Application of ANN and RSM techniques for modeling electrospinning process of polycaprolactone

Khatti, Tahere; Naderi-Manesh, Hossein; Kalantar, Seyed Mehdi

doi:10.1007/s00521-017-2996-6

Cited by 55 publications

(29 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…20 The successful application of a BP neural network and MLP in electrospinning studies has been proved in previously published research with a higher accuracy in comparison with the multiple regression models. 31,54,55 The reliable results of ANN modeling in electrospinning nanobers studies have been illustrated in previous studies in which Khanlou et al aimed to employ an MLP network with a BP algorithm to assess the application of the ANN to predict and optimize the electrospinning parameters for polymethyl methacrylate nanobers. Using an ANN with a three layer BP neural network, there is a perfect correlation between the targets and outputs.…”

Section: Prediction Performance Of Svmmentioning

confidence: 95%

Application of ANN modeling techniques in the prediction of the diameter of PCL/gelatin nanofibers in environmental and medical studies

Kalantary

Jahani²,

Pourbabaki

et al. 2019

RSC Adv.

View full text Add to dashboard Cite

Prediction of the diameter of a nanofiber is very difficult, owing to complexity of the interactions of the parameters which have an impact on the diameter and the fact that there is no comprehensive method to predict the diameter of a nanofiber. Therefore, the aim of this study was to compare the multi-layer perceptron (MLP), radial basis function (RBF), and support vector machine (SVM) models to develop mathematical models for the diameter prediction of poly(3-caprolactone) (PCL)/gelatin (Gt) nanofibers.Four parameters, namely, the weight ratio, applied voltage, injection rate, and distance, were considered as input data. Then, a prediction of the diameter for the nanofiber model (PDNFM) was developed using data mining techniques such as MLP, RBFNN, and SVM. The PDNFM MLP is introduced as the most accurate model to predict the diameter of PCL/Gt nanofibers on the basis of costs and time-saving.According to the results of the sensitivity analysis, the value of the PCL/Gt weight ratio is the most significant input which influences PDNFM MLP in PCL/Gt electrospinning. Therefore, the PDNFM model, using a decision support system (DSS) tool can easily predict the diameter of PCL/Gt nanofibers prior to electrospinning.

show abstract

Section: Prediction Performance Of Svmmentioning

confidence: 95%

Application of ANN modeling techniques in the prediction of the diameter of PCL/gelatin nanofibers in environmental and medical studies

Kalantary

Jahani²,

Pourbabaki

et al. 2019

RSC Adv.

View full text Add to dashboard Cite

show abstract

“…Also, statistical parameters to evaluate the model are calculated using mean absolute relative difference equation (7), in which MARD is mean absolute relative difference and RMSD is root-mean-square deviation. 48 …”

Section: Resultsmentioning

confidence: 99%

Modeling and optimization of electrospinning conditions of PVB nanofiber by RSM and PSO-LSSVM models for improved interlaminar fracture toughness of laminated composites

Ipakchi

Rezadoust

Esfandeh

et al. 2019

Journal of Composite Materials

View full text Add to dashboard Cite

In this study, the diameter of polyvinyl butyral nanofibers was modeled using response surface method based on three variables, at three levels of central composite design and particle swarm optimization-least squares support vector machine. Under optimal conditions, the measured mean diameter of the nanofibers was 175 nm. Sensitivity analysis in both models showed that polyvinyl butyral concentration in the solution was found to be the most effective parameter on the nanofiber diameter. The voltage is placed in the next. Fracture toughness under Mode I condition shows that the use of electrospun nanowebs as an interlayer in the structure of multi-layers composite has a positive effect on the GIc which values for the oriented and random nanofibers modified samples increased by 60% and 55%, respectively. According to SEM images, the main mechanism of fracture toughness in these samples was crack deflection and nanofibers crack bridging.

show abstract

“…Synthetic polymers are easily accessible and are available in enormous forms. Polymers like polystyrene [76][77][78][79], polyvinyl butyl [80,81], polyvinylpyrrolidone [82], polysulfone [83], polycaprolactone [84,85], poly (lactic acid) [86][87][88], polyvinyl alcohol (PVA) [48,[89][90][91][92], polytetrafluoroethylene (PTFE) [93], polyethylene terephthalate (PET) [94], methylmethacrylate (PMMA) and polyethyl-(PEMA) [95] and others binders have been used previously binders in the fabrication of HAP scaffolds.…”

Section: Synthetic Polymersmentioning

confidence: 99%

Recent advances in natural polymer-based hydroxyapatite scaffolds: Properties and applications

Lett

Sagadevan

Fatimah

et al. 2021

European Polymer Journal

100

View full text Add to dashboard Cite

show abstract

Application of ANN and RSM techniques for modeling electrospinning process of polycaprolactone

Cited by 55 publications

References 42 publications

Application of ANN modeling techniques in the prediction of the diameter of PCL/gelatin nanofibers in environmental and medical studies

Application of ANN modeling techniques in the prediction of the diameter of PCL/gelatin nanofibers in environmental and medical studies

Modeling and optimization of electrospinning conditions of PVB nanofiber by RSM and PSO-LSSVM models for improved interlaminar fracture toughness of laminated composites

Recent advances in natural polymer-based hydroxyapatite scaffolds: Properties and applications

Contact Info

Product

Resources

About