Preparation of 1060, 2024 and 7075 Aluminum Alloy Anodic Oxide Films

Jing, Chaojie; Wang, Ruijue; Zhao, Fangchao; Zhang, Lunwu; He, Qiongyao; Tong, Xiaoqiang

doi:10.3390/coatings11121498

Cited by 8 publications

(3 citation statements)

References 17 publications

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“…First, during the micro-PAO process, the large amount of oxygen bubbles generated in the anodic zone filled with AFP was inconsistent with the few bubbles that should be produced by the main anodic reaction in FEODT. 30,33 Furthermore, the morphology of the samples prepared via micro-PAO was not interpretable by FEODT. 34 In particular, the pore rings on the surfaces of the samples prepared for 120 s revealed that the pore growth was clearly an inside-to-outside tendency for the oxide inside the channel to be extruded outside on the surface, as depicted in Figure 1f.…”

Section: Resultsmentioning

confidence: 98%

Bioinspired Porous Anodic Alumina/Aluminum Flake Powder for Multiband Compatible Low Detectability

Zhang

Wu³

et al. 2022

ACS Appl. Mater. Interfaces

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Continuous development and advancement in modern detection technologies have increased the demand for multiband (e.g., visual and infrared) compatible camouflage. However, challenges exist in the requirements of incompatible structure resulting from the adaptation to different camouflage effects. This study is inspired by the light absorption structure of butterfly wing scales and demonstrates a porous anodic alumina/aluminum flake powder material prepared by a microscopic powder anodic oxidation technique for visual and infrared camouflage. The fabricated structures manipulate a compromise condition for visual camouflage by low reflectance (R̅ 400-800nm = 0.32) and dual-band infrared camouflage by low emission (ε ̅ 3-5μm = 0.081 and ε ̅ 8-14μm = 0.085). Further, the characteristic of short-range disorder in these bioinspired structures allows maintenance of the camouflage performance under omnidirectional detection (0−60°). This study provides new insight and a feasible method for coordinated manipulation of electromagnetic waves via bioinspired structural design and improved fabrication.

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Section: Resultsmentioning

confidence: 98%

Bioinspired Porous Anodic Alumina/Aluminum Flake Powder for Multiband Compatible Low Detectability

Zhang

Wu³

et al. 2022

ACS Appl. Mater. Interfaces

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“…The use of alloying components makes it possible to improve the quality of aluminum products and avoid some of the disadvantages inherent in the pure metal. The electrochemistry of aluminum alloys is also the subject of intensive and versatile research [23,[26][27][28][29][30][31][32]. The surface properties of anodized aluminum and its alloys, including microstructural parameters [23,[33][34][35], wettability [36,37], mechanical [38,39] and corrosion stability [39][40][41][42][43][44], coloring [26,45] and other aspects [42,[46][47][48], are actively studied.…”

Section: Introductionmentioning

confidence: 99%

Porous and Ag-, Cu-, Zn-Doped Al2O3 Fabricated via Barrier Anodizing of Pure Al and Alloys

Poznyak,

Knörnschild,

Hoha

et al. 2024

Coatings

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The paper breaks the general concepts and shows that pore formation is possible in anodic aluminum barrier oxide by anodizing of pure Al, and also presents the results of electrochemical anodizing in boric acid and citrate buffer aqueous solutions of homogeneous binary alloys AlCu (4 wt.%), AlZn (3 wt.%) and AlAg (5.2 wt.% and 16.2 wt.%). Barrier anodizing allowed obtaining Al2O3 thin films doped with copper, zinc and silver. The anodizing behavior and the effect of anodic current density on the charge were studied, and scanning electron microscopy, X-ray photoelectron spectroscopy and Auger electron spectroscopy analyses were performed. The doped alumina thin films, which are a mixture of Al2O3, Cu2O, ZnO, Ag2O, AgO and promising double metal oxides CuAlO2, AgAlO2 and ZnAl2O4, are promising for use as resistive switching, photoelectron, mechanical, photo-thermoelectric and fluorescence materials; sensors; and transparent conductive and photocatalyst films.

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“…Deep neural networks (DNNs) have been proven to be effective in a wide range of applications, e.g., speech recognition, image classification, and medical diagnostics [1,2]. With the advance in deep learning technology and the popularity of open source, the industry companies can directly download the pre-trained model deep neural networks from public model zoos such as Model Zoo [3] and Model Depot [4] for their specific tasks.…”

Section: Introductionmentioning

confidence: 99%

Out of Model Zoo: Towards Selecting the Best Deep Neural Network with Cognitive Analysis

Yang,

2024

Preprint

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Deep neural networks have achieved impressive performance on a huge amount of tasks and many model zoos are available that provide pre-trained models for free download. Despite the convenience, it is still difficult for the resource-constrained companies, especially startups, to select the best model from many candidates for their own tasks. Due to the lack of training data, the main challenges are to (1) evaluate the robustness of models with a test dataset and (2) optimize the prediction to maximize the usage of the model zoo. To address these challenges, we propose a robust model selector, Miss DL, which incorporates cognitive analysis and a series of criteria to select robust models from a given model zoo. We first propose a systemic method to simulate the distortions of new data points and calculate the dominant labels of the new data points. Then, we propose a metric to measure the robustness of models and select the best model. Motivated by the low confidence scores of the selected model on certain data points, we select a complementary model for each class for optimization. We evaluate the proposed Miss DL on popular deep neural networks and image datasets, including CIFAR-10, CIFAR-100, and ImageNet. Extensive experiments are performed to show the robustness and efficiency of Miss DL in different settings.

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Preparation of 1060, 2024 and 7075 Aluminum Alloy Anodic Oxide Films

Cited by 8 publications

References 17 publications

Bioinspired Porous Anodic Alumina/Aluminum Flake Powder for Multiband Compatible Low Detectability

Bioinspired Porous Anodic Alumina/Aluminum Flake Powder for Multiband Compatible Low Detectability

Porous and Ag-, Cu-, Zn-Doped Al2O3 Fabricated via Barrier Anodizing of Pure Al and Alloys

Out of Model Zoo: Towards Selecting the Best Deep Neural Network with Cognitive Analysis

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