Optimization of Electrical Discharge Machining Process by Metaheuristic Algorithms Article Swipe
Nurezayana Zainal
,
Mohanavali Sithambranathan
,
Umar Farooq Khattak
,
Azlan Mohd Zain
,
Salama A. Mostafa
,
Ashanira Mat Deris
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48161/qaj.v4n1a465
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48161/qaj.v4n1a465
Because of its versatility and ability to work with difficult materials, Electrical Discharge Machining (EDM) has become an essential tool in many different industries. It can produce precise shapes and intricate details. EDM has transformed fabrication processes in a variety of industries, including aerospace and electronics, medical implants and surgical instruments, and the shaping of small components. Its capacity to machine undercuts and deep cavities with little material removal makes it ideal for producing complex geometries that would be challenging or impossible to accomplish with conventional machining techniques. Several attempts have been carried out to solve the optimization problem involved in the EDM process. This paper emphasizes optimizing the EDM process using three metaheuristic algorithms: Glowworm Swarm Optimization (GSO), Grey Wolf Optimizer (GWO), and Whale Optimization Algorithm (WOA). The study's outcome showed that the GWO algorithm outperformed the GSO and WOA algorithms in solving the EDM optimization problem and achieved the minimum surface roughness value of 1.7593µm.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.48161/qaj.v4n1a465
- https://journal.qubahan.com/index.php/qaj/article/download/465/154
- OA Status
- diamond
- Cited By
- 4
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393304678
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393304678Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48161/qaj.v4n1a465Digital Object Identifier
- Title
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Optimization of Electrical Discharge Machining Process by Metaheuristic AlgorithmsWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-28Full publication date if available
- Authors
-
Nurezayana Zainal, Mohanavali Sithambranathan, Umar Farooq Khattak, Azlan Mohd Zain, Salama A. Mostafa, Ashanira Mat DerisList of authors in order
- Landing page
-
https://doi.org/10.48161/qaj.v4n1a465Publisher landing page
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-
https://journal.qubahan.com/index.php/qaj/article/download/465/154Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://journal.qubahan.com/index.php/qaj/article/download/465/154Direct OA link when available
- Concepts
-
Electrical discharge machining, Metaheuristic, Process (computing), Machining, Computer science, Algorithm, Mechanical engineering, Engineering, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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31Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.EDM | 32, 102, 109, 145 |
| abstract_inverted_index.GSO | 138 |
| abstract_inverted_index.GWO | 134 |
| abstract_inverted_index.Its | 57 |
| abstract_inverted_index.The | 128 |
| abstract_inverted_index.WOA | 140 |
| abstract_inverted_index.and | 4, 29, 44, 48, 51, 62, 123, 139, 148 |
| abstract_inverted_index.can | 25 |
| abstract_inverted_index.for | 72 |
| abstract_inverted_index.has | 15, 33 |
| abstract_inverted_index.its | 2 |
| abstract_inverted_index.out | 93 |
| abstract_inverted_index.the | 52, 96, 101, 108, 133, 137, 144, 150 |
| abstract_inverted_index.Grey | 119 |
| abstract_inverted_index.This | 104 |
| abstract_inverted_index.Wolf | 120 |
| abstract_inverted_index.been | 91 |
| abstract_inverted_index.deep | 63 |
| abstract_inverted_index.have | 90 |
| abstract_inverted_index.many | 21 |
| abstract_inverted_index.that | 76, 132 |
| abstract_inverted_index.tool | 19 |
| abstract_inverted_index.with | 8, 65, 84 |
| abstract_inverted_index.work | 7 |
| abstract_inverted_index.(EDM) | 14 |
