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

Peng Zhao, Yinfeng He, Gustavo F. Trindade, Martin Baumers, Derek J. Irvine, Richard J.M. Hague, Ian A. Ashcroft, Ricky D. Wildman

Research output: Journal PublicationArticlepeer-review

16 Citations (Scopus)


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.

Original languageEnglish
Article number109889
JournalMaterials and Design
Publication statusPublished - Oct 2021
Externally publishedYes


  • Additive manufacturing
  • Inkjet printing
  • Modelling
  • Optimisation
  • Polymerisation
  • UV light

ASJC Scopus subject areas

  • Materials Science (all)
  • Mechanics of Materials
  • Mechanical Engineering


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