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Using advanced mineral characterisation techniques to estimate grinding media consumption at laboratory scale
(Elsevier, 2018-06)
Grinding media is very important in the mineral processing, mainly because its consumption involves significant costs of grinding and consequently, of the total mining operational expenditure. During grinding, chemical and ...
Control of a grinding mill circuit using fractional order controllers
(Elsevier, 2017)
This paper presents the design and application of fractional single-input–single-output (SISO) controllers to a grinding mill circuit, which is a multiple-input–multiple-output (MIMO) process. Two kinds of controllers are ...
Fractional order controllers for throughput and product quality control in a grinding mill circuit
(Elsevier, 2020)
This paper presents the design and application of a multiple-input–multiple-output fractional order proportional-integral (MIMO FOPI) controller to a grinding mill circuit. The MIMO FOPI controller pa- rameters are tuned ...
Detection and identification of ore grindability in a semiautogenous grinding circuit model using wavelet transform variances of measured variables
(ELSEVIER, 2008-12-05)
A reduced dimension dynamic model subject to random disturbances for a semiautogenous grinding (SAG) circuit is developed that is able to handle changes in the characteristics of the new feed ore. This dynamic model, which ...
The prediction of profile deviations when Creep Feed grinding complex geometrical features by use of neural networks and genetic programming with real-time simulation
(Springer-Verlag, 2014)
The capability to generate complex geometry features
at tight tolerances and fine surface roughness is a key
element in implementation of Creep Feed grinding process in
specialist applications such as the aerospace ...
Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 1 intelligent classification from an anomaly perspective
(Springer, 2017)
This paper is the first in a two-part work, where the investigation into the characteristics of multiple machine processes is made in order to accurately control them via the frequently used machine centre platform. The ...
Studying the integration of solar energy into the operation of a semi-autogenous grinding mill. Part I: Framework, model development and effect of solar irradiance forecasting
(Elsevier Ltd, 2019)
Grinding is one of the most energy-demanding processes of copper mines. Declining ore grades and harder rocks will further intensify this demand. Periods of stressed copper prices, high energy costs and climate change ...
An LSTM Approach for SAG Mill Operational Relative-Hardness Prediction
(MDPI, 2020)
Ore hardness plays a critical role in comminution circuits. Ore hardness is usually characterized at sample support in order to populate geometallurgical block models. However, the required attributes are not always available ...
Production and characterization of aluminum powder derived from mechanical saw chips and its processing through powder metallurgy
(ElsevierEstados Unidos, 2020)
Sawing is the most common technique used to break down metals before manufacturing processes, and it produces a considerable amount of wasted aluminum in the form of chips. These chips are small and semi continuous, so ...
Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 2 intelligent control simulation perspective
(2017)
Part 2 of this work looks at the simulation for the accurate control of multiple machine processes made on a machining centre. Specifically the models are based on controlling against two grinding anomalies; grinding burn ...