The shear cutting of electrical steel sheets has a significant influence on the magnetic and mechanical material properties. Due to plastic deformation and strain hardening in the area of the punched edge, the electrical steel sheets exhibit a characteristic hardness profile. This study deals with the modelling of the resulting hardness profile by means of finite‐element simulations. Elastic‐plastic material properties are obtained from spherical nanoindentation testing as a function of the local hardness. In particular, representative stress‐strain values are determined by applying Tabor's concept of indentation stress‐strain curves. The choice of the appropriate stress‐ and strain‐constraint factors is discussed with respect to the nanoindentation test setup used. Following this, the representative stress‐strain values are analytically described to determine true stress‐strain curves for the local assignment of different material models depending on the hardness. The implementation of the modelling approach in a finite‐element simulation is presented for a punched electrical steel sheet specimen under monotonic loading. The simulation results are basically in good agreement with experimental data and confirm the expected influence on the mechanical material behaviour due to the shear cutting process.

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The utilization of simulation procedures is gaining increasing attention in the product development of extrusion blow molded parts. However, some simulation steps, like the simulation of shrinkage and warpage, are still associated with uncertainties. The reason for this is on the one hand a lack of standardized interfaces for the transfer of simulation data between different simulation tools, and on the other hand the complex time‐, temperature‐ and process‐dependent material behavior of the used semi crystalline polymers. Using a new vendor neutral interface standard for the data transfer, the shrinkage analysis of a simple blow molded part is investigated and compared to experimental data. A linear viscoelastic material model in combination with an orthotropic process‐ and temperature‐dependent thermal expansion coefficient is used for the shrinkage prediction. A good agreement is observed. Finally, critical parameters in the simulation models that strongly influence the shrinkage analysis are identified by a sensitivity study.