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157684

Characterization of the Cutting Conditions in Turning Operation Using the Gray Levels CO-Occurrence Matrix.

Article

Last updated: 04 Jan 2025

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Subjects

-

Tags

Production Engineering and Mechanical Design

Abstract

The term texture features is considered a basic issue in image processing and computer vision because it is related to the qualitative properties of surfaces. Image texture analysis is useful in a variety of applications and has been a subject of intense study in many applications such as metal surface analysis, textiles characterization, ultrasonic images processing, and food qualities evaluation. One of the most common methods for texture analysis is the gray level co-occurrence matrix (GLCM), which has been widely used in industries because it has a large number of texture features that can be used to describe object textures. This paper introduces an application of the image texture features to characterize the effect of changing the cutting conditions in turning operations (feed, speed and depth of cut). A set of turning specimens with different cutting conditions were used for the characterization process. A vision system was employed to capture images for the specimens under investigation, then the images were analyzed using special software, which has been fully developed in-house to calculate all available texture features from the captured images. The correlation coefficients between each texture feature and the three cutting conditions were calculated and discussed. The results showed that eight texture features have good correlations with the feed; five have good correlations with the speed, while no texture features found to be have good correlations with the depth of cut. 

DOI

10.21608/bfemu.2021.157684

Keywords

Computer Vision, Co-occurrence matrix, cutting conditions, Texture Features, Turning

Authors

First Name

Elamir

Last Name

Gadelmawla

MiddleName

-

Affiliation

Production Engineering and Mechanical Design Department, Faculty of Engineering, Mansoura University, 35516 Mansoura, Egypt

Email

esamy@mans.edu.eg

City

Mansoura

Orcid

-

Volume

34

Article Issue

3

Related Issue

18584

Issue Date

2009-09-01

Receive Date

2009-07-11

Publish Date

2021-03-18

Page Start

10

Page End

21

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 34_Issue 3_Pages 10-21.pdf

PDF . 564.9kB

Link

https://bfemu.journals.ekb.eg/article_157684.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=157684

Order

7

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

Characterization of the Cutting Conditions in Turning Operation Using the Gray Levels CO-Occurrence Matrix.

Details

Type

Article

Created At

22 Jan 2023