Journal of Minerals and Materials Characterization and Engineering
Vol.11 No.10(2012), Paper ID 24034, 11
pages
DOI:10.4236/jmmce.2012.1110108
Modeling the Drilling Process of Aluminum Composites Using Multiple Regression Analysis and Artificial Neural Networks
Ahmad Mayyas, Awni Qasaimeh, Khalid Alzoubi, Susan Lu, Mohammed T. Hayajneh, Adel M. Hassan
Department of Automotive Engineering, Clemson University International Center for Automotive Research (CU-ICAR),
System Science and Industrial Engineering, Binghamton University, State University of New York, New York, USA
System Science and Industrial Engineering, Binghamton University, State University of New York, New York, USA
System Science and Industrial Engineering, Binghamton University, State University of New York, New York, USA
Industrial Engineering Department, Jordan University of Science and Technology, Irbid, Jordan
Industrial Engineering Department, Jordan University of Science and Technology, Irbid, Jordan
Copyright © 2012 Ahmad Mayyas, Awni Qasaimeh, Khalid Alzoubi, Susan Lu, Mohammed T. Hayajneh, Adel M. Hassan et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
A. Mayyas, A. Qasaimeh, K. Alzoubi, S. Lu, M. Hayajneh and A. Hassan, "Modeling the Drilling Process of Aluminum Composites Using Multiple Regression Analysis and Artificial Neural Networks,"
Journal of Minerals and Materials Characterization and Engineering, Vol. 11 No. 10, 2012, pp. 1039-1049. doi:
10.4236/jmmce.2012.1110108.