Intelligently optimized electrospun polyacrylonitrile/poly(vinylidene fluoride) nanofiber: Using artificial neural networks

Acid-etching is one of the most popular processes for the surface treatment of dental implants. In this paper, acid-etching of commercially pure titanium (cpTi) in a 48% H2SO4 solution is investigated. The etching process time (0–8 h) and solution temperature (25–90 °C) are assumed to be the most effective operational conditions to affect the surface roughness parameters such as arithmetical mean deviation of the assessed profile on the surface (Ra) and average of maximum peak to valley height of the surface over considered length profile (Rz), as well as weight loss (WL) of the dental implants in etching process. For the first time, three multilayer perceptron artificial neural network (MLP-ANN) with two hidden layers was optimized to predict Ra, Rz, and WL. MLP is a feedforward class of ANN and ANN model that involves computations and mathematics which simulate the human–brain processes. The ANN models can properly predict Ra, Rz, and WL variations during etching as a function of process temperature and time. Moreover, WL can be increased to achieve a high Ra. At WL = 0, Ra of 0.5 μm is obtained, whereas Ra increases to 2 μm at WL = 0.78 μg/cm2. Also, ANN model was fed into a nonlinear sorting genetic algorithm (NSGA-II) to establish the optimization process and the ability of this method has been proven to predict the optimized etching conditions.

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“…The function defined through Eq. ( 2 ) was applied in output, and hidden layers were used as activation transfer function 40 , 48 : …”

Section: Methodsmentioning

confidence: 99%

Intelligent modeling and optimization of titanium surface etching for dental implant application

Tilebon¹,

Emamian²,

Ramezanpour³

et al. 2022

Sci Rep

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“…studied the influence of control parameters on mean fiber diameter, diameter distribution, and porosity of the PVDF membrane by RSM and ANN. [ 58,83 ] Results presented that the fiber diameter and standard deviation of fiber diameter decrease with the increase of PVDF composition and increase with the increasing solution concentration. The porosity decreases with the increase of the solution concentration.…”

Section: Classification Of Fibrous Membrane By Materialsmentioning

confidence: 99%

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

et al. 2022

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“…The density of the raw polymer was determined based on the Arrhenius principle, in methanol (Vegyszer Kereskedelmi Kft., Hungary) at 23 C according to EN ISO 1183-1 by using a Sartorius Quintix 125D-1CEU (Sartorius, Germany) semi-micro scale. Porosity (P) and solidity (S) of the nonwovens were determined by using Equations (4)(5)(6).…”

Section: Density Porosity and Pore Size Measurementmentioning

confidence: 99%

Revealing of process–structure–property relationships of fine polypropylene fiber mats generated via melt blowing

Kara

Molnár

2021

Polymers for Advanced Techs

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In this study, we presented systematic and comparative investigations on the structure of polypropylene fibers generated using different processing conditions via melt blowing. Increasing air pressure, die-to-collector distance, and air temperature reduced the average fiber diameter nearly 3-fold, 2-fold, and 1.75-fold, respectively.An average of 1.4 μm Feret-diameter was observed as the smallest pore size, while the fiber mat solidities ranged from 8 to 13%. Differential scanning calorimetry results showed single melting peaks in the 1st heating cycle and double melting peaks in the second one, due to the phase transition at melt blowing. The fiber crystallinities varied between 43 and 52% by changing the processing conditions. The X-ray diffraction study revealed that the MB fibers exhibited α and mesomorphic crystals depending on the processing parameters. The reference polypropylene sheet made of the same fiber grade polypropylene resin, on the other hand, exhibited a mix of α and γ crystalline forms. The polypropylene fiber mat tensile strength improved by 48% and by 13% with increasing air pressure and air temperature, respectively.Decreasing fiber collection distances resulted in 2.5-fold higher tensile strength while strain at break reduced eightfold. A new factor, mat consolidation coefficient, was introduced and used to efficiently summarize melt-blown fiber mats' process-property-structure relationships. This study details how to control the melt blowing parameters to tailor the polypropylene fiber mat features for the respective application field. It also presents an insight into fiber formation mechanisms during melt blowing for generating self-bonded, defect-free, fine fiber mats.

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Intelligently optimized electrospun polyacrylonitrile/poly(vinylidene fluoride) nanofiber: Using artificial neural networks

Cited by 11 publications

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Intelligent modeling and optimization of titanium surface etching for dental implant application

Intelligent modeling and optimization of titanium surface etching for dental implant application

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

Revealing of process–structure–property relationships of fine polypropylene fiber mats generated via melt blowing

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