Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24648
Title: Surface characterisation of PLLA polymer in HAp/PLLA biocomposite material by means of nanoindentation and artificial neural networks
Authors: Aleksendric, D
Balac, I
Tang, CY 
Tsui, CP 
Uskokovic, PS
Uskokovic, DP
Keywords: Artificial neural networks
Biocomposites
Finite element model
Nanoindentation
Issue Date: 2010
Publisher: Maney Publishing
Source: Advances in applied ceramics, 2010, v. 109, no. 2, p. 65-70 How to cite?
Journal: Advances in Applied Ceramics 
Abstract: In this paper, the mechanical properties of polymer matrix phase (modulus of elasticity, yield stress and work hardening rate) have been determined using combined methods such as nanoindentation, finite element modelling and artificial neural networks. The approach of neural modelling has been employed for the functional approximation of the nanoindentation load-displacement curves. The data obtained from finite element analyses have been used for the artificial neural networks training and validating. The neural model of polymer matrix phase of poly-l-lactide (PLLA) polymer in hydroxyapatite (HAp)/PLLA mechanical behaviour has been developed and tested versus unknown data related to the load-displacement curves that were not used during the neural network training. Based on this neural model, the nanoindentation matrix phase properties of PLLA polymer in HAp/PLLA composite have been predicted.
URI: http://hdl.handle.net/10397/24648
ISSN: 1743-6753
DOI: 10.1179/174367509X12502621261613
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