The research interests of the group are focused in nonlinear and coupled problems related with industrial and biomedical applications of Computational Mechanics covering topics such as inverse analysis, contact problems and plasticity.
Up to day, we are working in two main research lines, one associated to Heat Transfer, and another to Biomechanics.
We are looking for research teams or projects in order to increase and improve our capacity.
Research Line 1:
Systematic Characterization of the Heat Transfer Coefficient of Quenching Process using Applied Statistics and Computational Mechanics.
The quenching of metals is a key operation in the heat treatment processes used in the metallurgical Industry for obtaining the desired mechanical properties Since quenching is a complex and rapid process and its simulation requires solving multi scale and multi physics problems including phase transformations, its analysis mainly relays on experimental tests.
Inverse analysis based on the temperature measurements is used for the characterization of the heat transfer coefficient distribution at the material surface which is a parameter that governs the process and allows the numerical simulation of the material microstructure obtained. The aim of this research is the development of a systematic methodology for the characterization of the heat transfer coefficients based on the reconstruction of the probe temperature field avoiding the use of HTC of trial functions or approximation methods.
Doctoral Student
Research line 2:
Mechanobiological Optimization of scaffolds for bone regeneration in Long Segmental defects using Computational Mechanics.
The new generation of orthopaedic implants targets not only stability and load support, but also damaged tissue regeneration. 3D printed porous titanium structures development opens an exploration field in this area. Additive manufacturing technology allows, by design and simulation iterative cycles, the variation in macrostructural properties in order to mimic natural biomechanics of bone tissue. Large segmental defects in long bones is one of the most challenging problems. In this research the design and optimization by computer simulation based on the Finite Element Method, of trabecular structures generated by periodic 3D arrays of unit cells is used for the reconstruction of these type of bone defects.
Members
Dr. Ing Miguel Angel Cavaliere
Associate Professor. Computational Mechanics Expert
