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    Wyświetlanie 1-6 z 6
    Tytuł:
    The Fibrous Structure of the Bolt and Its Effect on the Joint Reliability
    Autorzy:
    Dubiel, Tomasz
    Balawender, Tadeusz
    Osetek, Mirosław
    Powiązania:
    https://bibliotekanauki.pl/articles/2049126.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    cold forging
    bolts
    fasteners
    grain flow pattern
    Opis:
    The use of cold forging is a widely used solution in many industries. One application is the manufacture of bolts and fasteners. The largest amounts of bolts are used in the automotive and machine industry. Those customers demand high standards of quality and reliability from producers based on ISO 9001 and IATF 16949. Also, the construction, agriculture and furniture industries are raising their expectations for deliveries from year to year. Automotive companies issue their standards specifying specific requirements for products. One of these standards is the aviation standard SAE USCAR 8-4; 2019, which speaks of a compatible arrangement of fibers in the bolt head and in the area of transition into the mandrel. The article presents the cold forging process of flange bolts. Obtaining a compatible, acceptable and incompatible grain flow pattern based of the above mantioned standard was presented. Then the results of FEM simulation were correlated with the performed experiment. The effect of incompatible grain flow system was discussed and presented as the crack initiating factor due to delta ferrite, hydrogen embrittlement, tempering embrittlement. The reliability of the connections was confirmed in the assembly test for yield stress on a schatz machine. The advantages of this method and the difference compared to the tensile test were presented.
    Źródło:
    Archives of Metallurgy and Materials; 2021, 66, 4; 1075-1085
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The Phenomenon of Hydrogen Embrittlement in High-Strength Bolts
    Autorzy:
    Dubiel, Tomasz
    Balawender, Tadeusz
    Osetek, Mirosław
    Powiązania:
    https://bibliotekanauki.pl/articles/2203713.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    cold forging
    hydrogen embrittlement
    high-strength bolts
    Opis:
    The hydrogen embrittlement of metals is caused by the penetration and accumulation of hydrogen atoms inside the metal. The failure of the product due to hydrogen embrittlement is delayed in time and does not occur immediately after its manufacture, but several hours, days, or even weeks later. Therefore, the chances of detecting hydrogen embrittlement when checking the quality of the finished product are very slim. The use of high-strength bolts in industry is associated with the risk of hydrogen embrittlement. This phenomenon poses a threat to the safe use of devices by limiting or completely losing the functionality of the bolt joint. Even a low influence of moisture can trigger failure mechanisms. The article proposes a method for assessing the risk of hydrogen embrittlement for high-strength bolts in class12.9. For this purpose, bolts made of material grade 32CrB4 were prepared and in a controlled manner the grain flow inconsistency was made, leading in extreme cases to the production of the forging lap. To perform the study, the device proposed by the European Assessment Document (EAD) was adapted to the testing of hydrogen embrittlement of threaded fasteners in concrete. The concrete substrate was replaced with metal spacers that were preloaded with a bolt. The use of the wedge distance under the bolt head led to the generation of two stress states - tensile and compressive, which translated into an increased risk of hydrogen embrittlement. After being tested, the bolts were visually and microscopically inspected to assess potential locations for cracks and hydrogen propagation. As a result of the conducted tests, it was found that the prepared test method allows to assess the resistance or susceptibility of the bolt to threats related to hydrogen embrittlement.
    Źródło:
    Archives of Metallurgy and Materials; 2023, 68, 1; 395--402
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Selection of a numerical model to predict the flow in a fan with a cycloidal rotor
    Autorzy:
    Staśko, Tomasz
    Majkut, Mirosław
    Dykas, Sławomir
    Smołka, Krystian
    Powiązania:
    https://bibliotekanauki.pl/articles/1955033.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    fan
    CFD
    cyclorotor
    Opis:
    A fan with a cycloidal rotor (CRF) is a promising design for application in HVAC (heat, ventilation and air conditioning) systems. Despite the widespread use of the CRF design as a form of propulsion, there are practically no scientific publications examining the possibility of using it as the HVAC fan. The choice of the cycloidal rotor facilitates the operating procedure and widens the range of operating conditions. The paper focuses on the use of the CRF in HVAC, especially as a blowing machine integrated with rectangular ducts, presenting, and discussing the search for the most efficient numerical model. The way of discretizing the computational domain, the turbulence models and the time integration method were tested. A four-blade open rotor fan with a cycloidal impeller was used both in the numerical and in the experimental model. The 2D and 3D CRF models created in the Ansys CFX package were adopted. After a mesh-independence study, different turbulence models were tested for the selected mesh. In the case of the 2D model, various turbulence models such as the SST and the RNG k-ε options were tested and compared with each other. The computational fluid dynamics simulations were compared with in-house experimental results of the velocity field measurements performed by means of laser Doppler anemometry and thermoanemometry. It turned out that the considered numerical models did not reflect the experimental measurements quantitatively. This may be due to the small differences in the shapes of the cycloids of the rotor blades in the numerical model and in real geometry.
