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  1. Article: Comparative Study of the Relationship between Microstructure and Mechanical Properties of Aluminum Alloy 5056 Fabricated by Additive Manufacturing and Rolling Techniques.

    Evstifeev, Alexey / Volosevich, Darya / Smirnov, Ivan / Yakupov, Bulat / Voropaev, Artem / Vitokhin, Evgeniy / Klimova-Korsmik, Olga

    Materials (Basel, Switzerland)

    2023  Volume 16, Issue 12

    Abstract: In recent years, additive manufacturing of products made from 5000 series alloys has grown in popularity for marine and automotive applications. At the same time, little research has been aimed at determining the permissible load ranges and areas of ... ...

    Abstract In recent years, additive manufacturing of products made from 5000 series alloys has grown in popularity for marine and automotive applications. At the same time, little research has been aimed at determining the permissible load ranges and areas of application, especially in comparison with materials obtained by traditional methods. In this work, we compared the mechanical properties of aluminum alloy 5056 produced by wire-arc additive technology and rolling. Structural analysis of the material was carried out using EBSD and EDX. Tensile tests under quasi-static loading and impact toughness tests under impact loading were also carried out. SEM was used to examine the fracture surface of the materials during these tests. The mechanical properties of the materials under quasi-static loading conditions exhibit a striking similarity. Specifically, the yield stress σ0.2 was measured at 128 MPa for the industrially manufactured AA5056_IM and 111 MPa for the AA5056_AM. In contrast, impact toughness tests showed that AA5056_AM KCV
    Language English
    Publishing date 2023-06-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma16124327
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors

    Shabanov, Akhmedkhan / Krotov, Ilya / Chinaev, Nikolay / Poletaev, Vsevolod / Kozlukov, Sergei / Pasechnik, Igor / Yakupov, Bulat / Sanakoyeu, Artsiom / Lebedev, Vadim / Ulyanov, Dmitry

    2020  

    Abstract: Consumer-level depth cameras and depth sensors embedded in mobile devices enable numerous applications, such as AR games and face identification. However, the quality of the captured depth is sometimes insufficient for 3D reconstruction, tracking and ... ...

    Abstract Consumer-level depth cameras and depth sensors embedded in mobile devices enable numerous applications, such as AR games and face identification. However, the quality of the captured depth is sometimes insufficient for 3D reconstruction, tracking and other computer vision tasks. In this paper, we propose a self-supervised depth denoising approach to denoise and refine depth coming from a low quality sensor. We record simultaneous RGB-D sequences with unzynchronized lower- and higher-quality cameras and solve a challenging problem of aligning sequences both temporally and spatially. We then learn a deep neural network to denoise the lower-quality depth using the matched higher-quality data as a source of supervision signal. We experimentally validate our method against state-of-the-art filtering-based and deep denoising techniques and show its application for 3D object reconstruction tasks where our approach leads to more detailed fused surfaces and better tracking.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Publishing date 2020-09-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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