Lorenzo D’Anastasio’s thesis, titled “Optimization of a Rear Camera Using CFD and Mesh Morphing,” presents a comprehensive exploration of aerodynamic optimization through advanced Computational Fluid Dynamics (CFD) analysis and mesh morphing techniques. Conducted in collaboration with Università degli Studi di Roma Tor Vergata, ENGYS, Volvo, and RBF Morph, this study underscores the contributions of RBF Morph software in achieving refined geometric modifications that enhance aerodynamic performance.
We are happy to invite you on May the 10TH to the Workshop entitled “Vega C launcher aerodynamic design methodologies and wind tunnel test activities” hosted at the Tor Vergata University of Rome. The invited speakers from AVIO are:
December 14th, 2022 the University of Rome “Tor Vergata” guested the workshop titled “Digital Twin for Aerospace”. The event was an occasion for researchers and engineers, from both academia and industry, to present the status of research on numerical analysis and design methodologies in the aerospace field. The topics focused on methods suitable to improve the design process of aircraft, rockets and satellites but it also offered the opportunity to highlight how other fields of engineering can benefit from the availability of numerical tools able to efficiently model the physics involved in complex mechanical systems.
The University of Rome “Tor Vergata” guested, December 14th, the workshop titled Digital Twins 4 Aerospace: CAE modelling of future mobility. The event was an occasion for researchers and engineers, from both academia and industry, to present the status of research in numerical analysis and design methodologies in the aerospace field. The topics focused on tools suitable to improve the design process of aircraft, rockets and satellites but it also offered the opportunity to highlighted how other field of engineering can benefit from the availability of numerical tools able to efficiently model the physics involved in complex mechanical systems. The workshop was organized by Marco Evangelos Biancolini and Ubaldo Cella, respectively Professor of Machine Design and researcher at the Enterprise Engineering department “Mario Lucertini”.
Our latest work, on the meshless strain computation from Digital Image correlation (DIC) data characterised by large dispolacements, was published in Materials.