000022918 001__ 22918
000022918 005__ 20220110134533.0
000022918 04107 $$aeng
000022918 046__ $$k2018-05-14
000022918 100__ $$aWróbel, J.
000022918 24500 $$aControlling the size of heat affected zone for the axisymmetric steel element with the use of ANN

000022918 24630 $$n24.$$pEngineering Mechanics 2018
000022918 260__ $$bInstitute of Theoretical and Applied Mechanics of the Cech Academy of Sciences, Prague
000022918 506__ $$arestricted
000022918 520__ $$2eng$$aThe article is a continuation of the considerations on the heat treatment of steel bars. In the paper, a method of automatic velocity choice of a heat source with the use of an artificial neural network is presented. The heat treatment process was performed for the long axisymmetric elements with variable diameters made from medium carbon steel. The two cases of change, linear and step, of the radius of the steel element are considered. It is assumed that the velocity of the heat source is modified in the process and is updated in real time according to the current diameter. The measurement of the diameter is performed at a constant distance from the heat source. The main task of the model is to control the assumed values of temperature at constant parameters of the heat source such as radius and power. The aim of the system, assuming that the heat source has constant values of power and radius, is to provide the established values of temperature on the surface of a quenching element. Therefore, the parameter of the process controlled by the artificial neural network is the velocity of the heat source. The artificial neural network is trained on the basis of results obtained from copyrighted numerical model of thermal phenomena (stationary task). To solve the steady heat transfer equation (axisymmetric task) with a convective term the finite element method is used. To verify the trained artificial neural network numerical simulations are performed based on the solution of the unsteady heat transfer equation.

000022918 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000022918 653__ $$aheat treatment, moving heat source, artificial neural network, numerical modelling

000022918 7112_ $$aEngineering Mechanics 2018$$cSvratka, CZ$$d2018-05-14 / 2018-05-17$$gEM2018
000022918 720__ $$aWróbel, J.$$iKulawik, A.
000022918 8560_ $$ffischerc@itam.cas.cz
000022918 8564_ $$s614518$$uhttps://invenio.itam.cas.cz/record/22918/files/941.pdf$$yOriginal version of the author's contribution in proceedings, page , section TER.
000022918 962__ $$r21225
000022918 980__ $$aPAPER