| KEYWORD |
Wear measurements and topographic surface characterization performed by robots and supported by machine learning methods.
keywords COLLABORATIVE ROBOTICS, HUMAN MACHINE INTERACTION, QUALITY CONTROL, SURFACE TOPOGRAPHY MICROSCOPE, WEAR
Reference persons DARIO ANTONELLI, MAURIZIO GALETTO, GIANFRANCO GENTA, DOMENICO AUGUSTO FRANCESCO MAISANO
Research Groups Quality Engineering and Management Group
Thesis type EXPERIMENTAL
Description The thesis activity is aimed at characterizing the surface wear of die-casting/die-forging molds through non-destructive optical measurement devices integrated on cobot arms. The student relying on the resources of the Mind4Lab metrology room of DIGEP will use advanced cobot measurement systems for the geometry and topography of the worn-out molds. The wear will be evaluated with numerical methods based on machine vision and correlated, through machine learning, with the wear modes characterized by electron microscopy.
Deadline 25/05/2023
PROPONI LA TUA CANDIDATURA