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A new constitutive model for prediction of impact rates response of polypropylene

A new constitutive model for prediction of impact rates response of polypropylene

Okereke, Michael, Le, Chi and Buckley, C.P (2012) A new constitutive model for prediction of impact rates response of polypropylene. EPJ Web of Conferences, 26:04031. ISSN 2100-014X (doi:10.1051/epjconf/20122604031)

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Abstract

This paper proposes a new constitutive model for predicting the impact rates response of polypropylene. Impact rates, as used here, refer to strain rates greater than 1000 1/s. The model is a physically based, three-dimensional constitutive model which incorporates the contributions of the amorphous, crystalline, pseudo-amorphous and entanglement networks to the constitutive response of polypropylene. The model mathematics is based on the well-known Glass-Rubber model originally developed for glassy polymers but the arguments have herein been extended to semi-crystalline polymers. In order to predict the impact rates behaviour of polypropylene, the model exploits the well-known framework of multiple processes yielding of polymers. This work argues that two dominant viscoelastic relaxation processes – the alpha- and beta-processes – can be associated with the yield responses of polypropylene observed at low-rate-dominant and impact-rates dominant loading regimes. Compression test data on polypropylene have been used to validate the model. The study has found that the model predicts quite well the experimentally observed nonlinear rate-dependent impact response of polypropylene.

Item Type: Article
Additional Information: © Owned by the authors, published by EDP Sciences, 2012. DYMAT 2012 - 10th International Conference on the Mechanical and Physical Behaviour of Materials under Dynamic Loading, Germany, September 2nd-7th, 2012.
Uncontrolled Keywords: Polypropylene, Impact rates response
Pre-2014 Departments: School of Engineering
Related URLs:
Last Modified: 14 Oct 2016 11:43
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/11738

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