Sofia Catalucci, Ph.D. Email and Phone Number

Research Fellow in In-process Optical Sensing at the Manufacturing Metrology TeamWithin the Midlands Centre for Data-Driven Metrology, this role implies research into industrial optical sensing technologies and development of methods for fast data analysis, particularly for in-process measurement applications as a continuation of the PhD. The project focuses on optical coordinate metrology solutions for advanced manufacturing applications, including the design in prototypical form of… Show more Research Fellow in In-process Optical Sensing at the Manufacturing Metrology TeamWithin the Midlands Centre for Data-Driven Metrology, this role implies research into industrial optical sensing technologies and development of methods for fast data analysis, particularly for in-process measurement applications as a continuation of the PhD. The project focuses on optical coordinate metrology solutions for advanced manufacturing applications, including the design in prototypical form of optical measuring instruments, development of machine learning algorithms for point cloud analysis, and uncertainty evaluation with point clouds. Show less

Research Associate in In-process Optical Sensing at the Manufacturing Metrology Team

Industrial sectors are nowadays shifting towards automated in-line smart processes for quality control of manufactured workpieces. Organised in an intelligent network of machines and optimised measuring procedures, smart measuring instruments are envisioned as capable of autonomously planning a measurement process and assessing measurement performance while an inspection task is in progress. From a metrology standpoint, optical coordinate measurements appear as suitable candidate technologies… Show more Industrial sectors are nowadays shifting towards automated in-line smart processes for quality control of manufactured workpieces. Organised in an intelligent network of machines and optimised measuring procedures, smart measuring instruments are envisioned as capable of autonomously planning a measurement process and assessing measurement performance while an inspection task is in progress. From a metrology standpoint, optical coordinate measurements appear as suitable candidate technologies for the development of such instruments, due to their potential in featuring high densities in point-based sampling acquired at relatively fast rates. However, without metrics for quality, the employment and integration of such smart instruments cannot be fully accomplished.This PhD project addresses the issue of quality in measurement, proposing algorithmic solutions to compute indicators of measurement performance directly from the measured point clouds and in a fully automated way. A first set of indicators investigates the relationships between the measured point cloud and the reference geometry to assess coverage and sampling density in relation to the individual surfaces of the measured part. A second set investigates local dispersion of the point cloud, as well as local bias, by using a statistical point cloud models fitted to repeated measurement data. The second set of indicators is useful to assess metrological performance in repeatability or reproducibility conditions.The solutions developed represent novel measurement performance assessment tools, which can be integrated into smart measurement systems. In the future, such instruments will be capable of self-assessing their own performance in-process planning the most suitable corrective actions, and will be integrated with manufacturing machines, leading to the realisation of more flexible and more autonomous production systems. Show less

Erasmus Traineeship Program candidateUniversity of NottinghamNottingham, UKThis internship focuses on the improvement of knowledge and engineering technique of 3D modelling, photomodelling, 3D scanning, 3D printing, virtual and augmented reality, related to the activity of capture, visualization and physical prototyping of 3-dimensional models. After the reconstruction of several 3D point clouds and mesh models, the next step involves the comparison between three-dimensional… Show more Erasmus Traineeship Program candidateUniversity of NottinghamNottingham, UKThis internship focuses on the improvement of knowledge and engineering technique of 3D modelling, photomodelling, 3D scanning, 3D printing, virtual and augmented reality, related to the activity of capture, visualization and physical prototyping of 3-dimensional models. After the reconstruction of several 3D point clouds and mesh models, the next step involves the comparison between three-dimensional models recreated through photomodelling technique and point clouds data of the same objects produced with the Einscan-S 3D scanner. The comparison between different 3D imaging systems has as starting point the topic developed during the writing of my Master's Thesis. Through the use of VR headsets (Oculus Rift and Google Cardboard), the research includes the development and design of virtual reality experiences and the displays of 3D models on open web-service as Sketchfab. Show less