Multi-objective optimisation of a novel expansion equal-channel angular spiral extrusion using response surface methodology Article Swipe
Xiang Zhang
,
Xiaoxi Wang
,
Fei Zhang
,
Bo Chen
,
Fengjian Shi
,
Qing Lü
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/3080/1/012059
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/3080/1/012059
Based on the traditional equal channel angular extrusion (ECAE), this paper develops a novel composite for severe plastic deformation, namely expansion equal-channel angular spiral extrusion (Exp-ECASE). We conduct multi-objective optimisation using the response surface method to utilise the maximum effective strain and the minimum strain uniformity coefficient as the optimisation objectives. The variables in this optimisation include the diameter of the expansion channel, the length of the transition channel, and the length of the spiral channel. Moreover, variance analysis is performed on the established model, and its reliability is verified by simulation and experiment. During deformation, the billet was first upset in the expansion channel, breaking and refining coarse grains, with the average hardness rising from 81.8HV to 108.1HV. It was sheared when passing through the die corner, and the hardness increased to 122.8HV. Entering the spiral torsion channel, it underwent intense plastic deformation, and the hardness further rose to 130.3HV, a 59.3% increase.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/3080/1/012059
- OA Status
- diamond
- References
- 10
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413342539
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https://openalex.org/W4413342539Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1742-6596/3080/1/012059Digital Object Identifier
- Title
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Multi-objective optimisation of a novel expansion equal-channel angular spiral extrusion using response surface methodologyWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-08-01Full publication date if available
- Authors
-
Xiang Zhang, Xiaoxi Wang, Fei Zhang, Bo Chen, Fengjian Shi, Qing LüList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/3080/1/012059Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1088/1742-6596/3080/1/012059Direct OA link when available
- Concepts
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Spiral (railway), Equal channel angular extrusion, Extrusion, Response surface methodology, Channel (broadcasting), Surface (topology), Materials science, Geometry, Mechanical engineering, Composite material, Mathematics, Computer science, Engineering, Telecommunications, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.extrusion | 8, 25 |
| abstract_inverted_index.increase. | 154 |
| abstract_inverted_index.increased | 132 |
| abstract_inverted_index.performed | 81 |
| abstract_inverted_index.underwent | 141 |
| abstract_inverted_index.variables | 53 |
| abstract_inverted_index.simulation | 92 |
| abstract_inverted_index.transition | 68 |
| abstract_inverted_index.uniformity | 46 |
| abstract_inverted_index.coefficient | 47 |
| abstract_inverted_index.established | 84 |
| abstract_inverted_index.experiment. | 94 |
| abstract_inverted_index.objectives. | 51 |
| abstract_inverted_index.reliability | 88 |
| abstract_inverted_index.traditional | 4 |
| abstract_inverted_index.(Exp-ECASE). | 26 |
| abstract_inverted_index.deformation, | 19, 96, 144 |
| abstract_inverted_index.optimisation | 30, 50, 56 |
| abstract_inverted_index.equal-channel | 22 |
| abstract_inverted_index.multi-objective | 29 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.40146878 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |