Experimental analysis and evaluation of the mass transfer process in a trickle-bed reactor

Silva, Jornandes Dias da; Lima, Fernando Roberto de Andrade; Abreu, César Augusto Moraes de; Knoechelmann, Augusto

doi:10.1590/s0104-66322003000400005

Cited by 14 publications

(7 citation statements)

References 31 publications

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“…Each of those models is based on many assumptions and is forced to use simplifications in order to solve the complex equation systems. Normally, mathematical models of TBRs may involve the mechanisms of forced convection, axial dispersion, interphase heat and mass transfers, intraparticle diffusion, adsorption, and chemical reaction (Silva et al, 2003;Burghardt et al, 1995;Iliuta et al, 2002;Latifi et al, 1997).…”

Section: Conclusõesmentioning

confidence: 99%

Diagnóstico Do Grau De Desenvolvimento E Dos Fatores De Impacto Na Implementação Da Indústria 4.0 No Setor Industrial Catarinense

Fries¹,

Filho²,

Ferentz³

et al. 2021

Tópicos Em Ciências Exatas E Da Terra

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Complex space missions involving large angle maneuvers and rapid attitude control, require new non-linear control techniques to design the Satellite Control System (SCS) in order to have reliability and adequate performance. In that context, one investigates a new SCS technique based on the State Dependent Riccati Equation (SDRE) methodology which can be considered as an adaptive form of the Linear Quadratic Regulator (LQR) but which allows to deal with the non linearities of the system. A nonlinear mathematical model of a flexible rotatory beam is built through the Lagrangian formulation where the flexible displacement is modelled using the assumed modes theory and a structural damping is added applying the Rayleigh technique. The SDRE controller objectives are to control the hub angular position and simultaneously to damp the flexible displacements. A computational procedure is developed which allows drawing a performance map of the system showing all SDRE reachable performances. Using this control algorithm one can obtain the Pareto's border representing the set of optimal performances. On the other hand, analyzing the influence of the weight matrixes terms, it is shown that it is possible to get the Pareto's border performances using only a few terms of the SDRE weight matrixes. On the basis of this analysis, a control law enabling to get weight matrixes' values as a function of a required performance is developed. Last of all, state dependent weight matrixes are used to show that they can improve the system performance. Based on the results, it turned out that the SDRE's performance is better than the LQR's one, not only because it can deal with non linearities, but also because its design is more flexible and permits to control the rigid-flexible satellite in the same time interval and spending less energy.

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Section: Conclusõesmentioning

confidence: 99%

Diagnóstico Do Grau De Desenvolvimento E Dos Fatores De Impacto Na Implementação Da Indústria 4.0 No Setor Industrial Catarinense

Fries¹,

Filho²,

Ferentz³

et al. 2021

Tópicos Em Ciências Exatas E Da Terra

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“…The computational fluid dynamics codes are employed on catalyst bed in the Trickle bed reactors to improve the chemical process intensification. These computational fluid dynamics codes use the functions by including (Forced convection, Phases dispersion, Interactive Diffusion, Adsorptions and Reaction kinetics) which are occurred in the Trickle bed reactor [8][9].…”

Section: Short Communicationmentioning

confidence: 99%

Development of Numerical Eulerian-Eulerian Model for Computational Analysis of Potential in Chemical Process Intensification from Trickle Bed Reactors

Suri

Siddique

Soomro

2020

Pak J Anal Environ Chem

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The computational fluid dynamics techniques keep a paramount role by evaluating a reactor performance. The transitory performance of a Trickle bed reactor is readily monitored from its three phase’s flow conditions. This research review study corresponds towards the formation of boundaries in this Trickle bed reactors system to designate its comprehensive methodology with an optimized solution. The main paramount significance of computational fluid dynamics techniques is to observe the validity and an effective significance of the experimental result. The catalyst bed is modelled with the help of dynamic and steady state models by introducing mass and energy conservation equations. The Eulerian-Eulerian multiphase modelling technique is designed for hydro-desulfurization (HDS) and hydro-dearomatization (HDA) chemical process change from interactive momentum models. The effect in bed porosity on the HDS reaction process is observed from interactive mass transfer with solid bed condition in Trickle bed reactor. The congregated results from computational fluid dynamics codes show that wetting efficiency increases with increase in both hydrogen sulphide concentration and HDS conversion. The conversion of HDS reaction decreases with increase in hydrogen disulphide (H2S) concentration at both partially wetted and wetted bed conditions. On the other hand, there is small decrease in HDS conversion from 72% to 63.75% at H2S volumetric concentration of 0 to 8%. These observations also indicate that computational fluid dynamics provides random accessibility of liquid flow in Trickle bed reactor. There results also reveal that there is periodic variation in saturated liquid phase. The regions which are close to its wall are less irrigated. These characteristics can be changed and have effect on the reactor performance. Hence, the present review study presents the unprecedented results with high accuracy.

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“…For validation of the developed model a considerable number of trials were chosen to compare simulation results with plant data (NIST, 2011;Gaspar et al, 2010;Perry et al, 1999;Tobiensen et al, 2008, Silva et al, 2003 and the two most representative cases are presented in Table 1, which emphasizes the small differences between the plant data and simulated values. The accuracy of the distributed parameter nonlinear mathematical model of the process is highlighted by the evolutions of 2-ethyl-hexenal, 2-ethyl-hexanol concentrations and the temperature evolution along the reactor height, presented in Figure 2 …”

Section: Mathematical Models Distributed Parameter Nonlinear Mathematmentioning

confidence: 99%

Advanced Control of a Complex Chemical Process

Both

Dulf

Cormoş

2016

Braz. J. Chem. Eng.

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-Three phase catalytic hydrogenation reactors are important reactors with complex behavior due to the interaction among gas, solid and liquid phases with the kinetic, mass and heat transfer mechanisms. A nonlinear distributed parameter model was developed based on mass and energy conservation principles. It consists of balance equations for the gas and liquid phases, so that a system of partial differential equations is generated. Because detailed nonlinear mathematical models are not suitable for use in controller design, a simple linear mathematical model of the process, which describes its most important properties, was determined. Both developed mathematical models were validated using plant data. The control strategies proposed in this paper are a multivariable Smith Predictor PID controller and multivariable Smith Predictor structure in which the primary controllers are derived based on Internal Model Control. Set-point tracking and disturbance rejection tests are presented for both methods based on scenarios implemented in Matlab/SIMULINK.

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Experimental analysis and evaluation of the mass transfer process in a trickle-bed reactor

Cited by 14 publications

References 31 publications

Diagnóstico Do Grau De Desenvolvimento E Dos Fatores De Impacto Na Implementação Da Indústria 4.0 No Setor Industrial Catarinense

Diagnóstico Do Grau De Desenvolvimento E Dos Fatores De Impacto Na Implementação Da Indústria 4.0 No Setor Industrial Catarinense

Development of Numerical Eulerian-Eulerian Model for Computational Analysis of Potential in Chemical Process Intensification from Trickle Bed Reactors

Advanced Control of a Complex Chemical Process

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