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Rooki, Reza,Ardejani, Faramarz Doulati,Moradzadeh, Ali,Mirzaei, Hossein,Kelessidis, Vassilios,Maglione, Roberto,Norouzi, Mahmood 한국유변학회 2012 Korea-Australia rheology journal Vol.24 No.3
The rheological properties of a drilling fluid directly affect flow characteristics and hydraulic performance. Drilling fluids containing bentonite mixtures exhibit non-Newtonian rheological behavior which can be described with a high degree of accuracy by the three-parameter Herschel-Bulkley (HB) model. To determine the HB parameters, standard statistical techniques, such as the non-linear regression (NL) method are routinely used. However, sometimes they provide non physically acceptable solutions which could produce wrong values of the significant hydraulic parameters which affect drilling operations. To obtain more accurate results, the Golden Section (GS) method was subsequently developed by Kelessidis et al. (2006). In this work a different technique was developed using the Genetic Algorithms (GAs) to provide an easy-to-use tool in order to determine the three parameters of the Herschel-Bulkley model more accurately. To evaluate the accuracy of the GAs method, experimental viscometric data sets of drilling fluids were taken from the literature and the results were compared with the ones obtained by using the NL and GS techniques. The results show that the GAs and the GS methods provide similar results with very high correlation coefficients and small sum of square errors for most of the samples exhibiting negative yield stress values by the NL technique, while giving similar to the NL technique for the samples that were predicted with positive yield stress. However, in some cases, the GAs method gives better and more realistic results than the GS method.
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Reza Rooki,Faramarz Doulati Ardejani,Ali Moradzadeh,Hossein Mirzaei,Vassilios Kelessidis,Roberto Maglione,Mahmood Norouzi 한국유변학회 2012 Korea-Australia rheology journal Vol.24 No.3
The rheological properties of a drilling fluid directly affect flow characteristics and hydraulic performance. Drilling fluids containing bentonite mixtures exhibit non-Newtonian rheological behavior which can be described with a high degree of accuracy by the three-parameter Herschel-Bulkley (HB) model. To deter\-mine the HB parameters, standard statistical techniques, such as the non-linear regression (NL) method are routinely used. However, sometimes they provide non physically acceptable solutions which could produce wrong values of the significant hydraulic parameters which affect drilling operations. To obtain more accu\-rate results, the Golden Section (GS) method was subsequently developed by Kelessidis et al. (2006). In this work a different technique was developed using the Genetic Algorithms (GAs) to provide an easy-to-use tool in order to determine the three parameters of the Herschel-Bulkley model more accurately. To eval\-uate the accuracy of the GAs method, experimental viscometric data sets of drilling fluids were taken from the literature and the results were compared with the ones obtained by using the NL and GS techniques. The results show that the GAs and the GS methods provide similar results with very high correlation coef\-ficients and small sum of square errors for most of the samples exhibiting negative yield stress values by the NL technique, while giving similar to the NL technique for the samples that were predicted with positive yield stress. However, in some cases, the GAs method gives better and more realistic results than the GS method.
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Shabnam Hasani,Faramarz Doulati Ardejani,Mohammad Ebrahim Olya 한국화학공학회 2017 Korean Journal of Chemical Engineering Vol.34 No.8
Adsorption of BR 18 dye onto nano-clay adsorbent was investigated. Nano-clay was characterized by using FTIR, SEM, TEM, XRD and BET analysis. The percent removal increased by increasing nano-clay dose, while pH and stirring speed had no significant effect on the adsorption rate. It was observed that the uptake of dye onto nano-clay initially increased rapidly, and then decreased slowly until the equilibrium was reached. The adsorption capacity rose with an increase in temperature. Moreover, the adsorption kinetics was very fast and followed a pseudo second-order. The intra-particle diffusion was observed to be the rate-controlling step. In addition, equilibrium data fitted well with the Langmuir adsorption model. This paper also presents a numerical simulation incorporating the second-order kinetic expression using COMSOL Multiphysics software. The numerical modelling results and the experimental data were in excellent agreement.
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Cadmium removal from aqueous solutions by pumice and nano-pumice
Sara Haddadi Khorzughy,Teymur Eslamkish,Faramarz Doulati Ardejani,Mohammad Reza Heydartaemeh 한국화학공학회 2015 Korean Journal of Chemical Engineering Vol.32 No.1
Use of low-cost minerals to eliminate mining and industrial pollutants is the main goal of this study. Weinvestigated the ability of pumice and nano-pumice to remove cadmium from a synthetic aqueous solution. Batchexperiments were performed to investigate adsorption characteristic; therefore, the effective factors influencing theadsorption process including solution pH, contact time and initial concentration have been considered. Equilibriumdata were attempted by Langmuir and Freundlich isotherm models to realize the interaction between adsorbent andadsorbate. The results show that cadmium adsorption on Pumice follows the Langmuir isotherm model with a R2of0.9996 and shows a homogeneous and mono-layer adsorption. Whereas, cadmium adsorption on nano-Pumice fol-lows a Freundlich model (R2=0.9939) and exhibits a multi-layer adsorption. The maximum mono-layer capacity (qmax)of cadmium for pumice and nano-pumice was calculated 26 and 200mg/g, respectively. Two different kinetics modelsincluding pseudo first-order and pseudo second-order were studied to evaluate the rate and mechanism of cadmiumadsorption by pumice and nano-pumice. The kinetics data indicate that a pseudo second-order model provides thebest correlation of the experimental data.
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