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Micro-mold insert fabrication in aluminum 7075 using micro-EDM
ID
Anthuvan, Naveen
(
Author
),
ID
Vijayan, Krishnaraj
(
Author
),
ID
Valentinčič, Joško
(
Author
),
ID
Mohana Krishnan, M.
(
Author
)
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MD5: 2081F9DAA53639B2DA559473C89C9D26
URL - Source URL, Visit
https://www.tandfonline.com/doi/full/10.1080/10426914.2026.2682781
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Abstract
This work presents the fabrication and optimization of a T-shaped micro-mold insert using Micro-Electrical Discharge Machining. Aluminum 7075 was employed as the work material, while EC – grade copper electrode was used as the tool. Experiments were designed using a Taguchi L9 orthogonal array to vary current, voltage, and duty cycle. ANOVA revealed that current is the most dominant influencing parameter, contributing to more than 80 % of the variation in the output responses, followed by duty cycle, whereas voltage exhibited the least influence. The maximum material removal rate of 36.3696 mm▫$^{3}$▫ /min, minimum electrode wear rate of 0.2837 mm▫$^{3}$▫ /min, and a maximum dimensional accuracy of 92.65 % were achieved. GRA applied to the L9 experimental data identified the optimal parameter combination as 3A current, 50 V voltage, and 8s duty cycle. To improve data reliability, the L9 dataset was augmented to an L27 dataset using the Mix-up data augmentation method. Subsequent GRA and ANN optimization of the L27 dataset consistently confirmed current as the primary influencing factor, followed by duty cycle and voltage. The optimized parameters from the L27 analysis were 3 A current, 40 V voltage, and 8 s duty cycle, which are adopted as the final machining conditions.
Language:
English
Keywords:
EDM
,
microinsert
,
GRA
,
ANN
,
electrical discharge machining
,
grey relational analysis
,
neural network
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
Publication status:
Published
Publication version:
Author Accepted Manuscript
Year:
2026
Number of pages:
Str. 1350-1361
Numbering:
Vol. 41, iss. 9
PID:
20.500.12556/RUL-184428
UDC:
621.9.048:669.71
ISSN on article:
1042-6914
DOI:
10.1080/10426914.2026.2682781
COBISS.SI-ID:
282251779
Publication date in RUL:
07.07.2026
Views:
198
Downloads:
121
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Record is a part of a journal
Title:
Materials and manufacturing processes
Shortened title:
Mater. manuf. process.
Publisher:
Taylor & Francis
ISSN:
1042-6914
COBISS.SI-ID:
1485851
Licences
License:
CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:
http://creativecommons.org/licenses/by-nc/4.0/
Description:
A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Secondary language
Language:
Slovenian
Keywords:
elektroerozija
,
elektroerozivna obdelava
,
orodni mikro vložek
,
siva relacijska analiza
,
nevronske mreže
Projects
Funder:
Other - Other funder or multiple funders
Funding programme:
Department of Science and Technology, India
Project number:
Grant S. No 22
Name:
India-Slovenia bilateral project
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
BI-IN/22-24-016-2022
Name:
Izdelovalne verige za serijsko izdelavo mikroreaktorskih sistemov
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