DAIS - Digital Archive of the Serbian Academy of Sciences and Arts
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrillic)
    • Serbian (Latin)
  • Login
View Item 
  •   DAIS
  • Институт техничких наука САНУ / Institute of Technical Sciences of SASA
  • ИТН САНУ - Општа колекција / ITS SASA - General collection
  • View Item
  •   DAIS
  • Институт техничких наука САНУ / Institute of Technical Sciences of SASA
  • ИТН САНУ - Општа колекција / ITS SASA - General collection
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Surface characterisation of PLLA polymer in HAp/PLLA biocomposite material by means of nanoindentation and artificial neural networks

Authorized Users Only
2010
Authors
Aleksendrić, D.
Balać, Igor
Tang, C. Y.
Tsui, C. P.
Uskoković, Petar S.
Uskoković, Dragan
Article (Published version)
Metadata
Show full item record
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. © 2010 Institute of Materials, Minerals and Mining.
Keywords:
artificial neural networks / biocomposites / finite element model / nanoindentation
Source:
Advances in Applied Ceramics, 2010, 109, 2, 65-70
Publisher:
  • Maney Publishing
Funding / projects:
  • Sinteza funkcionalnih materijala sa kontrolisanom strukturom na molekularnom i nano nivou (RS-142006)
  • EUREKA - 3524

DOI: 10.1179/174367509X12502621261613

ISSN: 1743-6753

WoS: 000275344200001

Scopus: 2-s2.0-77749325154
[ Google Scholar ]
6
5
Handle
https://hdl.handle.net/21.15107/rcub_dais_3432
URI
https://dais.sanu.ac.rs/123456789/3432
Collections
  • ИТН САНУ - Општа колекција / ITS SASA - General collection
Institution/Community
Институт техничких наука САНУ / Institute of Technical Sciences of SASA
TY  - JOUR
AU  - Aleksendrić, D.
AU  - Balać, Igor
AU  - Tang, C. Y.
AU  - Tsui, C. P.
AU  - Uskoković, Petar S.
AU  - Uskoković, Dragan
PY  - 2010
UR  - https://dais.sanu.ac.rs/123456789/3432
AB  - 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. © 2010 Institute of Materials, Minerals and Mining.
PB  - Maney Publishing
T2  - Advances in Applied Ceramics
T1  - Surface characterisation of PLLA polymer in HAp/PLLA biocomposite material by means of nanoindentation and artificial neural networks
SP  - 65
EP  - 70
VL  - 109
IS  - 2
DO  - 10.1179/174367509X12502621261613
UR  - https://hdl.handle.net/21.15107/rcub_dais_3432
ER  - 
@article{
author = "Aleksendrić, D. and Balać, Igor and Tang, C. Y. and Tsui, C. P. and Uskoković, Petar S. and Uskoković, Dragan",
year = "2010",
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. © 2010 Institute of Materials, Minerals and Mining.",
publisher = "Maney Publishing",
journal = "Advances in Applied Ceramics",
title = "Surface characterisation of PLLA polymer in HAp/PLLA biocomposite material by means of nanoindentation and artificial neural networks",
pages = "65-70",
volume = "109",
number = "2",
doi = "10.1179/174367509X12502621261613",
url = "https://hdl.handle.net/21.15107/rcub_dais_3432"
}
Aleksendrić, D., Balać, I., Tang, C. Y., Tsui, C. P., Uskoković, P. S.,& Uskoković, D.. (2010). Surface characterisation of PLLA polymer in HAp/PLLA biocomposite material by means of nanoindentation and artificial neural networks. in Advances in Applied Ceramics
Maney Publishing., 109(2), 65-70.
https://doi.org/10.1179/174367509X12502621261613
https://hdl.handle.net/21.15107/rcub_dais_3432
Aleksendrić D, Balać I, Tang CY, Tsui CP, Uskoković PS, Uskoković D. Surface characterisation of PLLA polymer in HAp/PLLA biocomposite material by means of nanoindentation and artificial neural networks. in Advances in Applied Ceramics. 2010;109(2):65-70.
doi:10.1179/174367509X12502621261613
https://hdl.handle.net/21.15107/rcub_dais_3432 .
Aleksendrić, D., Balać, Igor, Tang, C. Y., Tsui, C. P., Uskoković, Petar S., Uskoković, Dragan, "Surface characterisation of PLLA polymer in HAp/PLLA biocomposite material by means of nanoindentation and artificial neural networks" in Advances in Applied Ceramics, 109, no. 2 (2010):65-70,
https://doi.org/10.1179/174367509X12502621261613 .,
https://hdl.handle.net/21.15107/rcub_dais_3432 .

DSpace software copyright © 2002-2015  DuraSpace
About DAIS - Digital Archive of the Serbian Academy of Sciences and Arts | Send Feedback

re3dataOpenAIRERCUB
 

 

All of DSpaceInstitutions/communitiesAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About DAIS - Digital Archive of the Serbian Academy of Sciences and Arts | Send Feedback

re3dataOpenAIRERCUB