Evaluation of the Influence of Process Variables on Flotation of Phosphate

Abstract

Froth flotation is an adsorptive-bubble separation method based on the selective attachment of particles on the surfaces of gas bubbles passing through a suspension. Reagents as collectors, frothers and pH modifiers are added to perform specific roles to facilitate and to improve the separation. In the present work the process of apatite flotation in column has been investigated experimentally. The influence of the reagents (collector and frother dosages and interactions), percentage of solids and pH value on the column flotation of coarse particles of apatitic ore was analyzed. Percentage of solids was the variable that more influenced on the apatite recovery and the P2O5 grade was more affected by varying pH. The best results were achieved by using lower pH values and lower pulp density. Frother addition only had significant effect for lower collector dosage.

Optimization of metakaolin-based Geopolymer Composite using Sisal Fibers, response Surface Methodology, and Canonical Analysis

“…The overall analyses of the experimental data was performed using the software Statistica12, and the experimental data were submitted to a multiple regression with the purpose of measuring the effects of the studied variables for later adjustment of the model. The significance level of 10% was adopted for the analysis of the regression parameters [24].…”

“…The CCD consists in a first order factorial design (2 k ) with additional points (center points and axial points). The central composite design (CCD) together with the response surface methodology (RSM) permit to find the optimum operating conditions with a reduced number of experiments [23] by estimating the main effects of each variable linear, quadratic and the interaction between the variables [24,25]. RSM enables to identify new operating conditions that produce desired improvements.…”

Sobre a Temática Do Reaproveitamento De Rejeitos E Estéril

“…Já com relação à metodologia de superfície de resposta (MSR), esta técnica tem como objetivo modelar dados experimentais otimizando resultados diretamente correlacionados às variáveis de resposta. A MSR, em comparação com outras técnicas, apresenta diversos benefícios, tais como geração de grande quantidade de informações a partir de um pequeno número de experimentos e a possibilidade de avaliar o efeito da interação entre as variáveis na resposta (Ferreira et al, 2020;Santana et al, 2010).…”

Os efeitos da incorporação de resíduos de pneus nas propriedades de compósitos a base de geopolímero

“…O software Statistica® foi utilizado para a análise global dos dados experimentais, adotando o nível de significância de 10% (p < 0,10) para a análise dos parâmetros de regressão (SANTANA et al, 2010). Entre o α para PCC ortogonal ou rotacional, foi utilizado para o α para PCC ortogonal, pois ele propicia a estimação independente para os coeficientes do modelo (MATEUS, BARBIN e CONAGIN, 2001).…”