The student David Abedul Moreno obtained an EXCELLENT CUM LAUDE grade


The student David Abedul Moreno obtained an EXCELLENT CUM LAUDE grade


The student David Abedul Moreno obtained an EXCELLENT CUM LAUDE grade



  • Thesis title: Characterization and digitalization of shear cutting processes


  • Presidency: Wolfram Volk (Technical University of Munich)
  • Vocal: Imanol Gil Acedo (Gestamp)
  • Vocal: Pello Jimbert Lacha (UPV/EHU)
  • Vocal: Urko Zurutuza Ortega (Mondragon Unibertsitatea)
  • Secretary: Borja Erice Echavarri (Mondragon Unibertsitatea)


In the current era of exponential technological advancement, the world is witnessing a transformative evolution across all sectors and the manufacturing industry stands at the forefront of this revolutionary change. With cutting-edge innovations and groundbreaking digital technologies, the manufacturing sector has been elevated to new heights of efficiency and precision. As the manufacturing industry continues to embrace these digital advancements, it becomes increasingly crucial to extend their application to specific processes, for instance to shear cutting processes. The implementation of digital technologies in shear cutting processes holds immense potential to improve the way materials are separated and fabricated. By leveraging Artificial Intelligence-driven algorithms or employing digital twins for real-time simulations, manufacturers can enhance the accuracy, speed, and adaptability of shear cutting, leading to reduced waste, improved material utilization, and enhanced overall productivity.

The application of digital technologies to shear cutting processes has been effectively addressed through two significant approaches. Firstly, the development of a process force and energy prediction tool, based on Machine Learning algorithms, has led to enhanced inputs for designing and manufacturing of blanking lines as well as accurate estimations of force and energy requirements to cut materials with varying mechanical properties and thicknesses. Secondly, the debate of considering thermal and strain rate effects on Finite Element simulations during shear cutting has been addressed, characterizing the plastic and fracture behaviour of a 2205 Duplex stainless steel at different temperatures and strain rates and utilizing it to develop Finite Element models that incorporate these phenomena, ensuring more accurate and reliable simulations of shear cutting operations. Furthermore, to validate these models, comprehensive experimental tests have been conducted. Cut-to-length shear cutting tests and punching tests have been utilized to thoroughly study the various phenomena occurring during shear cutting operations, thus combining numerical and experimental approaches.

Addressing these crucial aspects and incorporating digital technologies into cutting operations allows the manufacturing industry to optimise these type of processes. These advancements not only contribute to mark more steps forward for shear cutting processes but also exemplify the potential of digital technologies in driving progress and innovation throughout the manufacturing landscape.