Traceable onboard metrology for machine tools and large-scale systems
This PhD study aims to improve the accuracy of MTs and also to develop knowledge for traceable coordinate measurement machine (CMM) measurements on MTs. The technology to run a dimensional measurement on an MT already exists but the knowledge to do traceable measurements is under research, as it is reported in this thesis.
Progress in industrial photogrammetry by means of markerless solutions
The main objective of this thesis is to develop and characterize the scope of a novel and edge-cutting approaches based on markerless photogrammetric solutions. Hence, the presented study is focused on going beyond the state of art limitations of industrial photogrammetry avoiding or reducing considerably the employment of artificial targets.
Development of a high torque density and efficiency axial flux switched reluctance motor for electric vehicle
This research is focussed on the development of a high torque density and efficiency motor, suitable for cost-effective mass production.
Tribocorrosion of high-strength low-alloy steels and coatings used in offshore applications
The present thesis deals with the assessment of tribocorrosion of HSLA steels used in chains of offshore mooring lines, which have been reported to be profoundly affected by both wear and corrosion during their service life. Additionally, the second part of the thesis is focused on the evaluation of protective coatings employed for the protection of steel components and structures from corrosion.
Double Smart Energy Harvesting System for self-powered Industrial IoT
The present thesis work combines two alternatives of energy input and management on a single architecture. A mini-reactor and an indoor photovoltaic cell as energy harvesters and a double power manager with AC/DC and DC/DC converters controlled by a low power single controller.
Prediction of Moulds Wear in High Pressure Die Casting and Plastic Injection Moulding
This doctoral thesis deals with wear mechanisms, setting protocols to simulate them at laboratory scale and studying the influence of different process parameters, in order to predict the wear of moulds.