Derivation of statistical models to predict roughness parameters during machining process of PEEK composites using PCD and K10 tools

Francisco Mata; Issam Hanafi; Abdellatif  Khamlichi; Abdallah Jabbouri; Mohammed Bezzazi

doi:10.5897/IJPS.9000153

International Journal of
Physical Sciences

Abbreviation: Int. J. Phys. Sci.
Language: English
ISSN: 1992-1950
DOI: 10.5897/IJPS
Start Year: 2006
Published Articles: 2572

Full Length Research Paper

Derivation of statistical models to predict roughness parameters during machining process of PEEK composites using PCD and K10 tools

Francisco Mata1*, Issam Hanafi2, Abdellatif Khamlichi2, Abdallah Jabbouri3 and Mohammed Bezzazi3

1Polytechnic School of Almadén, University of Castilla-La Mancha, Plaza Manuel Meca,1, 13412 Almadén, Spain. 2EMS2M, Faculty of Sciences at Tetouan, BP. 2121, M'hannech, Tetouan, Morocco. 3EMMS, Faculty of Sciences and technology at Tangier, BP 416, Tangier, Morocco
Email: [email protected]

Article Number - 20CB6CF19085
Vol.4(6), pp. 369-376 , June 2009
https://doi.org/10.5897/IJPS.9000153

Accepted: 08 June 2009
Published: 30 June 2009

Copyright © 2024 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0.

CrossRef Citations (0)

See more citations on Google Scholar

1

No citation found

This article is published under the terms of the Creative Commons Attribution License 4.0

Back to Vol. 4 No. 6

Back to articles

Views: 0
Downloads: 0

Related Articles:
On Google
On Google Scholar

Articles on Google by:

International Journal of Physical Sciences

Derivation of statistical models to predict roughness parameters during machining process of PEEK composites using PCD and K10 tools

Francisco Mata1*, Issam Hanafi2, Abdellatif Khamlichi2, Abdallah Jabbouri3 and Mohammed Bezzazi3

International Journal of
Physical Sciences