npj Materials Degradation最新文献

Insights into the degradation mechanism of Fe-40Ni-15Co superalloy exposed to marine atmospheric and high-temperature conditions 对暴露于海洋大气和高温条件下的 Fe-40Ni-15Co 超合金降解机制的深入研究

IF 6.6 2区材料科学

npj Materials Degradation Pub Date : 2024-11-02 DOI: 10.1038/s41529-024-00531-0

Quanxiang Sun, Hongfei Yu, Yao Wang, Bo Zhang, Xiaole Han, Xingqi Wang, Dechuang Zhang, Jianguo Lin, Yange Yang, Fuhui Wang

{"title":"Insights into the degradation mechanism of Fe-40Ni-15Co superalloy exposed to marine atmospheric and high-temperature conditions","authors":"Quanxiang Sun, Hongfei Yu, Yao Wang, Bo Zhang, Xiaole Han, Xingqi Wang, Dechuang Zhang, Jianguo Lin, Yange Yang, Fuhui Wang","doi":"10.1038/s41529-024-00531-0","DOIUrl":"10.1038/s41529-024-00531-0","url":null,"abstract":"This study investigated the corrosion and oxidation mechanism of the Cr-free Fe-40Ni-15Co superalloy with exposure to a tropical marine atmosphere for one year and a subsequent high temperature of 650 °C for 300 h. The degradation behavior of the samples was evaluated based on surface characterization and analysis. In the tropical marine atmospheres, the corrosion process of the Fe-40Ni-15Co superalloy presented an initial localized type after one month of exposure and gradually developed into uniform. The corrosion products were mainly comprised of Fe2O3 and NiO, suppressing the pitting process. During the high-temperature oxidation process, all samples presented super-parabolic oxidation kinetics. Except for the initial active oxidation due to salt deposits, the corrosion products after atmospheric exposure could significantly enhance the oxidation resistance at 650 °C. An explanation for the degradation mechanism of the Fe-40Ni-15Co superalloy was developed based on the synergistic effects of atmospheric corrosion and high-temperature oxidation.","PeriodicalId":19270,"journal":{"name":"npj Materials Degradation","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41529-024-00531-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142574233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lifetime prediction of epoxy coating using convolutional neural networks and post processing image recognition methods 利用卷积神经网络和后处理图像识别方法预测环氧树脂涂层的寿命

IF 6.6 2区材料科学

npj Materials Degradation Pub Date : 2024-11-02 DOI: 10.1038/s41529-024-00532-z

Fandi Meng, Yufan Chen, Jianning Chi, Huan Wang, Fuhui Wang, Li Liu

{"title":"Lifetime prediction of epoxy coating using convolutional neural networks and post processing image recognition methods","authors":"Fandi Meng, Yufan Chen, Jianning Chi, Huan Wang, Fuhui Wang, Li Liu","doi":"10.1038/s41529-024-00532-z","DOIUrl":"10.1038/s41529-024-00532-z","url":null,"abstract":"The rapid failure of organic coatings in deep-sea environments complicates accurate lifetime prediction. Given the rapid cracking characteristic on the coating surface in this environment, a comprehensive “performance-structure” failure model was established. Initially, a targeted image recognition approach containing convolutional neural network (CNN) and post-processing was constructed for the crack area detection. An overall precision of 82.81% demonstrated the network’s good accuracy. The length distribution and the statistical evolution of cracks were extracted from SEM images to obtain the kinetic equation of the cracks related to coating structure degradation. In addition, the kinetics of water diffusion and coating adhesion were examined, as they represent critical parameters of coating performance. Based on this achievement, a failure model incorporating three dominant factors was integrated by the gray relational analysis method. The average prediction error of the model was 2.60%, which lays the groundwork for developing image-based methods to predict coating life.","PeriodicalId":19270,"journal":{"name":"npj Materials Degradation","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41529-024-00532-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142574242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The effect of variable humidity on corrosion fatigue of AA7085-T7451 with surface salt deposits 湿度变化对表面盐沉积 AA7085-T7451 腐蚀疲劳的影响

