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Title of Journal: Fibers Polym

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Abbravation: Fibers and Polymers

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The Korean Fiber Society

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DOI

10.1007/s12398-009-0033-x

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ISSN

1875-0052

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Evaluation of effective electrospinning parameters

Authors: Majid Naghibzadeh Mahdi Adabi
Publish Date: 2014/05/31
Volume: 15, Issue: 4, Pages: 767-777
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Abstract

The aim of this work was to evaluate the effective parameters for prediction of the electrospun gelatin nanofibers diameter using artificial neural network ANN technique The various sets of electrospinning process including temperature applied voltage and polymer and solvent concentrations were designed to produce pure gelatin nanofibers The obtained results by analyzing Scanning Electron Microscopy SEM images indicated that the produced nanofibers diameter was in the range of 85 to 750 nm Due to the volume of the data k fold crossvalidation method was used for data setting Data were divided into the five categories and trained and tested using ANN technique The results indicated that the network including 4 input variables 3 hidden layers with 10 18 and 9 nodes in each layers respectively and one output layer had the best performance in the testing sets The mean squared error MSE and linear regression R between observed and predicted nanofibers diameter were 01531 and 09424 respectively The obtained results demonstrated that the selected neural network model had acceptable performance for evaluating involved parameters and prediction of nanofibers diameter

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