COMPARATIVE ANALYSIS OF THE IMPACT OF DIE DESIGN ON ITS LOAD AND DISTRIBUTION OF STRESS DURING EXTRUSION
Irena NOWOTYŃSKA
i_nowot@prz.edu.pl* Rzeszow University of Technology, The Faculty of Management, Department of Computer Engineering in Management, Al. Powstańców Warszawy 8, 35-959 Rzeszów, (Poland)
Stanisław KUT
* Rzeszow University of Technology, The Faculty of Mechanical Engineering and Aeronautics, Department of Materials Forming and Processing, Al. Powstańców Warszawy 8, 35-959 Rzeszów (Poland)
Abstract
In the paper a numerical comparative analysis of stresses in a steel die compressed by a ring during the extrusion process was presented. In the research, three design solutions of the die were used. The solutions vary depending on the quotient of the wall thickness of the die insert and the wall thickness of the compression ring while maintaining a constant tool diameter. The stresses occurring in the areas of the ring and the die were calculated depending on the design version of the tool and the pressure value. The analysis was carried out for the quotients of the die wall thickness to the ring wall thickness of 0.57, 1 and 1.75 and three press-in values of 0.004, 0.008 and 0.016 mm. The conducted research allowed determining the impact of the die design and assembly interference on the load bearing capacity. It was discovered that the use of a die insert with a smaller thickness compared to the thickness of the compression ring was the most advantageous from the point of view of the circumferential stresses.
Keywords:
extrusion, FEM simulation, compressed dieReferences
Groenbaek, J., & Lund, E. (2008). Tool Optimization by Means of Effective Prestressing System. New Delhi, India: Conference Asia Forge.
Google Scholar
Frater, J. L. (1989). Application of Finite Element Methods to the Design of Prestressed Tooling. Journal Mater. Shaping Technology, 7(1), 49–55. https://doi.org/10.1007/BF02834802
DOI: https://doi.org/10.1007/BF02834802
Google Scholar
Joun, M. S., Lee, M. C., & Park, J. M. (2002). Finite element analysis of prestressed die set in cold forging. International Journal of Machine Tools & Manufacture, 42, 1213–1222.
DOI: https://doi.org/10.1016/S0890-6955(02)00079-2
Google Scholar
Kut, S., & Nowotyńska, I. (2011). Comparative numerical analysis of die wear during extrusion process of metals with different properties. Hutnik, Wiadomości Hutnicze, 78(11), 925–929.
Google Scholar
Nowotyńska, I., & Kut, S. (2014). Analiza numeryczna naprężeń podczas wyciskania w matrycy zwykłej i sprężonej. Hutnik, Wiadomości Hutnicze, 81(7), 465–469.
Google Scholar
Pater, Z. (2003). Ołów jako materiał modelowy do symulacji procesów obróbki plastycznej na gorąco. Obróbka Plastyczna Metali, 14(4), 41–48.
Google Scholar
Yeo, H. T., Choi, Y., & Hur, K. D. (2001). Analysis and Design of the Prestressed Cold Extrusion Die. The International Journal Advanced Manufacturing Technology, 18(1), 54–61.
DOI: https://doi.org/10.1007/s001700170094
Google Scholar
Zimpel, J. (1996). Obliczanie matryc wzmacnianych jednym pierścieniem. Obróbka Plastyczna Metali, 2, 43–56.
Google Scholar
Authors
Irena NOWOTYŃSKAi_nowot@prz.edu.pl
* Rzeszow University of Technology, The Faculty of Management, Department of Computer Engineering in Management, Al. Powstańców Warszawy 8, 35-959 Rzeszów, Poland
Authors
Stanisław KUT* Rzeszow University of Technology, The Faculty of Mechanical Engineering and Aeronautics, Department of Materials Forming and Processing, Al. Powstańców Warszawy 8, 35-959 Rzeszów Poland
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