Multiscale mechanical characterization of biobased photopolymers towards sustainable vat polymerization 3D printing

Lublin, Derek; Hao, Taige; Malyala, Raj; Kisailus, David

doi:10.1039/d4ra00574k

RSC Adv.

2024

DOI: 10.1039/d4ra00574k

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Multiscale mechanical characterization of biobased photopolymers towards sustainable vat polymerization 3D printing

Derek Lublin,

Taige Hao,

Raj Malyala

et al.

Abstract: In vat polymerization (VP) 3D printing, there is an urgent need to expand characterization efforts for resins derived from natural resources to counter the increasing consumption of fossil fuels required to synthesize conventional monomers.

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Prediction of Mechanical Properties of 3D Printed Particle-Reinforced Resin Composites

Rooney,

Dong,

Basak

et al. 2024

J. Compos. Sci.

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This review explores fundamental analytical modelling approaches using conventional composite theory and artificial intelligence (AI) to predict mechanical properties of 3D printed particle-reinforced resin composites via digital light processing (DLP). Their mechanisms, advancement, limitations, validity, drawbacks and feasibility are critically investigated. It has been found that conventional Halpin-Tsai model with a percolation threshold enables the capture of nonlinear effect of particle reinforcement to effectively predict mechanical properties of DLP-based resin composites reinforced with various particles. The paper further explores how AI techniques, such as machine learning and Bayesian neural networks (BNNs), enhance prediction accuracy by extracting patterns from extensive datasets and providing probabilistic predictions with confidence intervals. This review aims to advance a better understanding of material behaviour in additive manufacturing (AM). It demonstrates exciting potential for performance enhancement of 3D printed particle-reinforced resin composites, employing the optimisation of both material selection and processing parameters. It also demonstrates the benefit of combining empirical models with AI-driven analytics to optimise material selection and processing parameters, thereby advancing material behaviour understanding and performance enhancement in AM applications.

show abstract

Prediction of Mechanical Properties of 3D Printed Particle-Reinforced Resin Composites

Rooney,

Dong,

Basak

et al. 2024

J. Compos. Sci.

View full text Add to dashboard Cite

show abstract

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Multiscale mechanical characterization of biobased photopolymers towards sustainable vat polymerization 3D printing

Abstract: In vat polymerization (VP) 3D printing, there is an urgent need to expand characterization efforts for resins derived from natural resources to counter the increasing consumption of fossil fuels required to synthesize conventional monomers.

Cited by 1 publication

References 37 publications

Prediction of Mechanical Properties of 3D Printed Particle-Reinforced Resin Composites

Prediction of Mechanical Properties of 3D Printed Particle-Reinforced Resin Composites

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