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Modeling of Drilling Forces Based on Twist Drill Point Angles Using Multigene Genetic Programming
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The mathematical model was developed for predicting the influence of the drill point angles on the cutting forces in drilling with the twist drills, which was used to optimize those angles for reducing drilling forces.
The approach was based on multigene genetic programming, for the training data, the grinding tests of twist drill were firstly conducted for the different drill point angles in Biglide parallel machine, and then drilling tests were performed on carbon fiber reinforced plastics using the grinded drills.
The effectiveness of the proposed approach was verified through comparing with published data.
It was found that the proposed model agreed well with the experimental data and was useful for improving the performance of twist drill.
American Psychological Association (APA)
Kim, Myong-Il& Zou, Ping. 2016. Modeling of Drilling Forces Based on Twist Drill Point Angles Using Multigene Genetic Programming. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112489
Modern Language Association (MLA)
Kim, Myong-Il& Zou, Ping. Modeling of Drilling Forces Based on Twist Drill Point Angles Using Multigene Genetic Programming. Mathematical Problems in Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1112489
American Medical Association (AMA)
Kim, Myong-Il& Zou, Ping. Modeling of Drilling Forces Based on Twist Drill Point Angles Using Multigene Genetic Programming. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112489
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112489