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Vol. 48 No. 1 (2023)
Original articles

Deep drawing with unconventional tooling: impact of process parameters on a part accuracy

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  • Jovica Ilić,
  • Tatjana Grbić,
  • Miodrag Hadžistević,
  • Mladomir Milutinović,
  • Milija Kraišnik,
  • Dejan Movrin
Jovica Ilić
University of Banja Luka, Faculty of Mechanical Engineering, Banja Luka, Bosnia and Herzegovina
Tatjana Grbić
University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia
Miodrag Hadžistević
University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia
Mladomir Milutinović
University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia
Milija Kraišnik
University of East Sarajevo, Faculty of Mechanical Engineering, East Sarajevo, Republic of Srpska, Bosnia and Hercegovina
Dejan Movrin
University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia

Published 2023-06-20

abstract views: 106 // Full text article (PDF): 57


Keywords

  • deep drawing,
  • rapid tooling,
  • Taguchi method

How to Cite

[1]
J. Ilić, T. Grbić, M. Hadžistević, M. Milutinović, M. Kraišnik, and D. Movrin, “Deep drawing with unconventional tooling: impact of process parameters on a part accuracy”, Adv Techn Mat, vol. 48, no. 1, pp. 27–31, Jun. 2023.
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This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

The analysis of influencing factors and their effects on the deep drawing process is essential for producing cost-effective, high-quality workpieces. In this study, the impact of deep drawing process variables, including die radius, blank holder force, and lubrication conditions, on the distribution of wall thickness and changes in radius for axisymmetric workpieces is explored. For the investigation, specialized tooling was created, with core components such as the punch, die, and blank holder made from a two-component resin and fabricated using rapid tooling technology - vacuum casting. The Taguchi method was employed as a statistical tool for planning the experiments, which allowed the impact of process factors to be determined with minimal variability.

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