Modelling the influence of UV curing strategies for optimisation of inkjet based 3D printing

A predictive model is developed to assist in the design and manufacture of structures by inkjet based 3D printing (IJ3DP)/additive manufacturing. IJ3DP often exploits photopolymerisation to rapidly convert a photoreactive liquid ink into a solid product. Unfortunately, deviations from the intended design and product performance are often observed and a lack of understanding of the underlying processes and their interactions prevents users from resolving these issues. We develop and validate a predictive model that incorporates the critical processing parameters, including UV source pathway, UV intensity, printing strategy, and interlayer attenuation, such that we are able to predict the degree of ink conversion throughout the product. We show how this model can then be used to guide users by demonstrating the coupling of this description with a cost model and illustrating how printing strategy affects descriptors of both the quality and cost of production. CO 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).

Automated summary

A predictive model is developed for assisting the design and manufacture of structures using inkjet based 3D printing/additive manufacturing. This model incorporates critical processing parameters to predict ink conversion throughout the product, guiding users to optimize printing strategies for improved production quality and cost efficiency.