Separation of toluene/n-heptane mixtures experimental, modeling and optimization

Farshad, Farzin; Iravaninia, Mona; Kasiri, Norollah; Mohammadi, Toraj; Ivakpour, Javad

doi:10.1016/j.cej.2011.07.018

Cited by 32 publications

(15 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, it is a common practice to normalize input and output variables, known as preprocessing, particularly when the ranges of the variables are very wide and different to cope well within the active range of the selected activation functions (Farshad et al, 2011). Therefore all of the input and output variables were normalized to a scale of À1 to 1 according to the following equation for arbitrarily variable x:…”

Section: Architecture Of the Annmentioning

confidence: 99%

Modeling of CO2 loading in aqueous solutions of piperazine: Application of an enhanced artificial neural network algorithm

Norouzbahari

Shahhosseini

Ghaemi

2015

Journal of Natural Gas Science and Engineering

View full text Add to dashboard Cite

Section: Architecture Of the Annmentioning

confidence: 99%

Modeling of CO2 loading in aqueous solutions of piperazine: Application of an enhanced artificial neural network algorithm

Norouzbahari

Shahhosseini

Ghaemi

2015

Journal of Natural Gas Science and Engineering

View full text Add to dashboard Cite

“…In this point of view, the incompetence of the utilized model to account for a* and b* can be rationalized. Actually, progress in aggregation, even after assumed period of process, will be controlled by the collision frequency between particles [21,30,32].…”

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

View full text Add to dashboard Cite

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

show abstract

“…One of the most relevant research field associated to ILs is liquid-liquid extraction, specifically the extraction of aromatics as a result of the aromatic character of imidazolium-based and pyridinium-based ILs [3][4][5][6][7][8][9][10][11][12]. The low number of pure ILs with both high aromatic selectivity and capacity has caused the use of IL mixtures to improve individual results [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Thermal stability and specific heats of {[bpy][BF4] + [bpy][Tf2N]} and {[bpy][BF4] + [4bmpy][Tf2N]} mixed ionic liquid solvents

Navarro

Larriba

Beigbeder

et al. 2014

J Therm Anal Calorim

View full text Add to dashboard Cite

In the last years, mixing ionic liquids (ILs) is a common trend looking for IL-based solvents with high extractive properties in the liquid-liquid extraction of aromatics from alkanes. The aim of mixing ILs is to find intermediate extractive properties between ILs which showed good selectivity and those with high aromatic capacity of extraction. In addition to this, there are several thermophysical properties that are of interest to evaluate an IL-based solvent. Therefore, many studies have been carried out focusing on the knowledge of density, viscosity, or surface tension behavior of IL mixture, proposing several mixing rules that could correctly predict these magnitudes from pure IL data in most of the mixtures studied. However, only a few measurements of thermal stabilities and specific heats for IL binary mixtures have been recently realized. The present study was aimed to evaluate the thermal stability of {[bpy][BF 4 ] ? [bpy][Tf 2 N]} and {[bpy][BF 4 ] ? [4bmpy][Tf 2 N]} IL mixtures by thermogravimetric analysis. Also specific heats of the IL mixtures were determined using differential scanning calorimetry.

show abstract

Separation of toluene/n-heptane mixtures experimental, modeling and optimization

Cited by 32 publications

References 47 publications

Modeling of CO2 loading in aqueous solutions of piperazine: Application of an enhanced artificial neural network algorithm

Modeling of CO2 loading in aqueous solutions of piperazine: Application of an enhanced artificial neural network algorithm

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

Thermal stability and specific heats of {[bpy][BF4] + [bpy][Tf2N]} and {[bpy][BF4] + [4bmpy][Tf2N]} mixed ionic liquid solvents

Contact Info

Product

Resources

About