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Your search keyword '"Rico A"' showing total 5 results
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5 results on '"Rico A"'

1. Electrodialysis reversal applied to tertiary treatment of Kraft pulp mill effluent

Author

Tatiane Benvenuti, Luan Amaral de Souza, Daniella Cardoso Buzzi, Franco Dani Rico Amado, and Marco Antônio Siqueira Rodrigues

Subjects
Electrodialysis reversal, General Chemical Engineering, 02 engineering and technology, General Chemistry, Electrodialysis, 021001 nanoscience & nanotechnology, Pulp and paper industry, 020401 chemical engineering, Kraft process, Environmental science, Mill, Sewage treatment, 0204 chemical engineering, 0210 nano-technology, Effluent
Abstract

The electrodialysis reversal (EDR) technology was applied as tertiary treatment for final effluent from a Kraft pulp mill industry located in Bahia, Brazil. Two samples were evaluated: first, the f...

Published
2020

3. Electrodialysis reversal applied to tertiary treatment of Kraft pulp mill effluent.

Author

Souza, Luan Amaral de, Benvenuti, Tatiane, Buzzi, Daniella Cardoso, Rodrigues, Marco Antônio Siqueira, and Amado, Franco Dani Rico

Subjects
SULFATE pulping process, PULP mills, ELECTRODIALYSIS, ELECTRICAL conductivity measurement, WATER purification, SEWAGE purification
Abstract

The electrodialysis reversal (EDR) technology was applied as tertiary treatment for final effluent from a Kraft pulp mill industry located in Bahia, Brazil. Two samples were evaluated: first, the final effluent treated by conventional processes (FE); the second one was additionally filtered by sand and activated carbon (FEAC). The tests in a pilot plant were carried out in batch mode, with electrode's polarity reversion. Temperature, pH and electrical conductivity measurements were performed during EDR treatment. Solutions before and after the EDR treatment were submitted to physicochemical characterization in order to determine the system efficiency. Chloride and sulfide concentrations have been reduced by up to 98.6 and 100% respectively. Only for FE treatment it was observed fouling and scaling occurrence, due to high organic and inorganic ions concentrations. In addition, the evaluated ions were satisfactorily removed by EDR for both effluents, giving to them the suitable quality for disposal or reuse in industrial processes. The study presents a mitigating solution to environmental and technological problems, itself as a viable alternative in the tertiary treatment of effluents from the Kraft process in the pulp industry. [ABSTRACT FROM AUTHOR]

Published
2021
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4. DISCRETE- vs. CONTINUOUS-TIME NONLINEAR SIGNAL PROCESSING OF Cu ELECTRODISSOLUTION DATA

Author

Ramiro Rico-Martínez, Ioannis G. Kevrekidis, John L. Hudson, K. Krischer, and M.C. Kube

Subjects
Nonlinear system, Signal processing, Discrete time and continuous time, Artificial neural network, Computer science, General Chemical Engineering, General Chemistry, Bifurcation diagram, Algorithm, Bifurcation, Term (time), Poincaré map
Abstract

Artificial neural networks (ANNs) are often used for short term discrete time predictions of experimental data. In this paper we focus on the capability of such nets to correctly identify long term behavior and, in particular, observed bifurcations. As we show, the usual discrete time mapping approach is (precisely because of its discrete nature) often incapable of reproducing observed bifurcation sequences. If the interest is only in periodic or temporally more complicated behavior, a Poincare map extracted from the experimental time series can be used to circumvent this problem. A complete dynamic picture including bifurcations of steady states can, however, only be captured by a continuous-time model. We present an ANN configuration which couples a “nonlinear principal component” network for data processing (Kramer, 1991, Usui et al., 1990) with a composite ANN based on a simple integrator scheme. This ANN is able to correctly reconstruct the bifurcation diagram of our experimental data. All t...

Published
1992

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