Stereolithography (SLA) is an additive manufacturing method with one of the highest accuracies (down to 100 nm) of all solid freeform techniques and has been used in various areas, such as medicine, automotive, aerospace, electronics, and others. However, most resins available nowadays are derived from petroleum. Its toxicity, low biocompatibility, and growing environmental concerns are limiting its application. This review discusses the development of biobased and biocompatible materials for different SLA processes as well as the usage of nanocomposites to increase their applicability. A comprehensive overview of the SLA technologies, photopolymerization chemistry, and resin properties are also provided. Finally, various examples using different types of materials are explored, to show the current and future capabilities of the SLA technique.

(2021). Nanomaterials for 3D Printing of Polymers via Stereolithography: Concept, Technologies, and Applications . In MACROMOLECULAR MATERIALS AND ENGINEERING. Retrieved from http://hdl.handle.net/10446/184960

Nanomaterials for 3D Printing of Polymers via Stereolithography: Concept, Technologies, and Applications

Rosa, Raphael;Rosace, Giuseppe
2021-01-01

Abstract

Stereolithography (SLA) is an additive manufacturing method with one of the highest accuracies (down to 100 nm) of all solid freeform techniques and has been used in various areas, such as medicine, automotive, aerospace, electronics, and others. However, most resins available nowadays are derived from petroleum. Its toxicity, low biocompatibility, and growing environmental concerns are limiting its application. This review discusses the development of biobased and biocompatible materials for different SLA processes as well as the usage of nanocomposites to increase their applicability. A comprehensive overview of the SLA technologies, photopolymerization chemistry, and resin properties are also provided. Finally, various examples using different types of materials are explored, to show the current and future capabilities of the SLA technique.
2021
Rosa, Raphael; Rosace, Giuseppe
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/184960
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