Surface Engineering and Applied Electrochemistry最新文献_第7页

Study of Microhardness of Oxide Layers on Deformable Aluminum Alloys during Pulse Electrochemical Oxidation 脉冲电化学氧化可变形铝合金氧化层显微硬度的研究

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Surface Engineering and Applied Electrochemistry Pub Date : 2025-10-22 DOI: 10.3103/S1068375525700784

E. A. Klimova, A. A. Parshuto, E. A. Stepanova-Parshuto, I. P. Smyaglikov, S. I. Bagaev, V. N. Kokhnyuk, A. A. Izyumov

引用次数: 0

Features of the Formation of the Structure of Soldered Seams when Using Composite Solders 使用复合焊料时焊缝结构形成的特点

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Surface Engineering and Applied Electrochemistry Pub Date : 2025-10-22 DOI: 10.3103/S1068375525700802

I. I. Vegera, V. Ya. Lebedev, A. V. Frantskevich

引用次数: 0

Influence of the Step of Changing the Training Data and the Dimensions of the Input Vector on the Accuracy of Calculating the Load of an Unstable Two-Port Network by the Neural One 训练数据变换步长和输入向量维数对神经网络计算不稳定双端口网络载荷精度的影响

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Surface Engineering and Applied Electrochemistry Pub Date : 2025-10-22 DOI: 10.3103/S1068375525700838

A. A. Penin, A. S. Sidorenko

{"title":"Influence of the Step of Changing the Training Data and the Dimensions of the Input Vector on the Accuracy of Calculating the Load of an Unstable Two-Port Network by the Neural One","authors":"A. A. Penin, A. S. Sidorenko","doi":"10.3103/S1068375525700838","DOIUrl":"10.3103/S1068375525700838","url":null,"abstract":"The calculations of the load of an unstable two-port network were made. Traditional calculation methods involve laborious parameter redefinition and recalculation of the desired values. In contrast, a neural network includes possible changes in the two-port parameters in the training data. The feedforward neural network training data represents a set of load values and corresponding input current values. Such data are calculated using some change steps of the load and two-port parameters. The training data are split into training, validation, and test sets. It was established that in the training epochs, the neural network reveals that internal pattern in those three sets. Therefore, small errors are obtained. However, the errors appear for the extended control data in different step types. Combining training data with regular and irregular step change parameters eliminates this pattern, so the network shows the capability to generalize. A probability index of the quantification of training quality yields a trade-off between the size of the training data, the accuracy obtained, and the number of neurons. Because an unstable two-port has three parameters, unsatisfactory results were obtained using three base load values. In turn, four excessive base loads radically increase the precision and capability generalization of the network. The established features of the behavior of the neural network provide a base for solving practical “streaming” tasks of different physical nature based on known analogies.","PeriodicalId":782,"journal":{"name":"Surface Engineering and Applied Electrochemistry","volume":"61 5","pages":"762 - 773"},"PeriodicalIF":0.7,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145341242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Structure and Properties of Zr–Mo–Si–B and Hf–Mo–Si–B Protective Composite Coatings Obtained by Spark Plasma Sintering 火花等离子烧结制备Zr-Mo-Si-B和Hf-Mo-Si-B复合防护涂层的结构和性能

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Surface Engineering and Applied Electrochemistry Pub Date : 2025-10-22 DOI: 10.3103/S1068375525700656

Ph. V. Kiryukhantsev-Korneev, A. D. Chertova, S. I. Rupasov, T. A. Sviridova, T. A. Lobova, P. Feng, X. Ren, E. A. Levashov

