Materials Evaluation最新文献_第8页

Characterization of Wall-Loss Defects in Curved GFRP Composites Using Pulsed Thermography 利用脉冲热成像技术表征弯曲GFRP复合材料的壁损缺陷

IF 0.6 4区材料科学

Materials Evaluation Pub Date : 2022-03-01 DOI: 10.32548/2022.me-04160

R. Gomathi, M. Ashok, M. Menaka, B. Venkatraman

引用次数: 1

Improvement of Exotic Material Verification Using XRF 用XRF验证外来物质的改进

IF 0.6 4区材料科学

Materials Evaluation Pub Date : 2022-03-01 DOI: 10.32548/2022.me-04268

Joshua H. Litofsky

{"title":"Improvement of Exotic Material Verification Using XRF","authors":"Joshua H. Litofsky","doi":"10.32548/2022.me-04268","DOIUrl":"https://doi.org/10.32548/2022.me-04268","url":null,"abstract":"While various common alloys, such as steels, titaniums, and more recently aluminums, have been tested and inspected using X-ray fluorescence spectroscopy (XRF) for decades, uncommon and niche alloys can produce surprising and unusual results. The ability to identify the base metal, major alloying elements, and trace materials in these alloys is critical to XRF testing and inspection procedures. Modern XRF instruments and software can quickly and easily characterize standard and common alloys, such as low-carbon steel, grade 5 titanium, and 6000 series aluminum; detected signals from the metals are generally discrete and strongly pronounced. Less common alloys, such as nickel superalloys and uraniums, present a greater analytical hurdle for rapid on-site testing, grading, and inspection. These exotic materials contain either weaker signals from the alloying elements or nonunique signatures, preventing accurate quantification. Standardization adjustments through software improvements increase the testing accuracy for these uncommon alloys, bringing their results in line with those from more traditional alloys. By modulating the detection energies of interest, the robust calculation can greatly surpass standard, out-of-the-box performance without the need for any inspector input. These improvements can provide greater inspection accuracy on a wider variety of rare and valuable alloys into the future.","PeriodicalId":49876,"journal":{"name":"Materials Evaluation","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49132764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on Nonlinear Lamb Wave Test for Invisible Impact Damage on CFRP Laminates CFRP复合材料不可见冲击损伤非线性兰姆波试验研究

IF 0.6 4区材料科学

Materials Evaluation Pub Date : 2022-03-01 DOI: 10.32548/2022.me-04191

Chenggeng Li, Zhenhua Chen, Wei-bing Chen, Chao-feng Lu

{"title":"Study on Nonlinear Lamb Wave Test for Invisible Impact Damage on CFRP Laminates","authors":"Chenggeng Li, Zhenhua Chen, Wei-bing Chen, Chao-feng Lu","doi":"10.32548/2022.me-04191","DOIUrl":"https://doi.org/10.32548/2022.me-04191","url":null,"abstract":"The impact damage imposed on carbon fiber–reinforced polymer (CFRP) materials used in aircraft fuselage may seriously affect flight safety. An ultrasonic testing method can be used to inspect for damage; however, in some cases of invisible or barely visible impact damage, linear ultrasound may not provide a clear indication of the underlying damage. Accordingly, a nonlinear Lamb wave technique was developed in this study to detect invisible impact damage (IID). First, a nonlinear Lamb wave testing platform was set, as well as damage areas with different impact energies. Second, the anisotropic propagation of Lamb waves was studied to determine the wave mode and the distribution of the transducers, and the linear parameters of the Lamb waves were determined. Last, three types of characteristic parameters of nonlinear Lamb waves were obtained for damage detection. As revealed from the results, the linear ultrasonic parameters of A0 mode Lamb waves can be applied to the detection of macro surface cracks, and the frequency shift, relative nonlinearity coefficient (RNC), and fluctuation coefficient of RNCs are highly sensitive to the detection of IID. Thus, a combination of nonlinear S0 Lamb waves and linear A0 Lamb waves can be used for IID and macro surface crack detection, respectively.","PeriodicalId":49876,"journal":{"name":"Materials Evaluation","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46375850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Image Processing with Deep Learning: Surface Defect Detection of Metal Gears through Deep Learning 深度学习的图像处理：通过深度学习检测金属齿轮的表面缺陷

