan Pereira, Fernando Pujaico Rivera, Diogo Antonio Correa Gomes","doi":"10.4067/s0718-221x2022000100413","DOIUrl":null,"url":null,"abstract":"Non-destructive techniques for characterizing materials in-service have been increasing in importance. Thus, it is relevant to assess the potential of non-destructive techniques for solid materials. This work aimed to determine the modulus of elasticity of Bertholletia excelsa wood using the particle image velocimetry technique and the ultrasound method to compare the results with the conventional methodology. For this purpose, samples of Bertholletia excelsa were made using a circular saw. The samples were evaluated for sound propagation to calculate the modulus of elasticity using ultrasound equipment. Subsequently, they were subjected to the compression parallel to grain test in a universal testing machine. The samples were marked and monitored during the loading session, with the repeated capture of images using a professional camera. The deformation values obtained were used to estimate the modulus of elasticity using the particle image velocimetry technique. The mean values of modulus of elasticity found were 17403 MPa for ultrasound, 15589 MPa for the particle image velocimetry technique, and 15333 MPa for the universal testing machine. The particle image velocimetry technique was considered to be statistically similar (Tukey α = 0,05) to the other methods tested. The linear coefficient of determination (R2) between the particle image velocimetry technique and the universal testing machine was 0,95, a high and satisfactory value. Thus, the particle image velocimetry technique and the ultrasound method are valid to estimate the modulus of elasticity of Bertholletia excelsa wood and possibly of woods with similar technological characteristics.","PeriodicalId":18092,"journal":{"name":"Maderas-ciencia Y Tecnologia","volume":"33 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Particle image velocimetry technique and ultrasound method to obtain the modulus of elasticity of Bertholletia excelsa wood\",\"authors\":\"Eduardo Hélio de Novais Miranda, Taiane Oliveira Guedes, Rayner Pathele Ferreira, Rodrigo Allan Pereira, Fernando Pujaico Rivera, Diogo Antonio Correa Gomes\",\"doi\":\"10.4067/s0718-221x2022000100413\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Non-destructive techniques for characterizing materials in-service have been increasing in importance. Thus, it is relevant to assess the potential of non-destructive techniques for solid materials. This work aimed to determine the modulus of elasticity of Bertholletia excelsa wood using the particle image velocimetry technique and the ultrasound method to compare the results with the conventional methodology. For this purpose, samples of Bertholletia excelsa were made using a circular saw. The samples were evaluated for sound propagation to calculate the modulus of elasticity using ultrasound equipment. Subsequently, they were subjected to the compression parallel to grain test in a universal testing machine. The samples were marked and monitored during the loading session, with the repeated capture of images using a professional camera. The deformation values obtained were used to estimate the modulus of elasticity using the particle image velocimetry technique. The mean values of modulus of elasticity found were 17403 MPa for ultrasound, 15589 MPa for the particle image velocimetry technique, and 15333 MPa for the universal testing machine. The particle image velocimetry technique was considered to be statistically similar (Tukey α = 0,05) to the other methods tested. The linear coefficient of determination (R2) between the particle image velocimetry technique and the universal testing machine was 0,95, a high and satisfactory value. Thus, the particle image velocimetry technique and the ultrasound method are valid to estimate the modulus of elasticity of Bertholletia excelsa wood and possibly of woods with similar technological characteristics.\",\"PeriodicalId\":18092,\"journal\":{\"name\":\"Maderas-ciencia Y Tecnologia\",\"volume\":\"33 1\",\"pages\":\"\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2022-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Maderas-ciencia Y Tecnologia\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.4067/s0718-221x2022000100413\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MATERIALS SCIENCE, PAPER & WOOD\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Maderas-ciencia Y Tecnologia","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.4067/s0718-221x2022000100413","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, PAPER & WOOD","Score":null,"Total":0}
引用次数: 0

摘要

在役材料的无损表征技术越来越重要。因此,评估固体材料的非破坏性技术的潜力是相关的。本研究旨在利用粒子图像测速技术和超声方法测定白松木的弹性模量,并与常规方法进行比较。为此,使用圆锯制作了贝索利亚的样品。利用超声设备对样品进行声传播评估,计算弹性模量。随后,在万能试验机上进行了平行晶粒压缩试验。在加载过程中对样品进行标记和监测,并使用专业相机重复捕获图像。利用颗粒图像测速技术,将得到的变形值用于估算弹性模量。超声法测得的弹性模量平均值为17403 MPa,粒子图像测速法测得的弹性模量平均值为15589 MPa,万能试验机测得的弹性模量平均值为15333 MPa。粒子图像测速技术被认为与其他测试方法在统计学上相似(Tukey α = 0.05)。粒子图像测速技术与万能试验机的线性决定系数R2为0.95,是一个较高的、令人满意的值。因此,粒子图像测速技术和超声方法可以有效地估计出黄松木材的弹性模量,也可能是具有类似工艺特征的木材的弹性模量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Particle image velocimetry technique and ultrasound method to obtain the modulus of elasticity of Bertholletia excelsa wood
Non-destructive techniques for characterizing materials in-service have been increasing in importance. Thus, it is relevant to assess the potential of non-destructive techniques for solid materials. This work aimed to determine the modulus of elasticity of Bertholletia excelsa wood using the particle image velocimetry technique and the ultrasound method to compare the results with the conventional methodology. For this purpose, samples of Bertholletia excelsa were made using a circular saw. The samples were evaluated for sound propagation to calculate the modulus of elasticity using ultrasound equipment. Subsequently, they were subjected to the compression parallel to grain test in a universal testing machine. The samples were marked and monitored during the loading session, with the repeated capture of images using a professional camera. The deformation values obtained were used to estimate the modulus of elasticity using the particle image velocimetry technique. The mean values of modulus of elasticity found were 17403 MPa for ultrasound, 15589 MPa for the particle image velocimetry technique, and 15333 MPa for the universal testing machine. The particle image velocimetry technique was considered to be statistically similar (Tukey α = 0,05) to the other methods tested. The linear coefficient of determination (R2) between the particle image velocimetry technique and the universal testing machine was 0,95, a high and satisfactory value. Thus, the particle image velocimetry technique and the ultrasound method are valid to estimate the modulus of elasticity of Bertholletia excelsa wood and possibly of woods with similar technological characteristics.
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
Maderas-ciencia Y Tecnologia
Maderas-ciencia Y Tecnologia 工程技术-材料科学:纸与木材
CiteScore
2.60
自引率
13.30%
发文量
33
审稿时长
>12 weeks
期刊介绍: Maderas-Cienc Tecnol publishes inedits and original research articles in Spanish and English. The contributions for their publication should be unpublished and the journal is reserved all the rights of reproduction of the content of the same ones. All the articles are subjected to evaluation to the Publishing Committee or external consultants. At least two reviewers under double blind system. Previous acceptance of the Publishing Committee, summaries of thesis of Magíster and Doctorate are also published, technical opinions, revision of books and reports of congresses, related with the Science and the Technology of the Wood. The journal have not articles processing and submission charges.
期刊最新文献
Natural durability of some hardwoods imported into Korea for deck boards against decay fungi and subterranean termite in accelerated laboratory tests Research of computerized numerical control laser processing qualities of some wood species used ın the furniture industry Evaluation of bean residues in the production of agglomerated panels Un enfoque de machine learning para la predicción de la calidad de tableros contrachapados Cellulose biosaccharification by Irpex lacteus wood decay fungus
×
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