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Computer aided flank wear measurement in end milling cutting tool
Joint Authors
Abd Allah, Mustafa Adil
Khulayf, Ali Abbar
Source
Engineering and Technology Journal
Issue
Vol. 34, Issue 5A (31 May. 2016), pp.959-972, 14 p.
Publisher
Publication Date
2016-05-31
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
Flank wear width is generally recognized as the key indicator for tool life.
In the experiments of this study, nine tools made of HSS and stainless steel 316L as work piece with three spindle speeds (550,930 and 1100) rpm and three redial depth of cut (1.5,2 and 2.25)mm were used.
The cutting tool wear was measured using optical microscope and vision system based on a proposed algorithm.
Maximum and minimum percentage errors in the flank wear width were (8.250 % and 0.645 %) respectively.
The numerical method used was by a multiple linear and polynomial regression model and developed a polynomial model, especially to predict the flank wear using MATLAB software.
Maximum and minimum percentage errors were found (14 % and 0.322 %) respectively.
American Psychological Association (APA)
Khulayf, Ali Abbar& Abd Allah, Mustafa Adil. 2016. Computer aided flank wear measurement in end milling cutting tool. Engineering and Technology Journal،Vol. 34, no. 5A, pp.959-972.
https://search.emarefa.net/detail/BIM-696415
Modern Language Association (MLA)
Khulayf, Ali Abbar& Abd Allah, Mustafa Adil. Computer aided flank wear measurement in end milling cutting tool. Engineering and Technology Journal Vol. 34, no. 5A (2016), pp.959-972.
https://search.emarefa.net/detail/BIM-696415
American Medical Association (AMA)
Khulayf, Ali Abbar& Abd Allah, Mustafa Adil. Computer aided flank wear measurement in end milling cutting tool. Engineering and Technology Journal. 2016. Vol. 34, no. 5A, pp.959-972.
https://search.emarefa.net/detail/BIM-696415
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 972
Record ID
BIM-696415