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37073

INTELLIGENT METHODOLOGY FOR OPTIMAL SELECTION OF NON-TRADITIONAL MACHINING PROCESSES

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Last updated: 04 Jan 2025

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Abstract

ABSTRACT
Manufacture of a product in a desired shape and size with specific characteristics
and properties depends not only on the design of the product but also on the
selection of the appropriate manufacturing process(es) that requires knowledge
about various available alternatives. This paper presents a software for selecting the
optimal non-traditional machining process(es) from twenty one processes. It has
been developed using MATLAB, version (V7.8) release (R2009a), as programming
language with the help of graphical user interface (GUI), visual aids, and fuzzy logic
toolboxes. The selection procedures are based on elimination and ranking
technique, considering important attributes such as workpiece material and shape
generation requirements, NTMPs operational capabilities, and NTMPs economical
and environmental aspects. Cases of partial suitability of a particular process with
respect to the operational requirements and providing unequal importance to them
are considered, which increase the accuracy of the proposed software than previous
works. An industrial case study, taken from Luxcelis Company, is implemented on
the software for verification. Luxcelis Company uses laser machining system for the
formation of cooling holes in high pressure turbine blades for aerospace turbine
engines.

DOI

10.21608/amme.2012.37073

Keywords

Non-Traditional Machining, Material, Shape, Operational Capabilities, Economical Aspects, environmental aspects, Fuzzy Logic, Membership Function, IF-THEN Rules, Sugeno Inference System, and Suitability Index

Authors

First Name

S.

Last Name

El-Bahloul

MiddleName

A.

Affiliation

Demonstrator, Prod. Eng. & Mech. Design Dept, Faculty of Engineering, Mansoura University, Egypt.

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City

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Orcid

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First Name

H.

Last Name

El-Shourbagy

MiddleName

E.

Affiliation

Asst. Prof., Prod. Eng. & Mech. Design Dept, Faculty of Engineering, Mansoura University, Egypt.

Email

-

City

-

Orcid

-

First Name

M.

Last Name

Al-Makky

MiddleName

Y.

Affiliation

Prof., Prod. Eng. Dept, Faculty of Engineering, Alexandria University, Egypt.

Email

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City

-

Orcid

-

First Name

T.

Last Name

El-Midany

MiddleName

T.

Affiliation

Prof., Prod. Eng. & Mech. Design Dept, Faculty of Engineering, Mansoura University, Egypt.

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City

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Volume

15

Article Issue

15th International Conference on Applied Mechanics and Mechanical Engineering.

Related Issue

5891

Issue Date

2012-05-01

Receive Date

2019-06-25

Publish Date

2012-05-01

Page Start

1

Page End

12

Print ISSN

2636-4352

Online ISSN

2636-4360

Link

https://amme.journals.ekb.eg/article_37073.html

Detail API

https://amme.journals.ekb.eg/service?article_code=37073

Order

81

Type

Original Article

Type Code

831

Publication Type

Journal

Publication Title

The International Conference on Applied Mechanics and Mechanical Engineering

Publication Link

https://amme.journals.ekb.eg/

MainTitle

INTELLIGENT METHODOLOGY FOR OPTIMAL SELECTION OF NON-TRADITIONAL MACHINING PROCESSES

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Article

Created At

22 Jan 2023