Thermal error modelling for a CNC machine based on data driven analysis

Carli, Giorgio (2021) Thermal error modelling for a CNC machine based on data driven analysis. [Laurea magistrale], Università di Bologna, Corso di Studio in Automation engineering / ingegneria dell’automazione [LM-DM270], Documento full-text non disponibile
Il full-text non è disponibile per scelta dell'autore. (Contatta l'autore)


CNC machines tools are affected by precision error and the main cause of it, for about the 70 percent, is the thermal error. This thermal deformation compensation is becoming the main target for research in theory and industry environment. The internship executed in Giuliani, a worldwide known producer of machines for the lock industry, has the goal to study and create an efficient model for the units of the TDRILL, the company’s rotary transfer machine. The focus is on the generation of thermal error’s model based on data driven analysis; in particular two approaches are been followed: the first one consists in the development of a multiple linear regression model based on the least squares criteria while the other one uses the neural networks. The project mixed theoretical concepts for the initial design and practical consideration and solution for the improvement of the model referring to the specific machine. The final model’s residuals are under the accuracy request by the company (10 um) in all the different simulations that are been executed during the internship.

Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Carli, Giorgio
Relatore della tesi
Correlatore della tesi
Corso di studio
Ordinamento Cds
Parole chiave
thermal error,data driven analysis,multiple linear regression,least squares,neural networks
Data di discussione della Tesi
10 Marzo 2021

Altri metadati

Gestione del documento: Visualizza il documento