Attainment Of More Precise Parameters
Of A Mathematical Model For Cooling Flat And
Cylindrical Hot Surfaces By Nozzles
Author(s)
M. Pohanka, M. Raudensky & J Horsky
Abstract
The paper describes a method of improving parameters of an experimental data
based mathematical model of cooling by water-nozzles using a neural network.
Experiments are carried out using hot flat and cylindrical moving objects. These
experiments simulate industrial applications such as cooling in continuous
casting, cooling of products in hot rolling, and cooling of rolls in rolling
technology. The measurements are evaluated using the inverse 3D task. The
inverse task computes the surface temperature history and heat transfer
coefficients. Using the heat transfer coefficients, the parameters for the
mathematical model of cooling are obtained for a specific nozzle. Their
correctness is verified using the computer simulation of
Keywords
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