High temperature negative wear behaviour of VN/Ag composites induced by expansive oxidation reaction

Liu, Eryong; Zhang, Jiahao; Chen, Shu; Du, Shuangming; Du, Huiling; Cai, Hui; Wang, Lianli

doi:10.1016/j.ceramint.2021.02.164

Cited by 43 publications

(11 citation statements)

References 36 publications

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“…When the number of thermal vibrations is 240 times, the thickness of most TGO samples was close to 8 μm, which is in a critical state. When the number of thermal vibrations is 300 times, almost all TGO samples are greater than 8μm, and the thermal barrier coating is in a failure state [28][29][30][31][32][33]. The statistical table of TGO thickness of samples with the increase of thermal vibration times and its distribution interval are shown in Table 5.…”

Section: Image Analysis Resultsmentioning

confidence: 99%

Intelligent Life Prediction of Thermal Barrier Coating for Aero Engine Blades

et al. 2021

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The existing methods for thermal barrier coating (TBC) life prediction rely mainly on experience and formula derivation and are inefficient and inaccurate. By introducing deep learning into TBC life analyses, a convolutional neural network (CNN) is used to extract the TBC interface morphology and analyze its life information, which can achieve a high-efficiency accurate judgment of the TBC life. In this thesis, an Adap–Alex algorithm is proposed to overcome the problems related to the large training time, over-fitting, and low accuracy in the existing CNN training of TBC images with complex tissue morphologies. The method adjusts the receptive field size, stride length, and other parameter settings and combines training epochs with a sigmoid function to realize adaptive pooling. TBC data are obtained by thermal vibration experiments, a TBC dataset is constructed, and then the Adap–Alex algorithm is used to analyze the generated TBC dataset. The average training time of the Adap–Alex method is significantly smaller than those of VGG-Net and Alex-Net by 125 and 685 s, respectively. For a fixed number of thermal vibrations, the test accuracy of the Adap–Alex algorithm is higher than those of Alex-Net and VGG-Net, which facilitates the TBC identification. When the number of thermal vibrations is 300, the accuracy reaches 93%, and the performance is highest.

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Section: Image Analysis Resultsmentioning

confidence: 99%

Intelligent Life Prediction of Thermal Barrier Coating for Aero Engine Blades

et al. 2021

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“…It was defined as the ratio of the standard deviation to the expected value of all grain sizes in the image. The calculation formula is shown in Equation (3), where σ d is the standard deviation of grain size, µ d is the expected value of grain size. The smaller the value of the GME is, the better the uniformity of the grain distributed.…”

Section: Methodsmentioning

confidence: 99%

“…With the rapid development of science and technology, the demand for light weight, high strength, and excellent functional materials in the field of military and civil equipment is gradually increasing, which promotes the rapid development of metal matrix composites [ 1 , 2 , 3 ]. Among them, aluminum matrix composites (AMCs) have shown a broad application prospect in aerospace, automobile, and power electronics due to their high specific strength, specific modulus, low density, low coefficient of thermal expansion, good dimensional stability, excellent thermal and conductive properties, as well as their structure and functionality [ 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…VN ceramic particles not only have high hardness and good ductility, but also have good physical and chemical compatibility with 7075 aluminum alloy [ 3 , 19 ]. The addition of VN can significantly improve the hardness of the material, and VN can be oxidized to form V 2 O 5 and VO 2 lubricating phases at high temperature, which can improve the wear properties of the material [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

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Effect of VN and TiB2-TiCx Reinforcement on Wear Behavior of Al 7075-Based Composites

et al. 2021

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Al 7075 alloy, 15 wt.% VN/7075 composites, and 20 wt.% TiB2-TiCx/7075 composites were prepared by ball milling with subsequent hot-pressing sintering. The microstructure, hardness, and wear properties at room temperature to 200 °C of Al 7075-based composites with different reinforcement phases were discussed. The grain uniformity degree values of 15 wt.% VN/7075 composites and 20 wt.% TiB2-TiCx/7075 composites were 0.25 and 0.13, respectively. The reinforcement phase was uniformly distributed in 15 wt.% VN/7075 composites and 20 wt.% TiB2-TiCx/7075 composites, almost no agglomeration occurred. The order of hardness was 20 wt.% TiB2-TiCx/7075 composites (270.2 HV) > 15 wt.% VN/7075 composites (119.5 HV) > Al 7075 (81.8 HV). At the same temperature, the friction coefficient of 15 wt.% VN/7075 composites was the lowest, while the volume wear rate of 20 wt.% TiB2-TiCx/7075 composites was the lowest. With the increase of temperature, the wear mechanism of Al 7075 changed from spalling wear to oxidation wear and adhesion wear. However, the wear mechanisms of 15 wt.% VN/7075 and 20 wt.% TiB2-TiCx/7075 composites changed from abrasive wear at room temperature to wear mechanism (oxidation wear, abrasive wear, and adhesive wear) at medium and low temperature. Comprehensive wear test results indicated that 20 wt.% TiB2-TiCx/7075 composites had excellent tribological properties at medium and low temperature.

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“…In general, CPs are composed of metal centers and organic ligands, and their final structures are high dependent on lots of factors, for example, the metal ions, solvents, temperature of reaction, reagent ration and ligands, etc. [8][9][10][11]. Among these factors, the selection of suitable organic ligands possesses a major effect in the CPs' ultimate structures via the effects of the ligand coordinative atoms along with the ligand geometry.…”

Section: Introductionmentioning

confidence: 99%

Two Co(II) coordination polymers: magnetic properties and application values against chronic subdural hematoma

Chen

Cao

et al. 2021

Designed Monomers and Polymers

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In this current experiment, by applying the mixed-ligand synthesis method, two coordination polymers (CPs) containing Co(II) were created triumphantly with reaction between 1,3-bis(1-imidazoly)benzene (mbib) and Co(II) salts with the aid of diverse carboxylic ligands, and their chemical formulae are [Co 3 (opda) The two compounds' magnetic performances suggest that between the adjacent metal ions, there present the antiferromagnetic coupling. The evaluation of their treatment activity against chronic subdural hematoma was carried out and the relevant mechanism was studied simultaneously. Firstly, before the treatment of compound, the chronic subdural hematoma was generated. Furthermore, the enzyme-linked immunosorbent assay detection kit was implemented and in hematoma capsule, the antiinflammatory cytokines level and pro-inflammatory cytokines level was detected. Additionally, the cytotoxicity of compounds 1 and 2 on the normal human cells was determined with Cell Counting Kit-8 assay. Above all, we proved compound 1 decreased the pro-inflammatory cytokines content and increased the anti-inflammatory cytokines content in the hematoma capsule, which is much stronger than that of compound 2. Both compounds 1 and 2 showed no cytotoxicity on the normal human cells.

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High temperature negative wear behaviour of VN/Ag composites induced by expansive oxidation reaction

Cited by 43 publications

References 36 publications

Intelligent Life Prediction of Thermal Barrier Coating for Aero Engine Blades

Intelligent Life Prediction of Thermal Barrier Coating for Aero Engine Blades

Effect of VN and TiB2-TiCx Reinforcement on Wear Behavior of Al 7075-Based Composites

Two Co(II) coordination polymers: magnetic properties and application values against chronic subdural hematoma

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