Physical Modelling and Numerical Simulation of the Deep Drawing Process of a Box-Shaped Product Focused on Material Limits Determination

Author:

Tomáš Miroslav,Evin Emil,Kepič Ján,Hudák Juraj

Abstract

Similitude theory helps engineers and scientists to accurately predict the behaviors of real systems through the application of scaling laws to the experimental results of a scale model related to the real system by similarity conditions. The theory was applied when studying the deep drawing process of a bathtub made from cold rolled low carbon aluminum-killed steel from the point of view of material limits. The bathtub model was created on the basis of geometric, physical, and mechanical similarity on a scale of 1:5. Thus, simulations and physical models were created. The simulation model was used to verify the combination yield locus/hardening law on the basis of comparing the thickness change. As a result, Hill 48/Krupkowski showed the minimal deviation by comparing data evaluated from numerical simulations and that measured on the physical model. Additionally, material anisotropy was modelled when virtual materials were defined from experimentally measured values of the plastic strain ratio. As an outcome, extra deep drawing quality steel with an average plastic strain ratio of rm ≥ 1.47 and an average strain hardening exponent of nm ≥ 0.23 must be used for the deep drawing of the bathtub.

Publisher

MDPI AG

Subject

General Materials Science,Metals and Alloys

Reference47 articles.

1. Three-dimensional numerical simulation of the deep-drawing process using solid finite elements;Menezes;J. Mater. Process. Technol.,2000

2. Process simulation in stamping – recent applications for product and process design

3. Mathematical Modelling and Simulation of Technological Processes—Deep Drawing;Spišák,2000

4. Dimensional Analysis and Theory of Models;Langhaar,1951

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