Towards predicting the piezoelectricity and physiochemical properties of the electrospun P(VDF-TrFE) nanogenrators using an artificial neural network
作者： Mohammad Mahdi Abolhasani , Kamyar Shirvanimoghaddam , Hamid Khayyam , Seyed Masoud Moosavi , Nima Zohdi
DOI: 10.1016/J.POLYMERTESTING.2018.01.010
关键词:
摘要: Abstract Electrospun P(VDF-TrFE) nanogenrators with a wide range of piezoelectricity performance and physiochemical properties is fabricated through modification the processing parameters such as polymer concentration, applied voltage, feed rate electrospinning time/fibres mat thickness. In order to estimate predict relationships process fibres morphology, an Artificial Neural Networks (ANN) model developed. Results developed ANN found be in good agreement experimental results less than 5% error shows potential untested conditions.
sci-hub.se 参考文章(60)
Minoo Naebe, Tong Lin, Lianfang Feng, Liming Dai, Alexis Abramson, Vikas Prakash, Xungia Wang, Conducting polymer and polymer/CNT composite nanofibers by electrospinning Nanoscience and nanotechnology for chemical and biological defense. ,vol. 1016, pp. 39- 58 ,(2009) , 10.1021/BK-2009-1016.CH004
Hamid Khayyam, Minoo Naebe, Omid Zabihi, Reza Zamani, Stephen Atkiss, Bronwyn Fox, Dynamic Prediction Models and Optimization of Polyacrylonitrile (PAN) Stabilization Processes for Production of Carbon Fiber IEEE Transactions on Industrial Informatics. ,vol. 11, pp. 887- 896 ,(2015) , 10.1109/TII.2015.2434329
G. David Garson, Interpreting neural-network connection weights AI Expert archive. ,vol. 6, pp. 46- 51 ,(1991) , 10.5555/129449.129452
Mohammad Mahdi Abolhasani, Sara Azimi, Hossein Fashandi, Enhanced ferroelectric properties of electrospun poly(vinylidene fluoride) nanofibers by adjusting processing parameters RSC Advances. ,vol. 5, pp. 61277- 61283 ,(2015) , 10.1039/C5RA11441A
Zhenyu Li, Ce Wang, Zhenyu Li, Ce Wang, Effects of Working Parameters on Electrospinning Springer, Berlin, Heidelberg. pp. 15- 28 ,(2013) , 10.1007/978-3-642-36427-3_2
S.Y. Gu, J. Ren, G.J. Vancso, Process optimization and empirical modeling for electrospun polyacrylonitrile (PAN) nanofiber precursor of carbon nanofibers European Polymer Journal. ,vol. 41, pp. 2559- 2568 ,(2005) , 10.1016/J.EURPOLYMJ.2005.05.008
Zhao Yue, Zhao Songzheng, Liu Tianshi, Bayesian regularization BP Neural Network model for predicting oil-gas drilling cost biomedical engineering and informatics. ,vol. 2, pp. 483- 487 ,(2011) , 10.1109/ICBMEI.2011.5917952
Minoo Naebe, Tong Lin, Wendy Tian, Liming Dai, Xungai Wang, Effects of MWNT nanofillers on structures and properties of PVA electrospun nanofibres Nanotechnology. ,vol. 18, pp. 225605- ,(2007) , 10.1088/0957-4484/18/22/225605
Z.H. Liu, C.T. Pan, L.W. Lin, H.W. Lai, Piezoelectric properties of PVDF/MWCNT nanofiber using near-field electrospinning Sensors and Actuators A-physical. ,vol. 193, pp. 13- 24 ,(2013) , 10.1016/J.SNA.2013.01.007
Suresh L. Shenoy, W. Douglas Bates, Harry L. Frisch, Gary E. Wnek, Role of chain entanglements on fiber formation during electrospinning of polymer solutions: Good solvent, non-specific polymer-polymer interaction limit Polymer. ,vol. 46, pp. 3372- 3384 ,(2005) , 10.1016/J.POLYMER.2005.03.011