Remoção do cobre de efluente galvânico aplicando tensoativos derivado de óleos vegetais

• Ano de defesa: 2012
• Autor(a) principal: Silva, Alfredo José Ferreira da
• Orientador(a): Barros Neto, Eduardo Lins de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso embargado
• Idioma: por
• Instituição de defesa: Universidade Federal do Rio Grande do Norte
• Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Química
• Departamento: Pesquisa e Desenvolvimento de Tecnologias Regionais
• País: BR
• Palavras-chave em Português: Cobre. Metal pesado. Efluente galvânico. Tensoativo aniônico. Remoção
• Palavras-chave em Inglês: Copper. Heavy metal. Galvanic effluents. Anionic surfactant. Removal
• Área do conhecimento CNPq: CNPQ::ENGENHARIAS::ENGENHARIA QUIMICA
• Link de acesso: https://repositorio.ufrn.br/jspui/handle/123456789/15832

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