Ragni, Matteo (2018) Intelligent Manufacturing - Engaging Industry 4.0 Challenges through Emerging Technologies. PhD thesis, University of Trento.
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The Industry 4.0 challenge is to exploit the synergy of different technologies in order to achieve the results required by its specifications. This chapter presents: (a) the state of the art in Augmented Reality applied to industrial engineering and manufacturing machines, (b) insights on the implementation of optimal feed-rate interpolation for computer numerical control machine tools, (c) an application of knowledge-based techniques such as computer algebra systems in the implementation of solvers for optimal control problems, and (d) challenges in the application of artificial neural networks to the massive amount of unlabeled data available in the industrial practice. It is shown how these topics, wich may appear as distant one from each other, play a central and correlated role in the Industry 4.0.
|Item Type:||Doctoral Thesis (PhD)|
|Doctoral School:||Materials, Mechatronics and Systems Engineering|
|Subjects:||Area 09 - Ingegneria industriale e dell'informazione|
Area 01 - Scienze matematiche e informatiche > INF/01 INFORMATICA
|Repository Staff approval on:||06 Jun 2018 12:04|
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