2023
DOI: 10.3390/polym15020287
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Rational Design and Characterization of Materials for Optimized Additive Manufacturing by Digital Light Processing

Abstract: Additive manufacturing technologies are developed and utilized to manufacture complex, lightweight, functional, and non-functional components with optimized material consumption. Among them, vat polymerization-based digital light processing (DLP) exploits the polymerization of photocurable resins in the layer-by-layer production of three-dimensional objects. With the rapid growth of the technology in the last few years, DLP requires a rational design framework for printing process optimization based on the spe… Show more

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Cited by 8 publications
(4 citation statements)
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“…The negative effect of the secondary thermal curing step can be eliminated by applying optimisation to the secondary curing cycle [99]. Similarly, an optimisation framework was designed in a digital light processing (DLP) photopolymerisation process to obtain the optimal printing parameters such as penetration depth and critical energy for a wide range of materials like polymers, ceramics, and metal suspensions [100]. There is also evidence that shows that light self-trapping during the photopolymerisation process can deliver products with high aspect ratio structures with a wide range of biological applications [101].…”
Section: Application Of Machine Learning In Process Modellingmentioning
confidence: 99%
“…The negative effect of the secondary thermal curing step can be eliminated by applying optimisation to the secondary curing cycle [99]. Similarly, an optimisation framework was designed in a digital light processing (DLP) photopolymerisation process to obtain the optimal printing parameters such as penetration depth and critical energy for a wide range of materials like polymers, ceramics, and metal suspensions [100]. There is also evidence that shows that light self-trapping during the photopolymerisation process can deliver products with high aspect ratio structures with a wide range of biological applications [101].…”
Section: Application Of Machine Learning In Process Modellingmentioning
confidence: 99%
“…This technique has been widely applied in the AM of ceramic components [ 21 , 22 , 23 , 24 ]. On the other hand, the DLP process uses a digital projector to irradiate UV light for a sectional image onto the liquid resin surface [ 25 ] and has also been utilized in the AM of various ceramic components [ 26 , 27 , 28 ].…”
Section: Introductionmentioning
confidence: 99%
“…However, because of their superior mechanical properties and thermal resistance, thermosets dominate the market in more industrial AM applications when using non-reinforced polymers. Processes to 3D print thermosets include stereolithography (SLA) [ 7 , 8 , 9 ], digital light processing (DLP) [ 10 , 11 ], and liquid deposition modeling (LDM) [ 1 ].…”
Section: Introductionmentioning
confidence: 99%