Bibliographic citations
Zamalloa, Y., Garrido, A. (2023). Procesamiento de recuperación de relaves por gravimetría y control de calidad mediante modelamiento por diseño experimental de la comunidad de Sullca Sicuani - 2022. [Universidad Andina del Cusco]. https://hdl.handle.net/20.500.12557/6324
Zamalloa, Y., Garrido, A. Procesamiento de recuperación de relaves por gravimetría y control de calidad mediante modelamiento por diseño experimental de la comunidad de Sullca Sicuani - 2022. []. PE: Universidad Andina del Cusco; 2023. https://hdl.handle.net/20.500.12557/6324
@misc{renati/25462,
title = "Procesamiento de recuperación de relaves por gravimetría y control de calidad mediante modelamiento por diseño experimental de la comunidad de Sullca Sicuani - 2022.",
author = "Garrido Tipacti, Angel Enrique",
publisher = "Universidad Andina del Cusco",
year = "2023"
}
Within the mining industry, regarding the processing of tailings to recover valuable elements, optimization by experimental design and quality control of these; There is information about it, especially if it is about mineral processing issues with clean technology such as gravimetric concentrators like the FALCON and KNELSON brands. The objective of our study topic is to process the tailings by gravimetry and carry out adequate quality control, using mathematical modeling by experimental design for the gravimetric processing of tailings recovery from SULLCA and to statistically predict the results that are desired to be obtained; This entire study will begin by sampling the SULLCA tailings field, applying systematic point sampling, executing pits and obtaining the representative sample, after which chemical tests will be carried out to obtain values of the gold contained in the tailings (head grade). 0.69 gr/ton), for processing, we will use a FALCON type gravimetric concentrator, which considers the variables of working pressure in PSI (from 20 to 40 PSI), percentage of solids (from 50% to 85%) and granulometry of the tailings. (particle size from 100µ to 200µ), tests are carried out to recover the valuable mineral (gold), the interaction of the variables is based on mathematical modeling by type 23 factorial design with a replica at the central point, which gives us will reveal the most important variable, which in this study is the working pressure, giving the optimal option to work with pressures greater than 30 PSI, the other two variables not being relevant because they do not have interaction in the study process. With this model, the recovery process can be optimized, working properly and having optimal quality control, since the result is a response to the dependent variable with values above 50% recovery, working with the working pressure obtained by mathematical modeling. This result can be optimized, for example, by modeling to obtain a recovery of 60%, applying our mathematical model, it gives us the optimal working pressure, working with 60 PSI, which will help obtain an adequate recovery and control the quality of our final concentrate. Process the tailings by gravimetry and carry out adequate quality control, using mathematical modeling by experimental design for the gravimetric processing of SULLCA tailings recovery and statistically predict the results desired.
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