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Towards predicting the piezoelectricity and physiochemical properties of the electrospun P(VDF-TrFE) nanogenrators using an artificial neural network

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journal contribution
posted on 2018-04-01, 00:00 authored by M M Abolhasani, K Shirvanimoghaddam, H Khayyam, S M Moosavi, Nima Zohdi, Minoo NaebeMinoo Naebe
Electrospun P(VDF-TrFE) nanogenrators with a wide range of piezoelectricity performance and physiochemical properties is fabricated through modification of the processing parameters such as polymer concentration, applied voltage, feed rate and electrospinning time/fibres mat thickness. In order to estimate and predict the relationships of the process parameters with the piezoelectricity performance and fibres morphology, an Artificial Neural Networks (ANN) model is developed. Results of the developed ANN model is found to be in a good agreement with experimental results with less than 5% error and shows the good potential to model physiochemical properties of the nanogenrators to predict untested conditions.

History

Journal

Polymer Testing

Volume

66

Pagination

178 - 188

Publisher

Elsevier

Location

London, Eng.

ISSN

0142-9418

eISSN

1873-2348

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2018, Elsevier