<p>Sheet metal forming processes are widely used in many industries, with blanking being one of the most common operations. The blanking process is highly sensitive to controlled parameters, such as clearance, and uncontrolled factors, like tool wear, which can significantly affect cut-edge quality and process stability. This study presents a numerical investigation of the blanking of a high-strength steel sheet commonly used in automotive applications, with particular emphasis on accurate material modeling. Experimental tests were conducted to characterize the elastoplastic behavior and fracture response of the sheet metal. The material behavior was modeled using J2 plasticity coupled with a Modified Mohr–Coulomb fracture criterion calibrated from experimental data. Finite element simulations were performed under different tool wear conditions and validated against experimental blanking force measurements. The results demonstrate good agreement between the predictions and the measurements with a maximum error of 11.2% on the blanking force curve and confirm the model’s ability to accurately predict blanking force evolution, providing a solid basis for process monitoring and digital-twin-based applications.</p>