| abstract_inverted_index.Swarm | 116 |
| abstract_inverted_index.Whale | 124 |
| abstract_inverted_index.ideal | 71 |
| abstract_inverted_index.makes | 69 |
| abstract_inverted_index.paper | 105 |
| abstract_inverted_index.small | 55 |
| abstract_inverted_index.solve | 95 |
| abstract_inverted_index.three | 112 |
| abstract_inverted_index.using | 111 |
| abstract_inverted_index.value | 154 |
| abstract_inverted_index.would | 77 |
| abstract_inverted_index.(GSO), | 118 |
| abstract_inverted_index.(GWO), | 122 |
| abstract_inverted_index.(WOA). | 127 |
| abstract_inverted_index.become | 16 |
| abstract_inverted_index.little | 66 |
| abstract_inverted_index.shapes | 28 |
| abstract_inverted_index.showed | 131 |
| abstract_inverted_index.Because | 0 |
| abstract_inverted_index.Several | 88 |
| abstract_inverted_index.ability | 5 |
| abstract_inverted_index.carried | 92 |
| abstract_inverted_index.complex | 74 |
| abstract_inverted_index.machine | 60 |
| abstract_inverted_index.medical | 46 |
| abstract_inverted_index.minimum | 151 |
| abstract_inverted_index.outcome | 130 |
| abstract_inverted_index.precise | 27 |
| abstract_inverted_index.problem | 98, 147 |
| abstract_inverted_index.process | 110 |
| abstract_inverted_index.produce | 26 |
| abstract_inverted_index.removal | 68 |
| abstract_inverted_index.shaping | 53 |
| abstract_inverted_index.solving | 143 |
| abstract_inverted_index.study's | 129 |
| abstract_inverted_index.surface | 152 |
| abstract_inverted_index.variety | 39 |
| abstract_inverted_index.Glowworm | 115 |
| abstract_inverted_index.achieved | 149 |
| abstract_inverted_index.attempts | 89 |
| abstract_inverted_index.capacity | 58 |
| abstract_inverted_index.cavities | 64 |
| abstract_inverted_index.details. | 31 |
| abstract_inverted_index.implants | 47 |
| abstract_inverted_index.involved | 99 |
| abstract_inverted_index.material | 67 |
| abstract_inverted_index.process. | 103 |
| abstract_inverted_index.surgical | 49 |
| abstract_inverted_index.Algorithm | 126 |
| abstract_inverted_index.Discharge | 12 |
| abstract_inverted_index.Machining | 13 |
| abstract_inverted_index.Optimizer | 121 |
| abstract_inverted_index.aerospace | 43 |
| abstract_inverted_index.algorithm | 135 |
| abstract_inverted_index.different | 22 |
| abstract_inverted_index.difficult | 9 |
| abstract_inverted_index.essential | 18 |
| abstract_inverted_index.including | 42 |
| abstract_inverted_index.intricate | 30 |
| abstract_inverted_index.machining | 86 |
| abstract_inverted_index.processes | 36 |
| abstract_inverted_index.producing | 73 |
| abstract_inverted_index.roughness | 153 |
| abstract_inverted_index.undercuts | 61 |
| abstract_inverted_index.1.7593µm. | 156 |
| abstract_inverted_index.Electrical | 11 |
| abstract_inverted_index.accomplish | 83 |
| abstract_inverted_index.algorithms | 141 |
| abstract_inverted_index.emphasizes | 106 |
| abstract_inverted_index.geometries | 75 |
| abstract_inverted_index.impossible | 81 |
| abstract_inverted_index.materials, | 10 |
| abstract_inverted_index.optimizing | 107 |
| abstract_inverted_index.algorithms: | 114 |
| abstract_inverted_index.challenging | 79 |
| abstract_inverted_index.components. | 56 |
| abstract_inverted_index.fabrication | 35 |
| abstract_inverted_index.industries, | 41 |
| abstract_inverted_index.industries. | 23 |
| abstract_inverted_index.techniques. | 87 |
| abstract_inverted_index.transformed | 34 |
| abstract_inverted_index.versatility | 3 |
| abstract_inverted_index.Optimization | 117, 125 |
| abstract_inverted_index.conventional | 85 |
| abstract_inverted_index.electronics, | 45 |
| abstract_inverted_index.instruments, | 50 |
| abstract_inverted_index.optimization | 97, 146 |
| abstract_inverted_index.outperformed | 136 |
| abstract_inverted_index.metaheuristic | 113 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.86159724 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |