شماره ركورد كنفرانس :
5041
عنوان مقاله :
Investigating The Non-Interfering Electro-Spinning Parameters On The Fiber Diameters Of Chitosan/PVA Using Nueral Network and Adaptive Neuro-Fuzzy Inference System
Author/Authors :
B. Ghanbari Birgani Department of Polymer Engineering - Islamic Azad University Tehran South Branch, Tehran, Iran , M. R. Kalaee Department of Polymer Engineering - Islamic Azad University Tehran South Branch, Tehran, Iran , S. Mazinani Amirkabir Nanotechnology Research Institute (ANTIR) - Amirkabir University of Technology, Tehran, Iran
كليدواژه :
Electro-spinning , chitosan , ANN modeling , neural network
عنوان كنفرانس :
The 10th International Chemical Engineering Congress & Exhibition (IChEC 2018)
چكيده فارسي :
فاقد چكيده فارسي
چكيده لاتين :
Through the years past the development of novel methods to prepare electro-spun composites and producing fibers consisting of chitosan/PVA and also the composite including their particles, the comparison of modeling systems have not been vastly investigated. When the chitosan is increased in compositions, the decrease in fiber diameter was evident. In this study, the neural network model is utilized to predict the fiber diameters by the distance, feeding rate, composition and applied variables. Besides, adaptive neuro-fuzzy inference system (ANFIS) was used to predict the fiber diameters and the data obtained by the designed model was in good agreement with experimental data. This generated model can help environmental engineers prepare the spun nano fibers to obtain desired properties
