825 resultados para Task-Based Instruction (TBI)
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"February, 1969"
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Description based on: 83-1; title from cover.
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Description based on: report for the University year ending June 19, 1873.
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"Prepared in part under contract 68-01-3255, task 3."
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Description based on: 2006 (Jan. 2008) ; title from cover.
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Description based on: 2005; title from cover.
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Description based on: Fiscal year 1998.
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Annual report for 1857 issued with the Report for 1855/56.
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Description based on: 1891 and 1892; title from title page.
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Based on, and companion to the Author's Legal aspects of PHS medical care teaching frames prepared under direction of Carlton B. Downing.
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Year on cover of report for 1898/1900 misprinted as 1901.
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Description based on: 8th (the scholastic years ending Aug. 31, 1891 and Aug. 31, 1892).
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Thesis (Ph.D.)--University of Washington, 2016-06
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Thesis (Ph.D.)--University of Washington, 2016-06
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Modelling and optimization of the power draw of large SAG/AG mills is important due to the large power draw which modern mills require (5-10 MW). The cost of grinding is the single biggest cost within the entire process of mineral extraction. Traditionally, modelling of the mill power draw has been done using empirical models. Although these models are reliable, they cannot model mills and operating conditions which are not within the model database boundaries. Also, due to its static nature, the impact of the changing conditions within the mill on the power draw cannot be determined using such models. Despite advances in computing power, discrete element method (DEM) modelling of large mills with many thousands of particles could be a time consuming task. The speed of computation is determined principally by two parameters: number of particles involved and material properties. The computational time step is determined by the size of the smallest particle present in the model and material properties (stiffness). In the case of small particles, the computational time step will be short, whilst in the case of large particles; the computation time step will be larger. Hence, from the point of view of time required for modelling (which usually corresponds to time required for 3-4 mill revolutions), it will be advantageous that the smallest particles in the model are not unnecessarily too small. The objective of this work is to compare the net power draw of the mill whose charge is characterised by different size distributions, while preserving the constant mass of the charge and mill speed. (C) 2004 Elsevier Ltd. All rights reserved.