{"title":"Structure and Properties of Zr–Mo–Si–B and Hf–Mo–Si–B Protective Composite Coatings Obtained by Spark Plasma Sintering","authors":"Ph. V. Kiryukhantsev-Korneev, A. D. Chertova, S. I. Rupasov, T. A. Sviridova, T. A. Lobova, P. Feng, X. Ren, E. A. Levashov","doi":"10.3103/S1068375525700656","DOIUrl":"10.3103/S1068375525700656","url":null,"abstract":"Coatings in the Zr–Mo–Si–B and Hf–Mo–Si–B systems were obtained by spark plasma sintering (SPS) using ZrSi2–MoSi2–ZrB2 and HfSi2–MoSi2–HfB2 heterophase powders manufactured by the self-propagating, high-temperature synthesis method. The Zr–Mo–Si–B and Hf–Mo–Si–B coatings were characterized by a thickness of 1.3–1.4 mm, had a dense structure, and contained phases in wt %: 61 o-ZrSi2, 15 h-ZrB2, 15 t-MoSi2, 8 m-ZrO2, 1 c-ZrB and 53 o-HfSi2, 14 h-HfB2, 19 t-MoSi2, 9 m-HfO2, and 5 c-HfB, respectively. The coating hardness was 15–16 GPa, the elastic modulus was 265–268 GPa, and the elastic recovery was 38–39%. The Hf–Mo–Si–B coating was characterized by the minimal values of (a) specific wear rate of 4.2 × 10–5 mm3 N–1 m–1 under sliding friction conditions, (b) crater volume of 5 × 103 μm3 under impact-dynamic tests, and (c) oxidation rate of <2.3 × 10–3 mg/(cm2 s) at 1200°C. The SPS coatings are superior to niobium substrates in wear resistance by ~25 times and oxidation resistance by several orders of magnitude.","PeriodicalId":782,"journal":{"name":"Surface Engineering and Applied Electrochemistry","volume":"61 5","pages":"611 - 620"},"PeriodicalIF":0.7,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145341204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Inhibition of Steel Corrosion in Water by Sodium Pyruvate 丙酮酸钠对钢在水中的缓蚀作用

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Surface Engineering and Applied Electrochemistry Pub Date : 2025-10-22 DOI: 10.3103/S106837552570067X

V. V. Parshutin, A. M. Paramonov, A. V. Koval’, V. I. Lozan

引用次数: 0

Electron Irradiation-Induced Formation of the Surface Relief of Ge5As37S58/Se Multilayer Nanoperiodic Structure 电子辐照诱导Ge5As37S58/Se多层纳米周期结构表面起伏的形成

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Surface Engineering and Applied Electrochemistry Pub Date : 2025-10-22 DOI: 10.3103/S1068375525700668

S. A. Sergeev, A. Yu. Meshalkin, A. V. Stronski, O. P. Paiuk, G. M. Tridukh, I. A. Kozhokaru

引用次数: 0

Mutual Influence of Salts on Solubility in NiSO4–MnSO4–H2O and CoSO4–MnSO4–H2O Systems 盐对NiSO4-MnSO4-H2O和CoSO4-MnSO4-H2O体系溶解度的相互影响

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Surface Engineering and Applied Electrochemistry Pub Date : 2025-10-22 DOI: 10.3103/S1068375525700760

S. I. Bagaev, A. A. Parshuto, I. P. Smyaglikov, E. A. Klimova, V. N. Kohnyuk

引用次数: 0

Evaluation of Measurement Accuracy during Experimental Studies of the Hydrodynamic and Energy Characteristics of an Electric Explosion in a Liquid 液体电爆炸水动力和能量特性实验研究中测量精度的评价

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Surface Engineering and Applied Electrochemistry Pub Date : 2025-10-22 DOI: 10.3103/S1068375525700863

A. D. Blashchenko, I. N. Starkov

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The Influence of Technological Factors on the Surface Resistance of Films Obtained by Magnetron Sputtering of a Target Composition (MOSi2 + 20% SiC) 工艺因素对目标组合物（MOSi2 + 20% SiC）磁控溅射膜表面电阻的影响

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Surface Engineering and Applied Electrochemistry Pub Date : 2025-10-22 DOI: 10.3103/S1068375525700772

I. M. Romanov, S. D. Latushkina, A. R. Luchenok, O. I. Posylkina

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Study of the Properties of Refractory Alloys under the Influence of Thermal and Magnetic-Pulse Treatment 热脉冲和磁脉冲处理对耐火合金性能影响的研究

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Surface Engineering and Applied Electrochemistry Pub Date : 2025-10-22 DOI: 10.3103/S1068375525700814

A. M. Miliukova, A. V. Alifanov, A. A. Lyakh, A. N. Matsias, O. A. Tolkacheva

引用次数: 0