Remoção do cobre de efluente galvânico aplicando tensoativos derivado de óleos vegetais
Copper is one of the most used metals in platingprocesses of galvanic industries. The presence of copper, a heavy metal, in galvanic effluents is harmful to the environment.The main objective of this researchwas the removal ofcopperfromgalvanic effluents, using for this purpose anionic surfactant...
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| Formato: | Dissertação |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/15832 |
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| Resumo: | Copper is one of the most used metals in platingprocesses of galvanic industries. The
presence of copper, a heavy metal, in galvanic effluents is harmful to the environment.The
main objective of this researchwas the removal ofcopperfromgalvanic effluents, using for
this purpose anionic surfactants. The removal process is based on the interaction between the
polar head group of the anionic surfactant and the divalent copper in solution. The surfactants
used in this study were derived from soybean oil (OSS), coconut oil (OCS), and sunflower
oil (OGS). It was used a copper synthetic solution (280 ppm Cu+2) simulating the rinse water
from a copper acid bath of a galvanic industry. It were developed 23and 32 factorial designs
to evaluate the parameters that have influence in theremoval process. For each surfactant
(OSS, OCS, and OGS), the independent variables evaluated were: surfactant concentration
(1.25 to 3.75 g/L), pH (5 to 9) and the presence of an anionic polymer (0 to 0.0125 g/L).From
the results obtained in the 23 factorial design and in the calculus for estimatingthe
stoichiometric relationship between surfactants and copper in solution, it were developed
new experimental tests, varying surfactant concentration in the range of 1.25 to 6.8 g/L (32
factorial design).The results obtained in the experimental designs were subjected to statistical
evaluations to obtain Pareto charts and mathematical modelsfor Copper removal efficiency
(%). The statistical evaluation of the 23 and 32factorial designs, using saponifiedcoconut oil
(OCS), presented the mathematical model that best described the copper removal process.It
can be concluded that OCS was the most efficient anionic surfactant, removing 100% of the
copper present in the synthetic galvanic solution |
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