Structural optimization and flow field analysis of turbomolecular pump based on a new performance prediction algorithm
Abstract In the present study, a new turbomolecular pump (TMP) performance prediction algorithm is proposed according to the variable surface combined blade row (VSCBR) geometric model. The simulation calculation program is designed to perform structural optimization and flow field analysis. Researc...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-63690-9 |
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| _version_ | 1841544613879349248 |
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| author | Kun Sun Haishun Deng Cheng Wang Shiwei Zhang |
| author_facet | Kun Sun Haishun Deng Cheng Wang Shiwei Zhang |
| author_sort | Kun Sun |
| collection | DOAJ |
| description | Abstract In the present study, a new turbomolecular pump (TMP) performance prediction algorithm is proposed according to the variable surface combined blade row (VSCBR) geometric model. The simulation calculation program is designed to perform structural optimization and flow field analysis. Research on the pumping performance of the traditional straight blade row (TSBR) indicates that when the blade velocity ratio is greater than 1, the increase in the pumping speed and compression ratio of the TMP gradually tends to stabilize. Response surface methodology is used to optimize the structural parameters of the first four stages of the combined blade row. The optimized VSCBR increases the pumping speed by 18.2% compared to that of the TSBR. The flow field analysis based on the optimized VSCBR shows that gas molecules reaching the rear blades are likely to approach the outlet, and the proportion of gas molecules in this region exceeds 50%. Therefore, the blades we designed should be conducive to additional gas molecules reaching the outlet. |
| format | Article |
| id | doaj-art-b0d4e819ce4f4691a7bace101dece48a |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-b0d4e819ce4f4691a7bace101dece48a2025-01-12T12:25:06ZengNature PortfolioScientific Reports2045-23222024-06-0114111510.1038/s41598-024-63690-9Structural optimization and flow field analysis of turbomolecular pump based on a new performance prediction algorithmKun Sun0Haishun Deng1Cheng Wang2Shiwei Zhang3School of Mechatronics Engineering, Anhui University of Science and TechnologySchool of Mechatronics Engineering, Anhui University of Science and TechnologySchool of Mechatronics Engineering, Anhui University of Science and TechnologySchool of Mechanical Engineering & Automation, Northeastern UniversityAbstract In the present study, a new turbomolecular pump (TMP) performance prediction algorithm is proposed according to the variable surface combined blade row (VSCBR) geometric model. The simulation calculation program is designed to perform structural optimization and flow field analysis. Research on the pumping performance of the traditional straight blade row (TSBR) indicates that when the blade velocity ratio is greater than 1, the increase in the pumping speed and compression ratio of the TMP gradually tends to stabilize. Response surface methodology is used to optimize the structural parameters of the first four stages of the combined blade row. The optimized VSCBR increases the pumping speed by 18.2% compared to that of the TSBR. The flow field analysis based on the optimized VSCBR shows that gas molecules reaching the rear blades are likely to approach the outlet, and the proportion of gas molecules in this region exceeds 50%. Therefore, the blades we designed should be conducive to additional gas molecules reaching the outlet.https://doi.org/10.1038/s41598-024-63690-9 |
| spellingShingle | Kun Sun Haishun Deng Cheng Wang Shiwei Zhang Structural optimization and flow field analysis of turbomolecular pump based on a new performance prediction algorithm Scientific Reports |
| title | Structural optimization and flow field analysis of turbomolecular pump based on a new performance prediction algorithm |
| title_full | Structural optimization and flow field analysis of turbomolecular pump based on a new performance prediction algorithm |
| title_fullStr | Structural optimization and flow field analysis of turbomolecular pump based on a new performance prediction algorithm |
| title_full_unstemmed | Structural optimization and flow field analysis of turbomolecular pump based on a new performance prediction algorithm |
| title_short | Structural optimization and flow field analysis of turbomolecular pump based on a new performance prediction algorithm |
| title_sort | structural optimization and flow field analysis of turbomolecular pump based on a new performance prediction algorithm |
| url | https://doi.org/10.1038/s41598-024-63690-9 |
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