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A New Approach to Experimental Testing of Sheet Metal Formability for Automotive Industry

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Języki publikacji
EN
Abstrakty
EN
Advanced vision method of analysis of the Erichsen cupping test based on laser speckle is presented in this work. This method proved to be useful for expanding the range of information on material formability for two commonly used grades of steel sheets: DC04 and DC01. The authors present a complex methodology and experimental procedure that allows not only to determine the standard Erichsen index but also to follow the material deformation stages immediately preceding the occurrence of the crack. Accurate determination of these characteristics in the sheet metal forming would be an important application, especially for automotive industry. However, the sheet metal forming is a very complex manufacturing process and its success depends on many factors. Therefore, attention is focused in this study on better understanding of the Erichsen index in combination with the material deformation history.
Twórcy
autor
  • Warsaw University of Technology, Department of Metal Forming and Foundry, Narbutta 85, 02-524 Warszawa, Poland
autor
  • Kielce Technical University, Faculty of Management and Computer Modelling, 7 Tysiąclecia Państwa Polskiego Av., 25-314 Kielce, Poland
  • Warsaw University of Technology, Department of Metal Forming and Foundry, Narbutta 85, 02-524 Warszawa, Poland
autor
  • Warsaw University of Technology, Department of Metal Forming and Foundry, Narbutta 85, 02-524 Warszawa, Poland
Bibliografia
  • [1] A. Mohsen, B. A. Mohamed, C. Chaker, D. Fakhreddine, Adv. Prod. Eng. Manag. 3 (2), 81-92 (2008).
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  • [7] R. N. Reddy, S. Theja, G. Tilak, The SIJ Transactions on Industrial, Financial & Business Management 1 (2), 52-57 (2013).
  • [8] F. S. Sorce, S. Ngo, C. Lowe, A. C. Taylor, J. Mater. Sci. 54, 7997-8009 (2019).
  • [9] I. Kacar, F. Ozturk, F. Jarrar, Journal of Modern Mechanical Engineering and Technology 1, 68-74 (2014).
  • [10] A. Andersson, AIP Conference Proceedings, 778. Melville, NY: American Institute of Physics, 113-118 (2005).
  • [11] E. Fuente-Lopez, F. M.l Trespaderne, Lect. Notes. Comput. Sc. 5815, 345-353 (2019).
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  • [13] A. Zoescha, T. Wiener, M. Kuhlb, Proc. CIRP. 33, 179-184 (2015).
  • [14] T. Giesko, A. Zbrowski, P. Czajka, Problemy Eksploatacji 1, 97-108 (2007) (in Polish).
  • [15] T. Chezan, T. Khandeparkar, J. van Beeck, M. Sigvant, Journal of Physics: Conference Series 1063, 1-6 (2018).
  • [16] C. Jaremenko, N. Ravikumar, E. Affronti, M. Merklein, A. Maier, Determination of Forming Limits in Sheet Metal Forming Using Deep Learning. Materials 12 (1051), 1-17 (2019).
  • [17] D. Banabic, Sheet metal forming processes: Constitutive modelling and numerical simulation, Springer-Verlag, Berlin Heidelberg (2010).
  • [18] A. M. Erichsen, Stahl und Eisen, 34, 879-882 (1914) (in German).
  • [19] S. Y. Chung, H. W. Swift, P. I. Mech. Eng. 165, 199-223 (1951).
  • [20] H. W. Swift, Sheet Metal Industries 31, 817-828 (1954).
  • [21] A. Kocańda, C. Jasiński, Arch. Civ. Mech. Eng. 16, 211-216 (2016).
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3456f69f-5529-42dc-97ad-3271b20500f1
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