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Multiple Regression Prediction Model for Cutting Forces in Turning Carbon-Reinforced PEEK CF30
Joint Authors
Mata, Francisco
Khamlichi, Abdellatif
Jabbouri, Abdallah
Bezzazi, Mohammed
Hanafi, Issam
Beamud, Elena
Source
Advances in Materials Science and Engineering
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-09-16
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
Among the thermoplastic polymers available, the reinforced polyetheretherketone with 30% of carbon fibres (PEEK CF 30) demonstrates a particularly good combination of strength, rigidity, and hardness, which prove ideal for industrial applications.
Considering these properties and potential areas of application, it is necessary to investigate the machining of PEEK CF30.
In this study, response surface methodology was applied to predict the cutting forces in turning operations using TiN-coated cutting tools under dry conditions where the machining parameters are cutting speed ranges, feed rate, and depth of cut.
For this study, the experiments have been conducted using full factorial design in the design of experiments (DOEs) on CNC turning machine.
Based on statistical analysis, multiple quadratic regression model for cutting forces was derived with satisfactory R2-squared correlation.
This model proved to be highly preferment for predicting cutting forces.
American Psychological Association (APA)
Mata, Francisco& Beamud, Elena& Hanafi, Issam& Khamlichi, Abdellatif& Jabbouri, Abdallah& Bezzazi, Mohammed. 2010. Multiple Regression Prediction Model for Cutting Forces in Turning Carbon-Reinforced PEEK CF30. Advances in Materials Science and Engineering،Vol. 2010, no. 2010, pp.1-7.
https://search.emarefa.net/detail/BIM-501027
Modern Language Association (MLA)
Mata, Francisco…[et al.]. Multiple Regression Prediction Model for Cutting Forces in Turning Carbon-Reinforced PEEK CF30. Advances in Materials Science and Engineering No. 2010 (2010), pp.1-7.
https://search.emarefa.net/detail/BIM-501027
American Medical Association (AMA)
Mata, Francisco& Beamud, Elena& Hanafi, Issam& Khamlichi, Abdellatif& Jabbouri, Abdallah& Bezzazi, Mohammed. Multiple Regression Prediction Model for Cutting Forces in Turning Carbon-Reinforced PEEK CF30. Advances in Materials Science and Engineering. 2010. Vol. 2010, no. 2010, pp.1-7.
https://search.emarefa.net/detail/BIM-501027
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501027