RSM and ANN approaches for modeling and optimizing of electrospun polyurethane nanofibers morphology

Rabbi, Amir; Nasouri, Komeil; Bahrambeygi, Hossein; Shoushtari, Ahmad Mousavi; Babaei, Mohammad Reza

doi:10.1007/s12221-012-1007-x

Cited by 78 publications

(70 citation statements)

References 25 publications

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“…Thus, a large value of R 2 does not necessarily imply that the quadratic model is consistent. To take this into account, a is defined by equation (4), which is generally considered to be a more accurate measure than R 2 [19]. Response surfaces were drawn to determine the individual and interactive effects of the test variable on the average diameter and coefficient of variation of PVP nanofibers.…”

Section: Experimental Designmentioning

confidence: 99%

“…Because a proper electrospun nanofiber requires a delicate balance of forces for stable nanofiber formation regime, and due to the complex inter relationships among variables affecting the electrospinning process, the design of experiment (DoE) is a common method used for the optimization of variables affecting the nanofiber manufacturing process [14,15,19]. DoE is a collection of statistical and mathematical techniques useful for the statistical modeling and analysis of problems in which a response of interest affected by several variables, with the objective being to optimize this response [20].…”

Section: Introductionmentioning

confidence: 99%

“…Among the DoE methods, a Full-Factorial design (FFD) is often considered unusable due to its requirement of a large number of experiments. Response surface methodology (RSM) is an important branch of DoEs and a critical technology in developing new processes, optimizing their performance, and improving design and formulation of new products [19]. The main advantage of RSM with compared other DoE methods, is the reduced number of experimental runs needed to provide sufficient information for statistically suitable result.…”

Section: Introductionmentioning

confidence: 99%

“…However, for a quadratic response surface model with three or more variables, the CCD procedure is much more advantageous when compared to the BBD [21]. The CCD was first introduced by Box and Wilson in 1951, and is suited for fitting a quadratic model, which usually works well for the process optimization [19]. The CCD technique is an effective design that is ideal for sequential experimentation and allows a reasonable amount of information for testing lack of fit while not involving an unusually large number of design points.…”

Section: Introductionmentioning

confidence: 99%

“…Chen et al [23] applied RSM using CCD technique as an optimization tool to minimize the diameter of electrospun poly(methyl methacrylate) (PMMA) nanofibers. Rabbi et al [19] evaluated the quantitative relationship between electrospinning process variables and the average diameter of polyurethane (PU) nanofibers by RSM technique. Yazdanpanah et al [24] have also studied the role of polymer concentration, applied voltage, distance, flow rate, and interaction effects on the diameter of poly(vinyl alcohol) (PVA) nanofibers using CCD in RSM factorial design.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of effective electrospinning parameters controlling polyvinylpyrrolidone nanofibers surface morphology via response surface methodology

2015

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Electrospinning process is a very important technique for fabricating polymeric nanofibers by applying external electrostatic forces. This study reports on the modeling of the electrospinning process of polyvinylpyrrolidone (PVP), using response surface methodology (RSM) based on the central composite design (CCD). The individual and the interaction effects of the most effective variables such as PVP concentration (10, 14 and 18 wt%), applied voltage (13, 17 and 21 kV), nozzle-collector distance (10, 15 and 20 cm) and solvent type (N,N-dimethylformamide (DMF) and ethanol) on the average and coefficient of variation of the nanofiber diameter were investigated in the optimization section. The CCD analysis confirmed that solvent type and PVP concentration were the main significant variables affecting the average PVP nanofiber diameters. The predicted nanofiber diameters were in good agreement with the experimental results according to CCD technique. High regression coefficient between the variables and the mean diameter (R 2 =0.9468) indicates excellent evaluation of experimental data by quadratic polynomial regression model. The RSM model predicted the 166 nm value of the finest nanofiber diameter with high uniformity at conditions of 13 wt% PVP concentration, 15 kV of the applied voltage, and 20 cm of nozzle-collector distance with used DMF for solvent in electrospinning process. The predicted value (166 nm) showed only 3.47 %, difference with experimental results in which 172 nm at the same setting were observed. The obtained CCD results confirmed that the selected RSM model presented appropriate performance for evaluating the involved variables and prediction of PVP nanofibers surface morphology.

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Section: Experimental Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation of effective electrospinning parameters controlling polyvinylpyrrolidone nanofibers surface morphology via response surface methodology

2015

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Recent Progress in Protective Membranes Fabricated via Electrospinning: Advanced Materials, Biomimetic Structures, and Functional Applications

et al. 2022

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Manufacturing of PAN or PU Nanofiber Layers/PET Nonwoven Composite as Highly Effective Sound Absorbers

et al. 2014

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The main aim of this study was to investigate the usability of polyurethane (PU) and polyacrylonitrile (PAN) nanofibers for improving the sound absorption of conventional polyester nonwovens in wide band of frequencies along with weight and thickness reduction. The effect of nanofiber and nonwoven layers number, nanofiber layers surface density, and the type of nanofiber polymer on the sound absorption was studied. To find the optimum conditions for achieving high sound absorption, response surface methodology was used. The results showed that the sound absorption of composite samples is improved when the nanofiber layer number or its surface density increased. The results also showed that the sound absorption of composites is enhanced by using PAN instead of PU. At a constant surface density, the higher resonant peak, without shifting, was achieved with increasing the nanofiber layers number. Optimization process showed that samples containing PAN nanofiber layers with surface density of 4.72 g/m 2 and six nonwoven layers have highest average sound absorption coefficient. C 2014 Wiley Periodicals, Inc. Adv Polym Technol 2014, 33, 21425; View this article online at wileyonlinelibrary.com.

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RSM and ANN approaches for modeling and optimizing of electrospun polyurethane nanofibers morphology

Cited by 78 publications

References 25 publications

Evaluation of effective electrospinning parameters controlling polyvinylpyrrolidone nanofibers surface morphology via response surface methodology

Evaluation of effective electrospinning parameters controlling polyvinylpyrrolidone nanofibers surface morphology via response surface methodology

Recent Progress in Protective Membranes Fabricated via Electrospinning: Advanced Materials, Biomimetic Structures, and Functional Applications

Manufacturing of PAN or PU Nanofiber Layers/PET Nonwoven Composite as Highly Effective Sound Absorbers

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