On the influence of human factor on mechanical properties in aluminium hot extrusion process

Autor:	I. Peruš, M. Fazarinc, G. Kugler, P. Fajfar
Jazyk:	angličtina
Rok vydání:	2010
Předmět:	hot deformation neural network human factor AA6082 alloy CAE method Mining engineering. Metallurgy TN1-997
Zdroj:	Metalurgija, Vol 49, Iss 2, Pp 87-90 (2010)
Druh dokumentu:	article
ISSN:	0543-5846 1334-2576
Popis:	A non-parametric model was proposed for modelling the influence of different technological and chemical parameters on the mechanical properties of the 6082 aluminium alloys during the hot extrusion process with a special consideration of human factor. It was shown that human factor (influence of process engineers) was important and that it could be efficiently modeled and taken into account by the proposed Conditional Average Estimator (CAE) method. Production might be improved (optimized) by a proper education and/or by eliminating critical process engineers. It was found that the highest values for elongation and yield stress did not coincide with the range of the most frequent combinations of input parameters.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/d5874d25a849455f801fc472cfe25df4 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF