Estimation of properties of ternary mixtures of solids using the mixing rule

Silva, M.A.; Miranda, MR

doi:10.1016/s0032-5910(03)00131-1

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…Source: Silva and Souza (2004) Applying data from Table 2 to Equation (1), it was possible to calculate εi = 0.54 m 3 /m 3 , a value close to εi = 0.5, found by Ostroski et al (2008), presented in Table 1. Due to the convergence of εi values, the characterization data in Table 2 Research, Society and Development, v. 10, n. 12, e310101220362, 2021 (CC BY 4.0) | ISSN 2525-3409 | DOI: http://dx.doi.org/10.33448/rsd-v10i12.20362 4 were also considered to calculate the particle porosity (εp), referring to the total pore volume of a material (Vpore), using Equation (2), based on Silva and Miranda (2003).…”

Section: Sources Of Experimental Datamentioning

confidence: 99%

Modelling and simulation of the ion exchange process for Zn2+(aq) removal using zeolite NaY

Gallindo

Silva

Rodrigues

et al. 2021

RSD

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The treatment of water contaminated by toxic metals using ion exchange with zeolites is becoming attractive due to its low capital costs and high potential for removal capacity. Mathematical modelling of this process allows for operational control and estimation of the ability to remove these metals. In this work, the kinetic modelling was performed based on finite bath experimental data, with Intraparticle Diffusion (IPD) and External Liquid Film Mass Transfer (MTEF) models. The models Thomas (TH), Yoon-Nelson (YN) and Solid Film Mass Transfer (MTSF) were used to estimate the saturation time, ion exchange capacity and sizing variables of a fixed bed column. For the finite bath system, the results showed that the mass transfer was better represented by the IPD phenomenon. The breakthrough curve obtained by the Aspen Adsorption (MTSF) model presented the best fit, compared with experimental data, with R2≥0.9923. The average ion exchange capacities calculated for MTSF, TH and YN were respectively 2.22, 2.12 and 2.07 meq Zn2+(aq)/ g of zeolite. The model simulated with Aspen Adsorption was also used to analyze the continuous system behaviour, by varying the height of the bed. It was observed that increasing the height, the saturation time and ion exchange capacity also increase, while reducing the height makes axial dispersion the predominant mass transfer phenomenon, which reduces the diffusion of Zn2+(aq) ions.

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Section: Sources Of Experimental Datamentioning

confidence: 99%

Modelling and simulation of the ion exchange process for Zn2+(aq) removal using zeolite NaY

Gallindo

Silva

Rodrigues

et al. 2021

RSD

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“…An alternative is the application of a mixing rule based on the volume portions of the different constituents [18], [19]: (10) with: P mix state variable of the composite, f i volume fraction of the constituent and P i state variable of the constituent .…”

Section: Cement Stonementioning

confidence: 99%

“…The applicability of the volumetric mixing rule to the approximation of other physical properties of heterogeneous materials is discussed in [18]. Based on this, it is assumed that the proposed method can also be applied to the bulk sound speed (c B ) and the slope (S) of the wave velocity -particle velocity relation (U s -u p relation) of concrete-like materials.…”

Section: Cement Stonementioning

confidence: 99%

A New Methodology for the Assessment of the EoS Data of Concrete

Gebbeken¹,

Hartmann²

2010

International Journal of Protective Structures

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The experimental determination of the equation of state is a complex and expensive task. This paper presents a new methodology for the theoretical determination of the equation of state for concrete. Mesomechnical simulations are conducted and compared to three sets of experimental data. It was also investigated whether the methodology used for the meso-scale modeling is applicable to a homogenized description of concrete. Based on more than 400 numerical simulations, it is shown that the EoS parameters which are determined on a purely theoretical basis agree well with both the experimental and the numerical results on a meso-level. Hence, the provided theoretical methodology enables modelers to assess the EoS parameters of concrete for most applications in a simple spreadsheet analysis.

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