Optimization of Electromagnetic Forming Process Parameters for Curved Specimens Based on CCD-RSM Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-6266487/v1
Electromagnetic forming is an efficient, non-contact high-speed forming technology widely used in aerospace, automotive manufacturing, and other industries. This paper introduces a novel curved workpiece based on an elliptical coil, with characteristics similar to rocket propellant tanks. To optimize key parameters for the electromagnetic forming of curved workpieces, the effects of discharge voltage, coil inner diameter, and coil width on the forming results are studied. Finite element simulations using COMSOL, combined with existing AA 2219-O aluminum alloy high-speed forming experimental data, validate the model's accuracy. Sensitivity analysis of key parameters for electromagnetic forming is performed, with discharge voltage, coil inner diameter, and coil width selected as factors for the central composite design (CCD). The influence of various process parameters on the forming characteristics of curved workpieces is explored. Using a response surface optimization method with a forming diameter of 100 mm as the goal, a single-objective optimization model is built to determine the optimal parameter combination. Experimental results show that when the discharge voltage is 4403.27V, the coil inner diameter is 67.7mm, and the coil width is 3.39mm, the electromagnetic forming diameter of the workpiece is closest to 100mm.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-6266487/v1
- https://www.researchsquare.com/article/rs-6266487/latest.pdf
- OA Status
- gold
- References
- 9
- Related Works
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- OpenAlex ID
- https://openalex.org/W4411149115
Raw OpenAlex JSON
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https://openalex.org/W4411149115Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-6266487/v1Digital Object Identifier
- Title
-
Optimization of Electromagnetic Forming Process Parameters for Curved Specimens Based on CCD-RSMWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2025Year of publication
- Publication date
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2025-06-09Full publication date if available
- Authors
-
Jie Tang, Tao Wang, M. H. LiList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-6266487/v1Publisher landing page
- PDF URL
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https://www.researchsquare.com/article/rs-6266487/latest.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.researchsquare.com/article/rs-6266487/latest.pdfDirect OA link when available
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Process (computing), Materials science, Biological system, Computer science, Biology, Operating systemTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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9Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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