Two performance indices of parts in Polylactic Acid manufactured through a material extrusion process: analysis of their dependence on process parameters

Abstract

Laser sintering, also known as powder bed fusion—laser beam, employs a laser to sinter-powdered polymeric materials, such as Polyamide 12. Despite the process, a significant portion of the powder remains unsintered. However, due to elevated temperatures, material degradation occurs, altering its chemical characteristics. Industrially, a common practice involves utilizing a mixture of virgin and aged powder, with the latter having undergone multiple thermal cycles without sintering. Developing an effective powder recycling methodology is fundamental for fully realizing the potential of Polyamide 12. This work focuses the attention on reused powder to manufacture parts in Polyamide 12 through selective laser sintering and evaluates the correlation between the properties of reused powder and the strength of manufactured part through six consecutive printing processes. To achieve this, a wide experimental approach was planned and developed to arrive to establish a clear relationship between the degree of crystallinity of the powder and the ultimate tensile strength of the part made from that powder. This relationship may be used to choose the kind of powder based on the strength required to the manufactured part in exercise. At the same time, if only a kind of powder is available, this relationship allows to predict the mechanical strength of the part manufactured.

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Titel Two performance indices of parts in Polylactic Acid manufactured through a material extrusion process: analysis of their dependence on process parameters
Medien The International Journal of Advanced Manufacturing Technology
Verlag Springer
Band 134
Verfasser Valentina Vendittoli, Wilma Polini
Seiten 4689–4699
Veröffentlichungsdatum 16.09.2024
Zitation Vendittoli, Valentina; Polini, Wilma (2024): Two performance indices of parts in Polylactic Acid manufactured through a material extrusion process: analysis of their dependence on process parameters. The International Journal of Advanced Manufacturing Technology 134, 4689–4699.