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On the development of hybrid models to describe delivery time in autoinjectors

Friso, A; Palmer, M; Bano, G; Galvanin, F; (2024) On the development of hybrid models to describe delivery time in autoinjectors. In: Computer Aided Chemical Engineering. (pp. 157-162). Elsevier

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Abstract

Autoinjector (AJ) devices are medical devices that enable subcutaneous selfadministration of medicines. A key challenge for AJs is the evaluation of injection time because in can impact on the usability of the autoinjector. Several models have been presented in literature to describe the injection time in AJs with different grade of complexity and accuracy. The limitation of the existing models is that they depend only on geometrical properties of the AJs, rheology of the fluid injected and the speed of the plunger. However, these models do not consider the dependence of friction on the distance travelled by the piston. In this paper a new hybrid model is developed to describe the injection time in AJs, integrating physics-based elements from the literature with data driven components. Results show that the proposed model is able to predict in an accurate way the experimentally measured friction force acting on the plunger.

Type: Book chapter
Title: On the development of hybrid models to describe delivery time in autoinjectors
ISBN-13: 9780443288241
DOI: 10.1016/B978-0-443-28824-1.50027-2
Publisher version: https://doi.org/10.1016/B978-0-443-28824-1.50027-2
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Mathematical modelling, hybrid models, Gaussian processes
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10194425
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