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  • IOP Publishing  (6)
  • Wu, Jianxin  (6)
  • 1
    Online Resource
    Online Resource
    IOP Publishing ; 2022
    In:  Materials Research Express Vol. 9, No. 3 ( 2022-03-01), p. 032001-
    In: Materials Research Express, IOP Publishing, Vol. 9, No. 3 ( 2022-03-01), p. 032001-
    Abstract: Aluminum and its alloys having lots of advantageous properties are among the most-used metallic materials. So, it is of immense importance to find suitable processes and methods leading to high-quality purified Al melt. In this regard, there are numerous challenges in achieving high purity Al melts, such as its propensity to react with air, oxygen, and water vapor, the presence of a variety of oxide, non-oxide, and solid particle inclusions that lead to the production of pores, cracks, pinholes, and dross, finally adversely influencing the overall quality of the product. The main methods of melt refining are fluxing, floatation, and filtration, but more sophisticated methods have also emerged. The best method for purification can be chosen based on the type of impurities and the desired level of purification. With the industrial development, the need to establish more cost-effective and simpler methods has increased, and in addition, methods should be considered for recycling large volumes of scarp Al parts that contain more impurities. Moreover, achieving high purity melt is also a vital issue for use in specific applications. The present article has been written to discuss the above issues and focus on the study of various methods of aluminum purification.
    Type of Medium: Online Resource
    ISSN: 2053-1591
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2022
    detail.hit.zdb_id: 2760382-9
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  • 2
    Online Resource
    Online Resource
    IOP Publishing ; 2022
    In:  Journal of Physics: Conference Series Vol. 2278, No. 1 ( 2022-05-01), p. 012022-
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 2278, No. 1 ( 2022-05-01), p. 012022-
    Abstract: Few-shot learning as an emerging problem has attracted intensive attention in the data-limited situations of Computer Vision. Recently, massive works concentrate on exploiting meta learning to improve performance of recognition. However, most of them overlook the intra-class and inter-class relationships within the support set during episodic training, which are significant and important for the tasks of downstream. To tackle this problem, we present an efficient supervised contrastive representation embedding for few-shot classification. Specially, (1) we employ Swin Transformer as the backbone to replace CNN architecture in order to explore the huge potential of transformer-based backbone for the field of few-shot learning. (2) We introduce supervised contrastive loss to meta learning to take good advantage of extremely limited relations for the first time. Combined the classifier based on metric learning, extensive experiments have demonstrated the efficiency of the representation embedding. We conduct experiments and establish competitive results on two widely-used few-shot classification benchmarks: Fewshot-CIFAR 100 (FC-100) and MiniImageNet.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2022
    detail.hit.zdb_id: 2166409-2
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  • 3
    Online Resource
    Online Resource
    IOP Publishing ; 2021
    In:  Journal of Physics: Conference Series Vol. 2085, No. 1 ( 2021-11-01), p. 012023-
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 2085, No. 1 ( 2021-11-01), p. 012023-
    Abstract: Microstructures of AA5252 aluminum alloy sheets from surface to the center were observed by use of scanning electron microscope with electron backscatter detector assembly, and treated by anodic oxidation. Results showed that changes of the grain structures and textures of the AA5252 alloy sheets occur from the surface to the center layers. The anodic oxidation surface quality of the AA5252 aluminum alloy is closely related to the area ratio and distribution uniformity of Cube texture.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 2166409-2
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  • 4
    In: Materials Research Express, IOP Publishing, Vol. 9, No. 5 ( 2022-05-01), p. 056516-
    Abstract: Aluminum alloys, especially the 5000 series, have drawn the attention of the transportation industry due to their lightweight and consequently reduced fuel consumption. In this regard, one of the major problems of this alloy is its low strength and ductility that can be solved using rolling and post-annealing. Accordingly, the present study concentrates on this issue. Microstructural images showed that the rolling process develops a lot of tangled and trapped dislocations in the sample, which gradually lead to the formation of dislocation bundles and networks. Subsequent annealing can produce a more homogeneous structure with clear grain boundaries and low dislocation density in the inner region of the grains. However, grain refinement efficiency through rolling is retained even after annealing. Initial and rolled Al5052 with the maximum intensity of 2.87 and 6.33 possess the lowest and highest overall texture. Also, post-annealing decreases the texture intensity to 6.33 and 4.87 at 150 and 200 °C, respectively. In this context, deformation texture components strengthen considerably after the rolling process due to the formation of shear bands, and they slightly weaken during heat treatment. Although the initial annealing of the as-received material does not cause discontinuous recrystallization during rolling, it may facilitate the material recovery before rolling. Post-annealing was found to decrease the improved effect of strength by rolling and increase the negative influence of ductility due to the inhibition of dislocation strengthening. The results showed that both dislocation density and the precipitation of Mg atoms are influential for electrical resistivity.
    Type of Medium: Online Resource
    ISSN: 2053-1591
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2022
    detail.hit.zdb_id: 2760382-9
    Location Call Number Limitation Availability
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  • 5
    Online Resource
    Online Resource
    IOP Publishing ; 1994
    In:  Chinese Physics Letters Vol. 11, No. 11 ( 1994-11), p. 697-700
    In: Chinese Physics Letters, IOP Publishing, Vol. 11, No. 11 ( 1994-11), p. 697-700
    Type of Medium: Online Resource
    ISSN: 0256-307X , 1741-3540
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 1994
    detail.hit.zdb_id: 2040565-0
    SSG: 6,25
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  • 6
    Online Resource
    Online Resource
    IOP Publishing ; 2021
    In:  Journal of Physics: Conference Series Vol. 1861, No. 1 ( 2021-03-01), p. 012099-
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 1861, No. 1 ( 2021-03-01), p. 012099-
    Abstract: Although there are many efficient methods to detect the foreground from video frames, these methods are not completely applicable to the application scenario of desktop robotic arm. This paper presents a video static foreground detection method suitable for the desktop robotic arm application scenario. In our method, an auxiliary board is used to decrease false detection caused by camera-shake and work area movement, and to effectively eliminate non-target foreground interference such as human hands. In addition, with the auxiliary board we can also accurately calculate the 2-dimensional position and posture of the foreground. This method is general applicable to most desktop robotic arm application scenarios. Furthermore, compared with the traditional foreground detection method, this paper presents the 3-frames threshold method to solve the problem of multi-texture background environment appears many noise. What’s more, for the problem that it is difficult to classify when the foreground colors are similar to the background colors, this paper presents the difference degree to describe pixels.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 2166409-2
    Location Call Number Limitation Availability
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