    Źródło:
    Archives of Thermodynamics; 2021, 42, 4; 3-15
    1231-0956
    2083-6023
    Pojawia się w:
    Archives of Thermodynamics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Metrological analysis of additively manufactured copies of a fossil skull
    Autorzy:
    Rucki, Mirosław
    Garashchenko, Yaroslav
    Kogan, Ilja
    Ryba, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/2173724.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    additive manufacturing
    Madygenerpeton
    optical measurement
    statistical analysis
    produkcja dodatkowa
    pomiar optyczny
    analiza statystyczna
    Opis:
    This paper presents the results of a metrological analysis of the additively manufactured (AM) copies of a complex geometrical object, namely the fossil skull of Madygenerpeton pustulatum. This fossil represents the unique remains of an extinct “reptiliomorph amphibian” of high importance for palaeontological science. For this research, the surface was scanned and twelve different copies were 3D-printed using various devices, materials, and AM techniques. The same digitized model was used as a reference to compare with the surfaces obtained by Mitutoyo Coordinate Measuring Machine (CMM) CRYSTA-Apex S 9166 for each copy. The fidelity of the copies was assessed through statistical analysis of the distances between compared surfaces. The methodology provided a good background for the choice of the most accurate copies and the elimination of the less accurate ones. The proposed approach can be applied to any object of complex geometry when reproduction accuracy is to be assessed.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 6; art. no. e143827
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-feature ensemble system in the renal tumour classification task
    Autorzy:
    Osowska-Kurczab, Aleksandra Maria
    Markiewicz, Tomasz
    Dziekiewicz, Miroslaw
    Lorent, Malgorzata
    Powiązania:
    https://bibliotekanauki.pl/articles/2173572.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    medical imaging
    renal cell carcinoma
    convolutional neural networks
    textural features
    support vector machine
    computer vision
    deep learning
    technika deep learning
    obrazowanie medyczne
    rak nerkowokomórkowy
    konwolucyjne sieci neuronowe
    cechy tekstury
    maszyna wektorów nośnych
    wizja komputerowa
    głęboka nauka
    Opis:
    Recently, the analysis of medical imaging is gaining substantial research interest, due to advancements in the computer vision field. Automation of medical image analysis can significantly improve the diagnosis process and lead to better prioritization of patients waiting for medical consultation. This research is dedicated to building a multi-feature ensemble model which associates two independent methods of image description: textural features and deep learning. Different algorithms of classification were applied to single-phase computed tomography images containing 8 subtypes of renal neoplastic lesions. The final ensemble includes a textural description combined with a support vector machine and various configurations of Convolutional Neural Networks. Results of experimental tests have proved that such a model can achieve 93.6% of weighted F1-score (tested in 10-fold cross validation mode). Improvement of performance of the best individual predictor totalled 3.5 percentage points.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e136749
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-feature ensemble system in the renal tumour classification task
    Autorzy:
    Osowska-Kurczab, Aleksandra Maria
    Markiewicz, Tomasz
    Dziekiewicz, Miroslaw
    Lorent, Malgorzata
    Powiązania:
    https://bibliotekanauki.pl/articles/2128157.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    medical imaging
    renal cell carcinoma
    convolutional neural networks
    textural features
    support vector machine
    computer vision
    deep learning
    technika deep learning
    obrazowanie medyczne
    rak nerkowokomórkowy
    konwolucyjne sieci neuronowe
    cechy tekstury
    maszyna wektorów nośnych
    wizja komputerowa
    głęboka nauka
    Opis:
    Recently, the analysis of medical imaging is gaining substantial research interest, due to advancements in the computer vision field. Automation of medical image analysis can significantly improve the diagnosis process and lead to better prioritization of patients waiting for medical consultation. This research is dedicated to building a multi-feature ensemble model which associates two independent methods of image description: textural features and deep learning. Different algorithms of classification were applied to single-phase computed tomography images containing 8 subtypes of renal neoplastic lesions. The final ensemble includes a textural description combined with a support vector machine and various configurations of Convolutional Neural Networks. Results of experimental tests have proved that such a model can achieve 93.6% of weighted F1-score (tested in 10-fold cross validation mode). Improvement of performance of the best individual predictor totalled 3.5 percentage points.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e136749, 1--8
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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