Título

Control parameters correlation by multiple linear robust regression for the design of heat treatments for Al-6063 alloy

Autor

JAN MAYEN CHAIRES

ADRIANA DEL CARMEN GALLEGOS MELGAR

VICTOR HUGO MERCADO LEMUS

MARICRUZ HERNANDEZ HERNANDEZ

Arturo Abúndez-Pliego

Sergio Alonso Serna

Carlos Agustín Poblano Salas

Nivel de Acceso

Acceso Abierto

Referencia de publicación

URL/https://link.springer.com/article/10.1007/s40799-018-0269-7

ISSN/1747-1567 (Online)

doi: DOI 10.1007/s40799-018-0269-7

Resumen o descripción

In this work, an alternative statistical multiple linear robust regression methodology was used to analyze the experimental data obtained from tensile tests performed on heat treated samples of an aluminium 6063 alloy. The proposed methodology allows the identification of empirical relations between the ageing temperature and process time with the mechanical strength (UTS) and yield point (YS) of the alloy. Through these empirical relationships: a) UTS=0.0932TatA−0.1356t2A−0.0002434T2atA+0.00063t3A and b) YS=5.10Ta−20.32tA−0.05281T2a+0.2297TatA+0.0001459T3a−0.0006192T2atA, obtained by using the multiple linear robust regression methodology, it was possible to find that an ageing temperature of 192 °C for 120 min would produce the maximum strength levels for the Al-6063 alloy. For such alloy, empirical relationships were successfully determined for ageing heat treatment design.

Funding provided by Cátedras CONACYT, by supporting researchers with the following ID numbers: 2309, 7360, 5150 and 6471 is greatly appreciated.

Otros autores: E. Alcudia e Isa Pereyra.

Editor

Springer International Publishing AG

Fecha de publicación

2018

Tipo de publicación

Artículo

Versión de la publicación

Versión enviada

Formato

application/pdf

Fuente

Experimental Techniques, First online, 13 p.

Idioma

Inglés

Audiencia

Público en general

Sugerencia de citación

Mayén, J., Gallegos-Melgar, A., Mercado-Lemus, V. et al. Exp Tech (2018). https://doi.org/10.1007/s40799-018-0269-7

Repositorio Orígen

CIATEQ Digital

Descargas

417

Comentarios



Necesitas iniciar sesión o registrarte para comentar.