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Modelling the effect of moisture on the depth sensing indentation response of a stereolithography polymer.pdf (1.77 MB)

Modelling the effect of moisture on the depth sensing indentation response of a stereolithography polymer

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journal contribution
posted on 2011-08-03, 15:09 authored by Kazim Altaf, Ian A. Ashcroft, Richard J.M. Hague
Stereolithography (SL) resins are highly hygroscopic and their mechanical properties are significantly affected by the level of moisture in the environment. In addition, the load response of these materials is highly time dependent, hence, an appropriate rate dependent constitutive model is required to characterise their mechanical behaviour. In this work, the time dependent mechanical behaviour of an SL resin is investigated under varying humidity conditions using depth sensing indentation (DSI) tests. In the experimental study, a DSI system fitted with a humidity control unit was used to explore the influence of moisture on the mechanical properties of a SL resin. Samples were tested with 33.5%, 53.8%, 75.3%, 84.5% relative humidity (RH) inside the chamber while the temperature was kept constant at 22.5 C. It was seen that hardness and modulus decreased with increasing absorbed moisture in the resin. Material parameters obtained through bulk tests were used to develop a coupled stress-diffusion finite element model incorporating rate dependent material behaviour. It is proposed that this model can be used in predicting the effect of the environment on the performance of SL manufactured components.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

ALTAF, K., ASHCROFT, I.A. and HAGUE, R., 2012. Modelling the effect of moisture on the depth sensing indentation response of a stereolithography polymer. Computational Materials Science, 52 (1), pp. 112-117.

Publisher

© Elsevier

Version

  • AM (Accepted Manuscript)

Publication date

2012

Notes

This article was published in the journal, Computational Materials Science [© Elsevier]. The definitive version is available from: http://www.sciencedirect.com/science/article/pii/S0927025611000759

ISSN

0927-0256

Language

  • en