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    Wyświetlanie 1-3 z 3
    Tytuł:
    The effect of water quality change on copper flotation
    Autorzy:
    Acuña, Claudio
    Aedo, Camila
    Leiva, Claudio
    Flores, Víctor
    Powiązania:
    https://bibliotekanauki.pl/articles/29552039.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    flotation
    copper
    molybdenum
    water quality
    wastewater
    Opis:
    Given the significant consumption and future demand for water resources, this paper intends to find the conditions for using a flotation process with different water quality. One of the alternatives is using water under secondary treatment with industrial water mixtures to partly recycle domestic wastewater and maximize metallurgical benefits. Results show that using wastewater (only with secondary treatment) in flotation is detrimental to copper recovery. However, molybdenum recovery is significantly improved. For mixtures with 50 [%] wastewater, 50 [ppm] frother, 20 [ppm] collector, and pH 10, copper recovery decrease amounts to 0.4 [%], while molybdenum shows a 2.4 [%] recovery increase. In addition, copper concentrate grade decreases by 1.4 [%], while molybdenum grade remains. Therefore, using wastewater is viable, particularly in the case of molybdenum. So, this study proposes using of water mixtures in the copper depression stage to improve molybdenum recovery.
    Źródło:
    Physicochemical Problems of Mineral Processing; 2023, 59, 5; art. no. 186190
    1643-1049
    2084-4735
    Pojawia się w:
    Physicochemical Problems of Mineral Processing
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Artificial neural network (ANN) modelling to estimate bubble size from macroscopic image and object features
    Autorzy:
    Vinnett, Luis
    León, Roberto
    Mesa, Diego
    Powiązania:
    https://bibliotekanauki.pl/articles/29552038.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    machine learning
    artificial neural network
    flotation
    bubble size
    Sauter diameter
    Opis:
    Bubble size measurements in aerated systems such as froth flotation cells are critical for controlling gas dispersion. Commonly, bubbles are measured by obtaining representative photographs, which are then analyzed using segmentation and identification software tools. Recent developments have focused on enhancing these segmentation tools. However, the main challenges around complex bubble cluster segmentation remain unresolved, while the tools to tackle these challenges have become increasingly complex and computationally expensive. In this work, we propose an alternative solution, circumventing the need for image segmentation and bubble identification. An Artificial Neural Network (ANN) was trained to estimate the Sauter mean bubble size (D32) based on macroscopic image features obtained with simple and inexpensive image analysis. The results showed excellent prediction accuracy, with a correlation coefficient, R, over 0.998 in the testing stage, and without bias in its error distribution. This machine learning tool paves the way for robust and fast estimation of bubble size under complex bubble images, without the need of image segmentation.
    Źródło:
    Physicochemical Problems of Mineral Processing; 2023, 59, 5; art. no. 185759
    1643-1049
    2084-4735
    Pojawia się w:
    Physicochemical Problems of Mineral Processing
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Flotation kinetic tracking of sand contaminated with hydrocarbons : image analysis of pulp color changes in time
    Autorzy:
    Acuña, Claudio
    Humire, José
    Leiva, Claudio
    Powiązania:
    https://bibliotekanauki.pl/articles/28838529.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    flotation
    organic
    image analysis
    Opis:
    Hydrocarbon contamination in the environment poses a significant challenge, and various control methods have been explored. Soil remediation by flotation has been proposed as an effective approach. This method involves the separation of hydrophobic compounds, such as soil hydrocarbons, by introducing air into a stirred reactor containing the soil pulp designated for remediation. Experiments were conducted using a 5 L Batch flotation cell to evaluate operating conditions. These experiments focused on obtaining flotation kinetics with different organic mixtures, including fine sands measuring under 150 μm. The experimental design encompassed airflow, hydrocarbon concentration, and surfactant dosage. The research utilized a diluted pulp (3% solids) with a high organic concentration (8 and 17 g/L). Flotation kinetics were measured by developing an innovative technique based on pulp color and image processing software. This technique facilitated the tracking of concentration changes over time under Beer-Lambert's Law. Subsequently, the results were adjusted using kinetic models commonly employed in mineral flotation, including the first-order, Kelsall, and Klimpel models. This comprehensive analysis sought to elucidate the underlying phenomenology and assess the potential for industrial-scale implementation. The laboratory findings indicate the possibility of achieving recoveries of up to 87%, with a first-order kinetic constant of 0.7 (1/min). Both the gas flow rate and the addition of surfactant exert substantial influence on this constant, consistent with the observed phenomenology of this study. This study explores the integration of image analysis in flotation for hydrocarbon-contaminated soil remediation. The research aims to optimize remediation strategies by examining variables such as Beer-Lambert's law and prevalent kinetic models. The study focuses on scalable, eco-friendly decontamination methods, emphasizing enhanced process control and comprehension within soil flotation systems.
    Źródło:
    Physicochemical Problems of Mineral Processing; 2023, 59, 5; art. no. 176307
    1643-1049
    2084-4735
    Pojawia się w:
    Physicochemical Problems of Mineral Processing
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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