Artificial neural network modeling for surface roughness prediction in cylindrical grinding of Al‐SiCp metal matrix composites and ANOVA analysis


Autoria(s): Chandrasekaran, M; Devarasiddappa, D
Data(s)

23/07/2014

23/07/2014

01/06/2014

Resumo

Metal matrix composites (MMC) having aluminium (Al) in the matrix phase and silicon carbide particles (SiCp) in reinforcement phase, ie Al‐SiCp type MMC, have gained popularity in the re‐cent past. In this competitive age, manufacturing industries strive to produce superior quality products at reasonable price. This is possible by achieving higher productivity while performing machining at optimum combinations of process variables. The low weight and high strength MMC are found suitable for variety of components

Advances in production engineering and management,vol 9 no 2,pp 59-70

CUSAT

Identificador

1854-6250

http://dyuthi.cusat.ac.in/purl/4267

Idioma(s)

en

Palavras-Chave #metal matrix composites #culindrical grinding #surface roughness #artificial neural network #analysis of variance
Tipo

Article