Optimization of cutting parameters in milling process using genetic Algorithm and anova (March 2020)
Author
Source
Engineering and Technology Journal
Issue
Vol. 38, Issue 10A (31 Oct. 2020), pp.1489-1503, 15 p.
Publisher
Publication Date
2020-10-31
Country of Publication
Iraq
No. of Pages
15
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract EN
In this present work use a genetic algorithm for the selection of cutting conditions in milling operation such as cutting speed, feed and depth of cut to investigate the optimal value and the effects of it on the material removal rate and tool wear.
The material selected for this work was Ti-6Al-4V Alloy using H13A carbide as a cutting tool.
Two objective functions have been adopted gives minimum tool wear and maximum material removal rate that issimultaneously optimized.
Finally, it does conclude from the results that the optimal value of cutting speed is (1992.601m/min), depth of cut is (1.55mm) and feed is (148.203mm/rev) for the present cutting conditions in milling operation such as cutting speed, feed and depth of cut to investigate the optimal value and the effects of it on the material removal rate and tool wear.
The material selected for this work was Ti-6Al-4V Alloy using H13A carbide as a cutting tool.
Two objective functions have been adopted gives minimum tool wear and maximum material removal rate that issimultaneously optimized.
Finally, it does conclude from the results that the optimal value of cutting speed is (1992.601m/min), depth of cut is (1.55mm) and feed is (148.203mm/rev) for the present work
American Psychological Association (APA)
Ibrahim, Marwah Qasim. 2020. Optimization of cutting parameters in milling process using genetic Algorithm and anova (March 2020). Engineering and Technology Journal،Vol. 38, no. 10A, pp.1489-1503.
https://search.emarefa.net/detail/BIM-1235575
Modern Language Association (MLA)
Ibrahim, Marwah Qasim. Optimization of cutting parameters in milling process using genetic Algorithm and anova (March 2020). Engineering and Technology Journal Vol. 38, no. 10A (2020), pp.1489-1503.
https://search.emarefa.net/detail/BIM-1235575
American Medical Association (AMA)
Ibrahim, Marwah Qasim. Optimization of cutting parameters in milling process using genetic Algorithm and anova (March 2020). Engineering and Technology Journal. 2020. Vol. 38, no. 10A, pp.1489-1503.
https://search.emarefa.net/detail/BIM-1235575
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1503
Record ID
BIM-1235575