IF 0.6 4区材料科学

Materials Evaluation Pub Date : 2022-02-01 DOI: 10.32548/2022.me-04230

Yavuz Selim Balcioglu, B. Sezen, M. S. Gok, Sezai Tunca

{"title":"Image Processing with Deep Learning: Surface Defect Detection of Metal Gears through Deep Learning","authors":"Yavuz Selim Balcioglu, B. Sezen, M. S. Gok, Sezai Tunca","doi":"10.32548/2022.me-04230","DOIUrl":"https://doi.org/10.32548/2022.me-04230","url":null,"abstract":"Intelligent production requires improved data analytics and better technological possibilities to improve system performance and decision making. With the widespread use of the machine learning process, a growing need has arisen for processing extensive production data, equipped with high volumes, high speed, and high diversity. At this point, deep learning provides advanced analysis tools for processing and analyzing extensive production data. The deep convolutional neural network (DCNN) displays state-of-the-art performance on many grounds, including metal manufacturing surface defect detection. However, there is still space for improving the defect detection performance over generic DCNN models. The proposed approach performed better than the associated methods in the particular area of surface crack detection. The defect zones of disjointed results are classified into their unique classes by a DCNN. The experimental outcomes prove that this method meets the durability and efficiency requirements for metallic object defect detection. In time, it can also be extended to other detection methods. At the same time, the study will increase the accuracy quality of the features that can make a difference in the deep learning method for the detection of surface defects.","PeriodicalId":49876,"journal":{"name":"Materials Evaluation","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47712180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mechanics of Neutron Radiation and Applications in the Field 中子辐射力学及其在野外的应用

IF 0.6 4区材料科学

Materials Evaluation Pub Date : 2022-02-01 DOI: 10.32548/2022.me-04265

Willow Ascenzo

引用次数: 0

The Mysteries of the Shroud of Turin 都灵裹尸布之谜

IF 0.6 4区材料科学

Materials Evaluation Pub Date : 2022-02-01 DOI: 10.32548/2022.me-02022

R. Rucker

引用次数: 2

NDE Outlook: Informatization of NDT and NDE 无损检测展望：无损检测和无损检测的信息化

IF 0.6 4区材料科学

Materials Evaluation Pub Date : 2022-01-01 DOI: 10.32548/2022.me-800122

Johannes Ludwig Vrana

引用次数: 0

Concrete Damage Identification based on Acoustic Emission and Wavelet Neural Network 基于声发射和小波神经网络的混凝土损伤识别

IF 0.6 4区材料科学

Materials Evaluation Pub Date : 2022-01-01 DOI: 10.32548/10.32548/2022.me-04232

Yan Wang, Lijun Chen, Nairan Wang, Jie Gu

引用次数: 1

Predicting the Delamination Mechanisms of Multidirectional Laminates Using the Energy Release Rate Obtained from AE Monitoring 利用声发射监测的能量释放率预测多向层压板的分层机理

IF 0.6 4区材料科学

Materials Evaluation Pub Date : 2022-01-01 DOI: 10.32548/10.32548/2022.me-04254

Ying-gang Liu, Jiang Peng, Wei Li, Chang-yuan Yang, Ping Sun, Xiaowei Yan

{"title":"Predicting the Delamination Mechanisms of Multidirectional Laminates Using the Energy Release Rate Obtained from AE Monitoring","authors":"Ying-gang Liu, Jiang Peng, Wei Li, Chang-yuan Yang, Ping Sun, Xiaowei Yan","doi":"10.32548/10.32548/2022.me-04254","DOIUrl":"https://doi.org/10.32548/10.32548/2022.me-04254","url":null,"abstract":"This study investigates delamination damage mechanisms during the double cantilever beam standard test using the strain energy release rate. The acoustic emission parameter is used to replace the original calculation method of measuring crack length to predict delamination. For this purpose, 24-layer glass/epoxy multidirectional specimens with different layups, and interface orientations of 0°, 30°, 45°, and 60°, were fabricated based on ASTM D5528 (2013). Acoustic emission testing (AE) is used to detect the damage mechanism of composite multidirectional laminates (combined with microscopic real-time observation), and it is verified that the strain energy release rate can be used as a criterion for predicting delamination damage in composite materials. By comparing the AE results with the delamination expansion images observed by microvisualization in real time, it is found that the acoustic emission parameters can predict the damage of laminates earlier. Based on the data inversion of the acoustic emission parameters of the strain energy release rate, it is found that the strain energy release rate of the specimens with different fiber interface orientations is consistent with the original calculated results.","PeriodicalId":49876,"journal":{"name":"Materials Evaluation","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46534416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing Mottled Indications when Digitally Radiographing Austenitic Stainless Steel Welds 对奥氏体不锈钢焊缝进行数字射线照相时斑点迹象的评估

IF 0.6 4区材料科学

Materials Evaluation Pub Date : 2022-01-01 DOI: 10.32548/10.32548/2022.me-800122_2

Albert Wenzig

引用次数: 0