Machine tool FEM model correction assisted by dynamic evolution sequence Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1038/s41598-025-03058-9
In the simulation analysis of large-scale industrial instruments such as machine tools, in order to ensure simulation accuracy, model parameter correction is necessary. This research presents a machine tool model correction method assisted by the dynamic evolution sequence (DES). The method first introduces a dynamic evolution method to generate a uniformly distributed sequence, replacing the traditional sequence used in Kriging surrogate models, and constructing a more accurate Kriging surrogate model for machine tools. Moreover, replacing the random sequence with a dynamic evolution sequence enhances the search space coverage of the heterogeneous comprehensive learning particle swarm optimization (HCLPSO) algorithm. The results of numerical examples demonstrate that the finite element model, corrected using the proposed method, accurately predicts the true displacement responses of the machine tool. This method offers a new solution for addressing large-scale machine tool static model correction problems.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-025-03058-9
- https://www.nature.com/articles/s41598-025-03058-9.pdf
- OA Status
- gold
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410796921
Raw OpenAlex JSON
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https://openalex.org/W4410796921Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41598-025-03058-9Digital Object Identifier
- Title
-
Machine tool FEM model correction assisted by dynamic evolution sequenceWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-05-28Full publication date if available
- Authors
-
Weihao Lin, Peng Zhong, Xindi Wei, Li Zhu, Xin WuList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-025-03058-9Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-025-03058-9.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-025-03058-9.pdfDirect OA link when available
- Concepts
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Sequence (biology), Computer science, Finite element method, Computational biology, Bioinformatics, Biology, Genetics, Engineering, Structural engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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56Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| primary_location.is_published | True |
| primary_location.raw_source_name | Scientific Reports |
| primary_location.landing_page_url | https://doi.org/10.1038/s41598-025-03058-9 |
| publication_date | 2025-05-28 |
| publication_year | 2025 |
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