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118051

A New Fuzzy Logic Approach for Prediction of Surface Roughness.

Article

Last updated: 22 Jan 2023

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Subjects

-

Tags

Production Engineering and Mechanical Design

Abstract

The quality of mechanical components depends largely on their surface roughness (Ra). The surface roughness is greatly affected by various cutting factors, the most important being feed, cutting speed and also the cutting depth. So, there are many researches dealing with this topic, some of which perform experiments on different materials to determine the value of Ra and others try to make programs to predict surface roughness to reduce time, cost and effort consumed in experiments. In this paper, a new fuzzy logic approach isintroduced to predict interstitial valuesof Ra. Data  set  used  in fuzzy logic approach is obtained from turning of Ti-6AL-4L [14]. A Matlab toolbox is used for training of fuzzy logic approach. Predicted results using this approach show good results in comparison with experimental & theoretical onesresults using this approach show good results in comparison with experimental & theoretical ones

DOI

10.21608/bfemu.2020.118051

Keywords

Fuzzy Logic, Surface roughness, Machining, prediction

Authors

First Name

Fatma

Last Name

Elerian

MiddleName

Abdallah

Affiliation

Production engineering and Mechanical design department, Faculty of engineering, Mansoura university

Email

fatmaelerian@mans.edu.eg

City

-

Orcid

0000-0002-7375-6621

Volume

45

Article Issue

3

Related Issue

15732

Issue Date

2020-09-01

Receive Date

2020-06-13

Publish Date

2020-10-10

Page Start

50

Page End

56

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 45_Issue 3_Pages 50-56.pdf

PDF . 416.3kB

Link

https://bfemu.journals.ekb.eg/article_118051.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=118051

Order

18

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

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

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023