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Conference Proceedings

Iron Ore 2019

Conference Proceedings

Iron Ore 2019

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The influence of moisture in the vibrating screen sizing and selection processes

Vibrating screens are widely used in comminution circuits in many different applications throughout the mining industry. They can be used to classify items from large pieces of rock (in scalping screens) to tiny particles that are fractions of millimetres in size. Besides classification, they are also used in many other applications, such as dewatering, desliming, washing, and trash screening. Although the screening process is simpleand easily understoodit may involve high complexity in certain conditions that occur quite often in mining applications. One of those conditions involves high-moisture contents. This commonly occurs in tropical regions around the world, where important mineral deposits are located. For low, natural moisture, the screen-size estimates done by traditional methods normally show proper correlation when compared to actual results from industrial screens. However, when the moisture content is high, calculations may show significant deviations. This fact indicates that traditional screen design methods are not able to cover moisture issues properly. Moreover, traditional methods with high moisture ores may result in serious performance problems that will affect the entire comminution plant. The objective of this presentation is to introduce a vibrating screen-sizing method developed by Metso for difficult dry screening jobs. This method is based on laboratory testing work with a reduced quantity of samples, resulting in more accurate and reliable screen-size estimation for high moisture ores. The conclusions demonstrate the technical feasibility of the method and its application limits. CITATION:Nunes Filho, E, Ogawa, R, Pereira, E, Ohashi, T and Junior, H D, 2019. The influence of moisture in the vibrating screen sizing and selection processes, in Proceedings Iron Ore 2019, pp 754765 (The Australasian Institute of Mining and Metallurgy: Melbourne).
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  • Published: 2018
  • PDF Size: 0.756 Mb.
  • Unique ID: p201903075

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