International Journal of Physical Sciences
Subscribe to IJPS
Full Name*
Email Address*

Article Number - 20CB6CF19085


Vol.4(6), pp. 369-376 , June 2009

ISSN: 1992-1950



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 Jabbouriand 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: francisco.mcabrera@uclm.es






 Accepted: 08 June 2009  Published: 30 June 2009

Copyright © 2009 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0


In many scientific fields, non-linear regression based models are of great utility to perform curve adjustment of experimental data. This concept is used in the present study in order to construct adequate adjusted models enabling to make predictions for the different roughness parameters characterizing machining of PEEK composites when using PCD and K10 tools. The adjusted data were obtained by using design of experimental methods and only the main factors affecting roughness during machining of PEEK composites were retained. Since, analysis of variance performed on experimental results has revealed that feed is the main cutting factor that influences surface roughness, nonlinear regression is conducted only in terms of this parameter.

 

Key words: Non-linear regression, machining process, PEEK composites, PCD tool, K10 tool, roughness parameter.


APA (2009). Derivation of statistical models to predict roughness parameters during machining process of PEEK composites using PCD and K10 tools. International Journal of Physical Sciences, 4(6), 369-376.
Chicago Francisco Mata, Issam Hanafi, Abdellatif  Khamlichi, Abdallah Jabbouri and Mohammed Bezzazi. "Derivation of statistical models to predict roughness parameters during machining process of PEEK composites using PCD and K10 tools." International Journal of Physical Sciences 4, no. 6 (2009): 369-376.
MLA Francisco Mata, et al. "Derivation of statistical models to predict roughness parameters during machining process of PEEK composites using PCD and K10 tools." International Journal of Physical Sciences 4.6 (2009): 369-376.
   
DOI
URL http://academicjournals.org/journal/IJPS/article-abstract/20CB6CF19085

Subscription Form