Comparison of Methods for Determining the Thermal Conductivity in Induction Heated Industrial Rotating Calenders

Autor:	Andrzej Frączyk, Piotr Urbanek, Jacek Kucharski
Rok vydání:	2012
Předmět:	Thermal conductivity Artificial neural network Property (programming) Computer science Thermal Optimization methods Mechanical engineering Boundary value problem Thermal conduction
Zdroj:	ipc. 17:307-312
ISSN:	1425-140X
DOI:	10.2478/v10248-012-0059-2
Popis:	In many technical applications it is necessary to know thermal diffusity and heat conduction in solids, liquids and gaseous. In case of solid bodies the experimental determination of those properties requires use of special laboratory stands which provides the appropriate initial and boundary conditions necessary to solve invert problems. In the paper two methods of determine thermal property of metals has been presented and discussed. First method is based on classical optimization methods and the second one by artificial neural network, which is trained with data from numerical model of investigated body. Both method were tested on real laboratory model.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2fdf45eaea44dfb183ea75e71a4319cf https://doi.org/10.2478/v10248-012-0059-2 Zobrazit plný text záznamu