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

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 e...

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Veröffentlicht in:	Polymer testing 2018-04, Vol.66, p.178-188
Hauptverfasser:	Abolhasani, Mohammad Mahdi, Shirvanimoghaddam, Kamyar, Khayyam, Hamid, Moosavi, Seyed Masoud, Zohdi, Nima, Naebe, Minoo
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural network Artificial neural networks Electric properties Electrospinning Feed rate Generators Mathematical models Morphology Nanofibre Nanogenerator Neural networks Parameter modification Physiochemistry Piezoelectricity Polymers Process parameters Properties (attributes)
Online-Zugang:	Volltext
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