Mathematical modeling for kinetics of Fe3+ exchange on pretreated analcime

Cobzaru, Claudia; Marinoiu, Adriana; Apostolescu, Gabriela; Tataru-Farmus, Ramona; Cernătescu, Corina; Icit, Uzinei St. Isotopic Technologies

doi:10.33224/rrch/2019.64.5.03

Cited by 4 publications

(9 citation statements)

References 11 publications

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“…Although Na, Ca, and Fe cations could vary majorly as the acid concentration rises, Mg and K cations could move away partially only since they had a stronger bond with the analcime. The SiO 2 /Al 2 O 3 ratio increased from 4.62 to 6.15 as a result of acid treatment [ 14 , 17 , 19 , 40 ].…”

Section: Resultsmentioning

confidence: 99%

“…Park et al [ 14 ] found that the specific surface area and micropore volume of analcime treated with 1 N HCl solution increased from 16 to 119 m 2 /g and from 0.02 to 0.09 cm 3 /g, respectively. Cobzaru et al [ 17 ] showed that the specific surface area and micropore volume of analcime zeolite were 14.649 m 2 /g and 0.001 cm 3 /g respectively, and they increased to 89.473 m 2 /g and 0.029 cm 3 /g for 1 N HNO 3 acid-treated analcime.…”

Section: Introductionmentioning

confidence: 99%

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Influence of acid activation on hydrogen adsorption properties of analcime-rich tuff from Turkey

AKBELEN¹,

ÖZBAY²

2022

Turkish Journal of Chemistry

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In this study, structural, thermal, and hydrogen (H 2 ) adsorption properties of natural analcime-rich zeolite tuff (A) from Trakya (Turkey) and that of acid-treated forms investigated. Analcime mineral was treated with 0.1, 0.5, 1, 2, and 3 M HCl solutions at 80 °C for 5 h. Differences in structural and thermal behaviors of the analcime samples before and after acid-treatment were examined by X-ray fluorescence spectroscopy (XRF), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy with detector x-ray energy dispersive (SEM-EDX), thermal analysis (TG-DTG-DTA) and nitrogen adsorption methods. Micropore volume, micropore area, and specific surface area values of the acid-treated analcimes were very high compared to the natural analcime sample. It was found that the acid-treated analcime zeolites with a high SiO 2 /Al 2 O 3 ratio exhibited higher H 2 adsorption capacity and thermal stability. H 2 adsorption capacities of natural and acid-treated analcimes at 77 K up to 100 kPa were found between 0.255 and 0.632 mmol/g. The hydrogen adsorption capacities of analcime samples increases in the order A < 05HA < 01HA < 1HA < 2HA < 3HA. Additionally, it was determined that the hydrogen adsorption capacity of analcime samples had an almost linear connection to the BET surface areas.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of acid activation on hydrogen adsorption properties of analcime-rich tuff from Turkey

AKBELEN¹,

ÖZBAY²

2022

Turkish Journal of Chemistry

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“…In order to create a mathematical equation corresponding to different experimental research, many works have been conducted and are presented in the specialized literature [27][28][29][30]32,[36][37][38][39]. However, a rather difficult problem arises when it is desired to identify a mathematical equation that corresponds to several studies: -Studies that were carried out at different times or in different locations but at the same time; -Studies conducted by different authors but which have the same research field.…”

Section: Introductionmentioning

confidence: 99%

Extraction of Mathematical Correlations Applied in the Aerodynamic Separation of Solid Particles

et al. 2022

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This article describes the methodology used to identify the mathematical equation that describes the correlations between the input and output parameters of an experiment. As a technological process, aerodynamic separation was chosen to represent the behavior of a solid particle within an ascending vertical airflow. The experimental data were used to identify two parameters, namely the average linear velocity and the angular velocity. The Table Curve 3D program was used to develop a mathematical equation describing the dependence between the input parameters (the shape and size of the solid particle, as well as the velocity of the airflow) and the monitored parameters. A pyramid-type analysis (following a filtering system, a general equation was determined from a large number of equations that characterize an experimental set mathematically) was designed in order to determine a single mathematical equation that describes the correlation between the input variables and those obtained as accurately as possible. The determination of the mathematical equation started with the number of equations generated by the Table Curve 3D program; then, the equations with a correlation coefficient greater than 0.85 were chosen; and finally, the common equations were identified. Respecting the working methodology, one equation was identified, which has for the average linear velocity, a correlation coefficient r2 of between 0.88-0.99 and 0.86–0.99 for the angular velocity.

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“…In order to create a mathematical model corresponding for study, many works have been made and are presented in the specialized literature [28,29,31,32,34,38,[41][42][43][44], but a rather difficult problem arises when it is desired to identify a mathematical model that corresponds to several studies: -Studies that have been performed at different time intervals or in different locations but at the same time; -Studies conducted by different authors, but which have the same research field.…”

Section: Introductionmentioning

confidence: 99%

Identify the Mathematical Models Generated by the Table Curve 3 D Program

Moșneguțu¹,

Panainte-Lehăduș²,

Nedeff³

et al. 2022

Preprint

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This article describes the methodology used to identify the mathematical model that describes the correlations between the input parameters of an experiment and the parameters being followed. As a technological process, the aerodynamic separation was chosen, respectively, the behavior of a solid particle within an ascending vertical airflow. The experimental data obtained were used to identify two parameters, the average linear velocity, and the angular velocity, and through the Table Curve 3D program was developed a mathematical model which describes the dependence between the input parameters (the shape and size of the solid particle and the velocity of the airflow) and the monitored parameters. In order to determine a single mathematical equation that describes as accurately as possible the correlation between the input variables and those obtained, a pyramid-type analysis was designed. The determination of the mathematical equation started from the number of equations generated by the Table Curve 3D program, then the equations with a correlation coefficient greater than 0.85 were chosen, and finally, the common equations were identified. Respecting the working methodology was identified one equation which has for the average linear velocity a correlation coefficient r2 between 0.88-0.99 and 0.86-0.99 for the angular velocity.

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Mathematical modeling for kinetics of Fe3+ exchange on pretreated analcime

Cited by 4 publications

References 11 publications

Influence of acid activation on hydrogen adsorption properties of analcime-rich tuff from Turkey

Influence of acid activation on hydrogen adsorption properties of analcime-rich tuff from Turkey

Extraction of Mathematical Correlations Applied in the Aerodynamic Separation of Solid Particles

Identify the Mathematical Models Generated by the Table Curve 3 D Program

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