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"MATH
MODELLING"
The objective of this presentation is to
explain the types of practical problems to which math modeling may be usefully applied and
to illustrate this with examples from the rolling mill environment. The use of simulation
as a predictive design tool is far from new and frequent examples of physical, analogue
and mathematical models have been used in the past. More recently, three classes of
simulation applications have emerged in a number of different industries, which may be
described by the headings: process design, operator training and automation system test
simulators.
Generally speaking, the design of
simulators for these three classes of application tend to have different priorities for
items such as model accuracy, execution speed, operator interface and input/ouput
facilities for information exchange with external equipment. Factors which promote the
development of simulators for a particular process or type of equipment include: economic
and strategic importance of optimum performance, complex interactions within
multi-variable control systems, safety issues and training requirements. mailto:hatchias_info@hatch.ca for a copy of this paper.
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