PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Soft modelling of the shaping of metal profiles in rapid tube hydroforming technology

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents an approach to the impact of process parameters in innovative RTH (Rapid Tube Hydroforming) technology for shaping closed metal profiles in flexible and deformable dies. In order to implement the assumed deformation of the deformed profile, the RTH technology requires the monitoring and control of numerous technological parameters, including geometric, material, and technological variables. The paper proposes a two-stage research procedure considering hard modelling (constitutive) and soft modelling (data-driven). Due to the complexity of the technological process, it was required to develop a numerical finite element method FEM model focused on obtaining the adequate profile deformation measured by the ellipsoidality of the cylindrical profile. Based on the results of the numerical experiments, a preliminary soft mathematical model using ANN was developed. Analysing the soft model results, several statistical hypotheses were made and verified to investigate the significance of selected process parameters. Thanks to this, it was possible to select the most important process parameters, i.e., the properties of moulding sands used for RTH dies: the angle of internal friction and cohesion.
Wydawca
Rocznik
Strony
201--210
Opis fizyczny
Bibliogr. 11 poz., rys.
Twórcy
  • Warsaw University of Technology, Institute of Manufacturing Technologies, Warsaw, Poland
  • Warsaw University of Technology, Institute of Manufacturing Technologies, Warsaw, Poland
Bibliografia
  • Grzegorzewski, P., & Kochanski, A. (2019). Data preprocessing in industrial manufacturing. In P. Grzegorzewski, A. Kochanski, J. Kacprzyk (Eds.), Soft Modeling in Industrial Manufacturing. Springer Cham. https://doi.org/10.1007/978-3-030-03201-2_3.
  • Jonckheere, A.R. (1954). A distribution-free k-sample test against ordered alternatives. Biometrika, 41(1–2), 133–145. https://doi.org/10.2307/2333011.
  • Kochański, A., & Sadłowska, H. (2020a). Sposób hydromechanicznego kształtowania profili cienkościennych i matryca do hydromechanicznego kształtowania profili cienkościennych. Patent No. 235400.
  • Kochański, A., & Sadłowska, H. (2020b). Rapid tube hydroforming – the innovative casting-forming method for rapid prototyping. Manufacturing Technology, 20(2), 195–199. https://doi.org/10.21062/mft.2020.039.
  • Kruskal, W., & Wallis, W.A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583–621. https://doi.org/10.2307/2280779.
  • Masters, T. (1993). Practical Neural Network Recipes in C++, Academic Press.
  • Rachmatullah, M.I.C., Santaso, J., & Surendro, K. (2022). A novel approach in determining neural networks architecture to classify data with large number of attributes. IEEE Access, 8, 204728–204742. https://doi.org/10.1109/ACCESS.2020.3036853.
  • Sadłowska, H. (2008). Application of modified forming limit diagram for hydroforming of copper tubes. Steel Research International, Special Edition, 1, 324–331.
  • Sadłowska, H., Kochański, A., & Czapla, M. (2020). Application of the numerical model to design the geometry of a unit tool in the innovative RTH hydroforming technology. Materials, 13(23), 5427. https://doi.org/10.3390/ma13235427.
  • Sadłowska, H., Kochański, A., & Grzegorzewski, P. (2021). Multi-phase fuzzy modelling in the innovative RTH hydroforming technology. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/FUZZ45933.2021.9494345.
  • Terpstra, T.J. (1952). The asymptotic normality and consistency of Kendall’s test against trend, when ties are present in one ranking. Indagationes Mathematicae (Proceedings), 14, 327–333. https://doi.org/10.1016/S1385-7258(52)50043-X.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1e965296-ab7b-4467-90af-c3f23da8667e
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.