Now showing items 1-10 of 200
Gas residence time testing and model fitting : a study of gas-solids contacting in fluidised beds.
This work is concerned with the effect of vessel geometry on the hydrodynamics of fluidisation of a bed of milled iron oxide. The effect of going from a cold model representative of a typical pilot plant reactor to one ...
Design and operation of a multistage pressurized fluidized bed combuster.
A three-stage Pressurized Fluidized Bed Combustor (PFBC) of principal dimensions, O,4Sm internal diameter by4m high was designed and fabricated to burn South African coals, with particular reference to coals unsuitable ...
Kinetic and mechanistic studies on the biological and chemical leaching of nickel from sulphide ores.
The aim of this investigation was to extend the knowledge of the bacterial leaching of copper and zinc sulphides into the area of nickel sulphide leaching. By far the major portion of both theoretical and practical expertise ...
Comparison between air drying and steam drying in a fluidized bed.
No abstract available.
A study of an on-line recursive filter applied to a milling circuit.
No abstract available.
Neural network models for leukaemia.
Artificial neural networks (ANN) can detect complex non-linear relationships between independent and dependent variables. Properly trained ANNs have repeatedly demonstrated superior predictive accuracy to other predictive ...
Real-time observer modelling of a gas-phase ethylene polymerisation reactor.
The desire for precise polymer property control, minimum wastage through grade transitions, and early instrument fault detection, has led to a significant effort in the modelling and control of ethylene polymerisation ...
Model predictive control of hybrid systems.
Hybrid systems combine the continuous behavior evolution specified by differential equations with discontinuous changes specified by discrete event logic. Usually these systems in the processing industry can be identified ...
Inverse internal model control of an ethylene polymerisation reactor using artificial neural networks.
An artificial neural network is a mathematical black-box modelling tool. This tool can be used to model complex non-linear multivariable processes. In attempting to create an inverse process model of an industrial linear ...
Adaptive dynamic matrix control for a multivariable training plant.
Dynamic Matrix Control (DMC) has proven to be a powerful tool for optimal regulation of chemical processes under constrained conditions. The internal model of this predictive controller is based on step response measurements ...