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
Materias
Aluminium alloys - (PALABRA CLAVE DEL AUTOR) Mechanical properties - (PALABRA CLAVE DEL AUTOR) Robust regression - (PALABRA CLAVE DEL AUTOR) Heat treatments - (PALABRA CLAVE DEL AUTOR) INGENIERÍA Y TECNOLOGÍA - (CTI) CIENCIAS TECNOLÓGICAS - (CTI) PROCESOS TECNOLÓGICOS - (CTI) TRANSFERENCIA DE CALOR - (CTI) TRANSFERENCIA DE CALOR - (CTI)
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
Recurso de información
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