XXXVII CYCLE - PON R&I 2014-2020 scholarships (DM 1061/2021)
Ascolta
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Phd Students |
Background and Research Project | Curriculum Vitae |
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Lo Greco Pierantonio |
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Pinto Valentina |
I am Valentina Pinto, PhD student in “Mechanical, Manufacturing, Management and Aerospace Innovation” at the University of Palermo. I have earned a Master Degree in biomedical engineering in 2021. During the last months of University, I had the opportunity to work in the bioengineering group of Ri.MED foundation, where I developed my thesis, working on a new approach to the implementation of PIV analysis for complex cardiovascular problems using SPH synthetic imaging. My PhD project is about the advanced structural characterization of shape memory alloys with superelastic behavior for the design of prostheses and biomedical devices. The project aims to use, in an innovative and combined way, two full-field measurement techniques, respectively of deformation and temperature: Digital Image Correlation and Differential Thermography using infrared cameras. The information obtained will offer the potential to develop more effective characterization, simulation and mechanical design tools for the creation of more effective and safe biomedical devices. |
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Quaranta Salvatore |
I am Salvatore Quaranta, PhD student in “Mechanical, Manufacturing, Management and Aerospace Innovation” at the University of Palermo. This project idea stems from the fact that in recent decades and in particular with the spread of the Covid-19 pandemic there has been a net increase in E-commerce which has led to an increase in congestion in urban centers and therefore to an increase in 'pollution. So my research project focuses on the optimization of urban logistics through the exploitation of innovative electric vehicles. In particular, we intend to develop specific algorithms for the optimization of urban distribution systems based on the use of e-cargo bikes, to study new methodologies for the optimized design of support infrastructures for the implementation of urban logistics systems and to optimize the design. of the vehicle for urban delivery operations. Then a flexible and modular e-CB will be proposed capable of operating in different scenarios, which allows manufacturing companies to better satisfy the preferences of a diversified target market, while achieving good efficiency in their supply chain, and a decrease pollution in urban centers. |
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