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Erschienen in:

2017 | OriginalPaper | Buchkapitel

A Multi-parameter Experimental and Statistical Analysis of Surface Texture in Turning of a New Aluminum Matrix Steel Particulate Composite

verfasst von : N. M. Vaxevanidis, N. A. Fountas, G. V. Seretis, C. G. Provatidis, D. E. Manolakos

Erschienen in: Proceedings of 5th International Conference on Advanced Manufacturing Engineering and Technologies

Verlag: Springer International Publishing

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Abstract

Metal matrix composites (MMCs) represent a new generation of engineering materials in which a strong reinforcement is incorporated into a metal matrix to improve its properties including specific strength, specific stiffness, wear resistance, corrosion resistance and elastic modulus. Aluminum matrix composites (AMCs), a specific type of MMCs, are rapidly replacing conventional materials in various engineering applications, especially in the aerospace and automobile industries due to their attractive properties. From the literature already published it is evident that the machining of AMCs is an important area of research, but only very few if any studies have been carried out using metal particles reinforced AMCs. A multi-parameter analysis of surface finish imparted by turning to a new L316 stainless steel flake-reinforced aluminum matrix composite is presented. Surface finish is investigated by examining a number of surface texture parameters. Spindle speed as well as feed rate was treated as the independent variables under a constant depth of cut whilst roughness parameters were considered as the responses under an L9 orthogonal array experimental design. ANOVA analysis was also conducted to study the effect of the two cutting variables on the surface texture responses.

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Titel: A Multi-parameter Experimental and Statistical Analysis of Surface Texture in Turning of a New Aluminum Matrix Steel Particulate Composite
verfasst von: N. M. Vaxevanidis
N. A. Fountas
G. V. Seretis
C. G. Provatidis
D. E. Manolakos
Verlag: Springer International Publishing
Buch: Proceedings of 5th International Conference on Advanced Manufacturing Engineering and Technologies
Print ISBN: 978-3-319-56429-6

Electronic ISBN: 978-3-319-56430-2

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-56430-2_29

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