A considerable amount of mill scale is generated from steelmaking plants annually. Although some industries use it as raw material however, since it contains iron in the form of FeO, Fe2O3, and Fe3O4, it can be considered as a valuable metallurgical raw material for iron and steelmaking industry as well. Thus, the aim of this study was to evaluate the possibility, efficiency, and consequences o...

The number of lifters of mill shell liners, mill rotation speed, and filling percentage of grinding media are three of the most important parameters influencing the charge behavior and the trajectory of ball motion inside the SAG mills, and consequently, their performance. In this paper, the milling operation of pilot-scale SAG mills using the discrete element method (DEM) is investigated. Firs...

Market Mill is a complex dependence pattern leading to nonlinear correlations and predictability in intraday dynamics of stock prices. The present paper puts together previous efforts to build a dynamical model reflecting the market mill asymmetries. We show that certain properties of the conditional dynamics at a single time scale such as a characteristic shape of an asymmetry generating compo...

We describe an application of the BOXES learning algorithm of Michie and Chambers (1968) to a large-scale, real-world problem, namely, learning to control a steel mill. By applying BOXES to a model of a skinpass mill (a type of steel mill), we find that the BOXES algorithm can be made to produce a robust controller relatively quickly. Various aspects of the BOXES algorithm are adapted for the t...

This paper compares Discrete Element Model predictions for power and variations in impact and abrasion (low angle impact) breakage with power and grinding rate predictions from the more "traditional" JKMRC models. The DEM predictions are based on measured mill load sizings from a large industrial SAG mill at two operating conditions. The load sizings can also be predicted with reasonable accura...

the rice industry to 1) estimate the milling yield that may be expected of rice lots when milled in large-scale milling systems and 2) produce milled rice samples from which visual, functional, sensory and nutritional assessments of the rice lot can be made. This chapter presents factors that can affect the laboratory measurement of rice milling yield, focusing on the use of the McGill #2 rice ...

L aboratory milling systems are used throughout the rice industry to 1) estimate the milling yield that may be expected of rice lots when milled in large-scale milling systems and 2) produce milled rice samples from which visual, functional, sensory and nutritional assessments of the rice lot can be made. This chapter presents factors that can affect the laboratory measurement of rice milling ...

The shell liner type, rotation speed, and ball filling percent are the key factors influencing the charge behavior inside the SAG mills, and consequently, their performance. In this work, the milling operation of industrial SAG mills is investigated using the Discrete Element Method (DEM). First, an industrial SAG mill with dimensions of 9.50 m × 4.42 m that has a Smooth-type liner is sim...