Francesco Patane'
CFD and Machine Learning for performance analysis in 3D printed heat exchangers.
Rel. Luca Bergamasco, Andrea Ferrero, Matteo Fasano. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Meccanica, 2021
Abstract
In many industrial contexts, such as in the automotive, energetic, aeronautic and chemical sector, thermal management plays a fundamental role. As an example, in the automotive field the electrification is leading to a major requirement in terms of thermal management of the electronic components, like batteries or electronic converters. This leads to a necessary improvement of heat exchangers technology. In recent years, additive manufacturing (AM) has started to provide new design possibilities. Additive manufacturing allows indeed the production of more complicated parts than those with traditional production systems, for example, micro-lattice structures. The 3D printed lattice structures allow a reduction of material utilised, a lower product density and higher surface-volume ratios.
These characteristics make lattice structures intriguing for heat exchangers development
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Informazioni aggiuntive
Corso di laurea
Classe di laurea
URI
![]() |
Modifica (riservato agli operatori) |
