Your browser doesn't support javascript.
loading
Analytical and Numerical Models of Thermoplastics: A Review Aimed to Pellet Extrusion-Based Additive Manufacturing.
Pricci, Alessio; de Tullio, Marco D; Percoco, Gianluca.
Afiliação
  • Pricci A; Department of Mechanics, Mathematics and Management (DMMM), Polytechnic University of Bari, Via E. Orabona 4, 70125 Bari, Italy.
  • de Tullio MD; Department of Mechanics, Mathematics and Management (DMMM), Polytechnic University of Bari, Via E. Orabona 4, 70125 Bari, Italy.
  • Percoco G; Department of Mechanics, Mathematics and Management (DMMM), Polytechnic University of Bari, Via E. Orabona 4, 70125 Bari, Italy.
Polymers (Basel) ; 13(18)2021 Sep 18.
Article em En | MEDLINE | ID: mdl-34578060
Recent developments in additive manufacturing have moved towards a new trend in material extrusion processes (ISO/ASTM 52910:2018), dealing with the direct extrusion of thermoplastic and composite material from pellets. This growing interest is driven by the reduction of costs, environmental impact, energy consumption, and the possibility to increase the range of printable materials. Pellet additive manufacturing (PAM) can cover the same applications as fused filament fabrication (FFF), and in addition, can lead to scale towards larger workspaces that cannot be covered by FFF, due to the limited diameters of standard filaments. In the first case, the process is known as micro- or mini-extrusion (MiE) in the literature, in the second case the expression big area additive manufacturing (BAAM) is very common. Several models are available in literature regarding filament extrusion, while there is a lack of modeling of the extrusion dynamics in PAM. Physical and chemical phenomena involved in PAM have high overlap with those characterizing injection molding (IM). Therefore, a systematic study of IM literature can lead to a selection of the most promising models for PAM, both for lower (MiE) and larger (BAAM) extruder dimensions. The models concerning the IM process have been reviewed with this aim: the extraction of information useful for the development of codes able to predict thermo-fluid dynamics performances of PAM extruders.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article