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102884

Optimal Tools Selection for Rough Machining of Freeform Cavities Using Cavity Decomposition.

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

Production Engineering and Mechanical Design

Abstract

Tools selection is very important stage in production process-planning and has great impact on the machining time and cost. It is difficult for the part programmer to determine the optimal set of tools that achieve the minimum machining cost. Optimal tools selection is a difficult problem due to large number of tools' combinations and particularly for complex machining features. Some researchers determined the tools sequence by computing each tool accessible volume, however this may not lead to the optimal sequence since they neglect the technological aspects of tool paths. Other research works determined the tools sequence by computing tool paths in more accurate way but it consumed more CPU time. This paper introduces a new and efficient method to find the optimal tools sequence for rough machining of freeform cavities based on tool paths'computationsand cavity decomposition. The newly introduced method saves a lot of complex geometric computations and is more numerically robust than previous methods. The proposed method has been validated against commercial CAM software for correctness and reliability. Computational results show that the proposed method improves the previous method in CPU time by about 30 to 50 %.

DOI

10.21608/bfemu.2020.102884

Keywords

Freeform cavity machining, Tool selection, Optimization, Voronoi diagram, Toolpath

Authors

First Name

T.

Last Name

El-Midany

MiddleName

T.

Affiliation

Professor of Production Engineering, Mansoura University

Email

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City

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Orcid

-

First Name

H.

Last Name

Elshourbagy

MiddleName

E.

Affiliation

Assistant Professor of Production Engineering, Mansoura University

Email

-

City

-

Orcid

-

First Name

M.

Last Name

Elkeran

MiddleName

A.

Affiliation

Demonstrator of Production Engineering, Mansoura University

Email

melkeran@gmail.com

City

-

Orcid

-

Volume

39

Article Issue

2

Related Issue

15553

Issue Date

2014-06-01

Receive Date

2014-04-28

Publish Date

2020-07-14

Page Start

1

Page End

13

Print ISSN

1110-0923

Online ISSN

2735-4202

Link

https://bfemu.journals.ekb.eg/article_102884.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=102884

Order

2

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