Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades
Aiming at the problem of low resources utilization of rotating blades in the selection process of aeroengine fan rotor blades, this paper takes the first-order bending dispersion, first-order torque dispersion, and gravitational moment difference of rotor blades as the selection criteria and takes t...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/5595535 |
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| _version_ | 1832550845522116608 |
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| author | Lili Li Kun Chen Jianmin Gao Zhiyong Gao Junkong Liu |
| author_facet | Lili Li Kun Chen Jianmin Gao Zhiyong Gao Junkong Liu |
| author_sort | Lili Li |
| collection | DOAJ |
| description | Aiming at the problem of low resources utilization of rotating blades in the selection process of aeroengine fan rotor blades, this paper takes the first-order bending dispersion, first-order torque dispersion, and gravitational moment difference of rotor blades as the selection criteria and takes the minimum remaining blades as the optimization goal. An intelligent selection algorithm of blades based on the collocation degree of blades is proposed and achieves the efficient selection and full utilization of rotating blades. Aiming at the problem of multiple installations and multiple adjustments and low assembly success rate of fan rotor blades, this paper takes the gravity moment difference of the two blades at the diagonal position of 180° as the constraint and takes the minimum residual unbalance as the optimization objective, adopts the improved simulated annealing algorithm to optimize the assembly sequence of rotating blades, and greatly reduces the residual unbalance of blades, which is beneficial to reduce the number of assembly adjustments of blades. The optimizing selection and optimizing matching methods of rotating blades realize the full utilization and efficient assembly of blades and lays a foundation for the reliability and robustness of the assembly quality and service performance of blades. |
| format | Article |
| id | doaj-art-8399530af79049fd928efee49b17e4c5 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-8399530af79049fd928efee49b17e4c52025-02-03T06:05:43ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/55955355595535Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor BladesLili Li0Kun Chen1Jianmin Gao2Zhiyong Gao3Junkong Liu4State Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi’an Jiao Tong University, Xi’an 710049, ChinaState Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi’an Jiao Tong University, Xi’an 710049, ChinaState Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi’an Jiao Tong University, Xi’an 710049, ChinaState Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi’an Jiao Tong University, Xi’an 710049, ChinaState Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi’an Jiao Tong University, Xi’an 710049, ChinaAiming at the problem of low resources utilization of rotating blades in the selection process of aeroengine fan rotor blades, this paper takes the first-order bending dispersion, first-order torque dispersion, and gravitational moment difference of rotor blades as the selection criteria and takes the minimum remaining blades as the optimization goal. An intelligent selection algorithm of blades based on the collocation degree of blades is proposed and achieves the efficient selection and full utilization of rotating blades. Aiming at the problem of multiple installations and multiple adjustments and low assembly success rate of fan rotor blades, this paper takes the gravity moment difference of the two blades at the diagonal position of 180° as the constraint and takes the minimum residual unbalance as the optimization objective, adopts the improved simulated annealing algorithm to optimize the assembly sequence of rotating blades, and greatly reduces the residual unbalance of blades, which is beneficial to reduce the number of assembly adjustments of blades. The optimizing selection and optimizing matching methods of rotating blades realize the full utilization and efficient assembly of blades and lays a foundation for the reliability and robustness of the assembly quality and service performance of blades.http://dx.doi.org/10.1155/2021/5595535 |
| spellingShingle | Lili Li Kun Chen Jianmin Gao Zhiyong Gao Junkong Liu Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades Shock and Vibration |
| title | Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades |
| title_full | Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades |
| title_fullStr | Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades |
| title_full_unstemmed | Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades |
| title_short | Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades |
| title_sort | research on optimizing selection and optimizing matching technologies of aeroengine fan rotor blades |
| url | http://dx.doi.org/10.1155/2021/5595535 |
| work_keys_str_mv | AT lilili researchonoptimizingselectionandoptimizingmatchingtechnologiesofaeroenginefanrotorblades AT kunchen researchonoptimizingselectionandoptimizingmatchingtechnologiesofaeroenginefanrotorblades AT jianmingao researchonoptimizingselectionandoptimizingmatchingtechnologiesofaeroenginefanrotorblades AT zhiyonggao researchonoptimizingselectionandoptimizingmatchingtechnologiesofaeroenginefanrotorblades AT junkongliu researchonoptimizingselectionandoptimizingmatchingtechnologiesofaeroenginefanrotorblades |