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Artificial Intelligence for Smart Manufacturing

Pawel Chwalewski

Artificial Intelligence for Smart Manufacturing.

Rel. Manuela De Maddis, Giulia Bruno. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2021

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The purpose of this work is to give understanding of the application of image processing using machine learning concept: how innovation in form of AI can drive modern manufacturing company or industry sector. Work is demonstrated by a case study related to resistance spot welding process and results in the benefits related to production optimization and assessment in preliminary quality control stage. Experimental part of the thesis provides example of solution how various python libraries can be used in the similar projects. Final results illustrates graphs of electrode behavior in form of change of diameter, area and distances from the center of electrode, which gives interesting conclusion being compared to previously described theoretical data

Relators: Manuela De Maddis, Giulia Bruno
Academic year: 2021/22
Publication type: Electronic
Number of Pages: 57
Corso di laurea: Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo)
Classe di laurea: New organization > Master science > LM-33 - MECHANICAL ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/20766
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