IF 6.6 2区材料科学

npj Materials Degradation Pub Date : 2024-11-01 DOI: 10.1038/s41529-024-00530-1

Brandon Free, Gabriella C. Montiel, Gabriella A. Marino, Eric Schindelholz, Sarah Galyon Dorman, Jenifer S. Warner Locke

引用次数: 0

Film-forming amines as corrosion inhibitors: a state-of-the-art review 作为缓蚀剂的成膜胺：最新进展综述

IF 6.6 2区材料科学

npj Materials Degradation Pub Date : 2024-11-01 DOI: 10.1038/s41529-024-00523-0

Deni Jero, Nicolas Caussé, Nadine Pébère

引用次数: 0

Unveiling the mechanism behind irregular inclusions triggering no HIC cracks in steels 揭示不规则夹杂物引发钢中无 HIC 裂纹的机理

IF 6.6 2区材料科学

npj Materials Degradation Pub Date : 2024-10-31 DOI: 10.1038/s41529-024-00525-y

Rongzhe Hu, Zhixian Peng, Shiqi Zhang, Liquan Ding, Feng Huang, Zhengliang Xue, Jing Liu

引用次数: 0

A data-driven strategy for phase field nucleation modeling 相场成核建模的数据驱动策略

IF 6.6 2区材料科学

npj Materials Degradation Pub Date : 2024-10-30 DOI: 10.1038/s41529-024-00529-8

Yang Hu, Kai Wang, Robert Spatschek

{"title":"A data-driven strategy for phase field nucleation modeling","authors":"Yang Hu, Kai Wang, Robert Spatschek","doi":"10.1038/s41529-024-00529-8","DOIUrl":"10.1038/s41529-024-00529-8","url":null,"abstract":"We propose a data-driven strategy for parameter selection in phase field nucleation models using machine learning and apply it to oxide nucleation in Fe-Cr alloys. A grand potential-based phase field model, incorporating Langevin noise, is employed to simulate oxide nucleation and benchmarked against the Johnson-Mehl-Avrami-Kolmogorov model. Three independent parameters in the phase field simulations (Langevin noise strength, numerical grid discretization and critical nucleation radius) are identified as essential for accurately modeling the nucleation behavior. These parameters serve as input features for machine learning classification and regression models. The classification model categorizes nucleation behavior into three nucleation density regimes, preventing invalid nucleation attempts in simulations, while the regression model estimates the appropriate Langevin noise strength, significantly reducing the need for time-consuming trial-and-error simulations. This data-driven approach improves the efficiency of parameter selection in phase field models and provides a generalizable method for simulating nucleation-driven microstructural evolution processes in various materials.","PeriodicalId":19270,"journal":{"name":"npj Materials Degradation","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41529-024-00529-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Surface treatments on commercial glasses: durable impact on the retention of lead, barium and boron 商用玻璃的表面处理：对铅、钡和硼保留的持久影响

