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

University of Technology

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