ESI Group is a leading innovator in Virtual Prototyping software and services for manufacturing industries, announces the launch of a 5-year joint research program with the CEU Cardenal Herrera University (CEU-UCH) in Valencia, Spain. The aim of this program is to achieve a significant technological leap in the field of virtual manufacturing of materials through the creation of an Endowed Chair at the University and by facilitating high level training in this field.
The Endowed Chair created with CEU-UCH enables both ESI and the Spanish university to conduct, over the next 5 years, advanced research on the topic of virtual manufacturing. The University aims to advance the state of the art of modeling manufacturing processes, to expand its spectrum of competences, and to consolidate its position as a national and international leader in the fields of real time control and the numerical simulation of materials and manufacturing processes. To this initiative, ESI brings its expertise and its software platform for Smart Virtual Prototyping, in expectation of the further development of modeling techniques and numerical methodologies that provide the strong predictive capacity needed to optimize industrial processes and the performance of those processes over time.
Antonio Falco Montesinos, Professor of Applied Mathematics at CEU-UCH, is appointed Chairman and the research operations of the Chair will be overseen by Anne Chambard, Systems Simulation Platform Product Manager at ESI Group. Over the next 5 years the following topics will be investigated, leveraging the competences available at CEU-UCH, ESI and national, European and international partners:
- robotized systems and processes
- transport and optimal trajectories
- composites forming
- image, vision and uncertainty
- bioengineering and topological optimization involving composites
This joint program will tackle recurring engineering challenges in different sectors. In particular geometric data analysis will be used to achieve better control of automated systems and processes and to reduce computing time for models of equipment, such as robots, that move in trajectories. Here ESI and its partners hope to make progress in robot systems by building a generic mechanism to determine the optimal trajectory.