IF 6.6 2区材料科学

npj Materials Degradation Pub Date : 2024-10-26 DOI: 10.1038/s41529-024-00526-x

L. Brunswic, F. Angeli, S. Gin, E. D. van Hullebusch, M. Tarrago, L. Gautron, D. R. Neuville

{"title":"Surface treatments on commercial glasses: durable impact on the retention of lead, barium and boron","authors":"L. Brunswic, F. Angeli, S. Gin, E. D. van Hullebusch, M. Tarrago, L. Gautron, D. R. Neuville","doi":"10.1038/s41529-024-00526-x","DOIUrl":"10.1038/s41529-024-00526-x","url":null,"abstract":"Glass durability is one of the properties that can be affected by surface treatments such as coatings or chemical attacks. These treatments can be used to reduce the quantities of potentially toxic elements contained in glass that may be released in solution. Five surface treatments were selected: three different coatings (SnO2, TiO2, SiO2) and two acidic attacks (SO2 dealkalization and acid polishing). These treatments were performed on five glass compositions (soda-lime, borosilicate, barium silicate, opal, and lead crystal). Their effects on alteration rates and mechanisms were investigated through a single protocol (acetic acid 4%, 70 °C) simulating accelerated aging conditions for containers of beverages or food. The data collected over 1.3 years showed significant reduction of lead leaching with all treatments except acid polishing. The best reduction factor was obtained with SO2 dealkalization, which also demonstrated beneficial effects towards the retention of Ba by reducing the diffusion of alkalis.","PeriodicalId":19270,"journal":{"name":"npj Materials Degradation","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41529-024-00526-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142519205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evolution of carbides and Charpy toughness in a low alloy bainitic steel during step-up aging process 低合金贝氏体钢在阶跃时效过程中的碳化物演变和夏比韧性

IF 6.6 2区材料科学

npj Materials Degradation Pub Date : 2024-10-21 DOI: 10.1038/s41529-024-00527-w

Long Jin, Kun Zhang, Ming-Liang Zhu, Fu-Zhen Xuan

引用次数: 0

Simultaneous accelerated stress testing of membrane electrode assembly components in polymer electrolyte fuel cells 聚合物电解质燃料电池膜电极组件的同步加速应力测试

IF 6.6 2区材料科学

npj Materials Degradation Pub Date : 2024-10-16 DOI: 10.1038/s41529-024-00524-z

Wataru Yoshimune, Akihiko Kato, Tetsuichiro Hayakawa, Satoshi Yamaguchi, Satoru Kato

{"title":"Simultaneous accelerated stress testing of membrane electrode assembly components in polymer electrolyte fuel cells","authors":"Wataru Yoshimune, Akihiko Kato, Tetsuichiro Hayakawa, Satoshi Yamaguchi, Satoru Kato","doi":"10.1038/s41529-024-00524-z","DOIUrl":"10.1038/s41529-024-00524-z","url":null,"abstract":"The durability of polymer electrolyte fuel cells (PEFCs) in fuel cell electric vehicles is important for the shift from passenger cars to heavy-duty vehicles. The components of a PEFC, namely the proton exchange membrane (PEM), catalyst layer (CL), and gas diffusion layer (GDL), contribute to the degradation of the fuel cell performance. In this paper, we propose a method for simultaneously evaluating the degradation rates of these components by combining electrochemical characterization with operando synchrotron X-ray radiography. The open-circuit voltage, electrochemically active surface area (ECSA), and water saturation were used as the degradation indicators for the PEMs, CLs, and GDLs, respectively. The results of two accelerated stress tests (loading and start-stop cycles) after 10,000 cycles showed that the increase in water saturation owing to the loss of hydrophobicity due to carbon corrosion in the cathode GDL occurred on the same timescale as the degradation in the PEM and cathode CL. Specifically, during the load cycle AST, the cathode CL degraded with a 26% reduction in the ECSA along with the cathode GDL degradation with a 10% increase in water saturation. This suggests that more efforts should be devoted to studies on the durability of GDLs for heavy-duty applications.","PeriodicalId":19270,"journal":{"name":"npj Materials Degradation","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41529-024-00524-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142439145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hydrogen diffusion and trapping in a cryogenic processed high-Cr ferrous alloy 低温加工高铬铁合金中的氢扩散和捕获

IF 6.6 2区材料科学

npj Materials Degradation Pub Date : 2024-10-11 DOI: 10.1038/s41529-024-00522-1

Patricia Jovičević-Klug, J. Manoj Prabhakar, Cristiano Kasdorf Giesbrecht, Tim M. Schwarz, Carsten Bonnekoh, Michael Rieth, Michael Rohwerder

引用次数: 0