Controlled grafting of vinylic monomers on polyolefins: a robust mathematical modeling approach

Saeb, Mohammad Reza; Rezaee, Babak; Shadman, Alireza; Formela, Krzysztof; Ahmadi, Zahed; Hemmati, Farkhondeh; Kermaniyan, Tayebeh Sadat; Mohammadi, Yousef

doi:10.1080/15685551.2016.1239166

Cited by 21 publications

(13 citation statements)

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“…Therefore, a lower molecular weight and higher density of grafting onto PP chain would be expected [28]. Results presented in Fig.…”

Section: Effect Of Dcp Contentmentioning

confidence: 95%

“…A careful look at Fig. 4a elucidates that the rate of increase of degree of grafting is slightly decreasing with GMA addition, which suggests partial homopolymerization of GMA monomers via free-radical mechanism [28]. It should be added that grafting of GMA molecules onto polymer chain significantly decreases the mobility of free GMA molecules in the reaction chamber, especially in the bulk.…”

Section: Effect Of St Concentrationmentioning

confidence: 98%

“…In other words, epoxy functional groups in the GMA chemical structure cerate bond with other functional groups such as hydroxyls, amines, and anhydrides, and assist in free-radical grafting reaction with their unsaturated groups [22,25]. From this perspective, thermoplastics polymers have widely been modified with GMA via melt free-radical grafting [28][29][30]. Awkwardly, however, the conversion of GMA grafting reaction on PP backbone was not sufficient even with excessive amount of peroxide in the system [31].…”

Section: Introductionmentioning

confidence: 96%

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An investigation on the role of GMA grafting degree on the efficiency of PET/PP-g-GMA reactive blending: morphology and mechanical properties

et al. 2017

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Glycidyl methacrylate (GMA) has been grafted on polypropylene (PP) with the aid of styrene (St) comonomer, by changing dicumyl peroxide initiator content, GMA level, and St concentration. The performance of the resulting PP-g-GMA reactive material towards static and dynamic mechanical properties of poly (ethylene terephthalate) (PET) was monitored in terms of grafting reaction variables and compatibilizer content. Fourier transform infrared spectroscopy, scanning electron microscopy, mechanical properties, melt flow rate, and impact strength analyses were applied to correlate structural changes due to grafting (or undesired chain scission) with blends' properties. The competition between the desired reaction, i.e., GMA grafting onto PP chain, and undesired chain scission of PP macroradicals due to thermal degradation, was discussed based on torque-time curves and mechanical properties.responsible for a special behavior over properties, means that optimal or ascending/ descending trends, which noticed high sensitivity of PET toughening to GMA grafting efficiency.

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“…Therefore, a lower molecular weight and higher density of grafting onto PP chain would be expected [28]. Results presented in Fig.…”

Section: Effect Of Dcp Contentmentioning

confidence: 95%

Section: Effect Of St Concentrationmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 96%

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An investigation on the role of GMA grafting degree on the efficiency of PET/PP-g-GMA reactive blending: morphology and mechanical properties

et al. 2017

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“…The number of neurons in the input and output layers is determined by the dimensionality of the problem . The methodology used in this work has been applied in our recent works in different problems, where multiobjective optimization had to be carried out . Overall, no rigid rule has so far been proposed for finding the number of neurons in the hidden layers.…”

Section: Methodsmentioning

confidence: 99%

Modeling and closed‐loop control of particle size and initial burst of PLGA biodegradable nanoparticles for targeted drug delivery

Baghaei

Saeb

Jafari

et al. 2017

J of Applied Polymer Sci

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An in-house computer code based on artificial intelligence has been developed and applied in modeling and closed-loop optimization of release behavior of Poly(lactic-co-glycolic acid) (PLGA) biodegradable particles. A series of micro-and nanoparticles were prepared via water-in-oil-in-water double emulsion to be loaded with albumin-fluorescein isothiocyanate conjugate as a typical drug. The interrelationship between input variables (molecular weight of polymer and stabilizer, polymer concentration, and sonication rate) and outputs (PLGA particle size and percentage of initial burst) was uncovered with the aid of artificial neural network modeling. The regression analysis confirmed acceptable correlation coefficients for the aforementioned responses, where the PLGA molecular weight played the most important role among the studied variables. Input variables needed to minimize PLGA size and PLGA initial burst were then obtained via multiobjective optimization performed by a genetic algorithm. PLGA nanoparticles were checked for particle size and particle size distribution using scanning electron micrographs.

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“…A reduced PS upon growing of agitation speed could expected, in view of higher breakage rate being considered at raised speed of rotation. On the other word, the final size of particles is depended on the balance between breakage and coalescence [30,31].…”

Section: Modeling Of Toner Production With Annmentioning

confidence: 99%

Intelligent modeling and optimization of emulsion aggregation method for producing green printing ink

Ataeefard

Tilebon

Saeb

2019

Green Processing and Synthesis

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In this study, Artificial intelligence method was used as a new approach in modelling and optimization of printing toners with appropriate requirements. Toner fine powder is made up of resin, colorant and additives. This composite has been utilized in electrophotographic digital printing. The optimization approach has been considered for optimizing of toner production process and to produce printing toners with an appropriate physical and color properties (particle size (PS), particle size distribution (PSD), L*, a*, b*) by an environmental friendly method which is emulsion aggregation (EA). The EA is a green technology that provides many advantages for toner production pathway and lead to high quality product and printing. The effect of heating rate (R), time of mixing (T), and mixing rate (S) on PS, PSD, and L*, a*, b* has been studied. An in-home code was established to optimize the architecture of artificial neural network (ANN) with two hidden layers, by which an accurate model was developed for the prediction of toner properties. The best process conditions with acceptable characteristics of manufacturing toners was obtained by multi-objective optimization in specified amounts of heating rate, mixing time, and mixing rate

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Controlled grafting of vinylic monomers on polyolefins: a robust mathematical modeling approach

Cited by 21 publications

References 50 publications

An investigation on the role of GMA grafting degree on the efficiency of PET/PP-g-GMA reactive blending: morphology and mechanical properties

An investigation on the role of GMA grafting degree on the efficiency of PET/PP-g-GMA reactive blending: morphology and mechanical properties

Modeling and closed‐loop control of particle size and initial burst of PLGA biodegradable nanoparticles for targeted drug delivery

Intelligent modeling and optimization of emulsion aggregation method for producing green printing ink

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