Study on Dynamic Uncertainty and Sensitivity of Gear System Considering the Influence of Machining Accuracy
Due to the limitation of machining accuracy, the transmission performance uncertainty of mass gears must be evaluated quantitatively to provide the basis for its application in the whole machine. Based on the polynomial chaotic expansion (PCE) method, a dynamic uncertainty analysis method for gear s...
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| Format: | Article |
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MDPI AG
2023-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/14/8011 |
| _version_ | 1797590445190021120 |
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| author | Fang Guo Chen Li Jinzhan Su Chao Liu |
| author_facet | Fang Guo Chen Li Jinzhan Su Chao Liu |
| author_sort | Fang Guo |
| collection | DOAJ |
| description | Due to the limitation of machining accuracy, the transmission performance uncertainty of mass gears must be evaluated quantitatively to provide the basis for its application in the whole machine. Based on the polynomial chaotic expansion (PCE) method, a dynamic uncertainty analysis method for gear systems with a specified precision was proposed in this paper. Combined with tooth surface contact analysis and load-bearing contact analysis, a dynamic model of the gear system was established to fully reflect the influence of typical manufacturing errors. Based on this, a PCE model was established to approximate the system dynamics model. The dynamic uncertainty of the gear system was quantified based on the PCE approximation model and the Monte Carlo method, respectively, and the computational accuracy and efficiency of the PCE model with different orders and numbers of sample points were compared and analyzed. Finally, Sobol′ sensitivity indices from the PCE model of the gear system to random errors were computed, and the primary and secondary relationships of influence on the dynamic performance of the gear system were determined. The results showed that the PCE method had good applicability to the quantification of dynamic uncertainty and error sensitivity analysis of gear systems, and it had both accuracy and high efficiency. |
| first_indexed | 2024-03-11T01:21:32Z |
| format | Article |
| id | doaj.art-5ef511ae76134bfe8bafcc6e7b37e4cf |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T01:21:32Z |
| publishDate | 2023-07-01 |
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| series | Applied Sciences |
| spelling | doaj.art-5ef511ae76134bfe8bafcc6e7b37e4cf2023-11-18T18:06:52ZengMDPI AGApplied Sciences2076-34172023-07-011314801110.3390/app13148011Study on Dynamic Uncertainty and Sensitivity of Gear System Considering the Influence of Machining AccuracyFang Guo0Chen Li1Jinzhan Su2Chao Liu3Key Laboratory of Road Construction Technology and Equipment of Ministry of Education, Chang′an University, Middle-Section of Nan′er Huan Road, Xi′an 710064, ChinaKey Laboratory of Road Construction Technology and Equipment of Ministry of Education, Chang′an University, Middle-Section of Nan′er Huan Road, Xi′an 710064, ChinaKey Laboratory of Road Construction Technology and Equipment of Ministry of Education, Chang′an University, Middle-Section of Nan′er Huan Road, Xi′an 710064, ChinaSchool of Mechanical and Precision Instrument Engineering, Xi′an University of Technology, No.5 South Jinhua Road, Xi′an 710048, ChinaDue to the limitation of machining accuracy, the transmission performance uncertainty of mass gears must be evaluated quantitatively to provide the basis for its application in the whole machine. Based on the polynomial chaotic expansion (PCE) method, a dynamic uncertainty analysis method for gear systems with a specified precision was proposed in this paper. Combined with tooth surface contact analysis and load-bearing contact analysis, a dynamic model of the gear system was established to fully reflect the influence of typical manufacturing errors. Based on this, a PCE model was established to approximate the system dynamics model. The dynamic uncertainty of the gear system was quantified based on the PCE approximation model and the Monte Carlo method, respectively, and the computational accuracy and efficiency of the PCE model with different orders and numbers of sample points were compared and analyzed. Finally, Sobol′ sensitivity indices from the PCE model of the gear system to random errors were computed, and the primary and secondary relationships of influence on the dynamic performance of the gear system were determined. The results showed that the PCE method had good applicability to the quantification of dynamic uncertainty and error sensitivity analysis of gear systems, and it had both accuracy and high efficiency.https://www.mdpi.com/2076-3417/13/14/8011polynomial chaotic expansionmachining accuracygear systemdynamic uncertaintySobol′ sensitivity index |
| spellingShingle | Fang Guo Chen Li Jinzhan Su Chao Liu Study on Dynamic Uncertainty and Sensitivity of Gear System Considering the Influence of Machining Accuracy Applied Sciences polynomial chaotic expansion machining accuracy gear system dynamic uncertainty Sobol′ sensitivity index |
| title | Study on Dynamic Uncertainty and Sensitivity of Gear System Considering the Influence of Machining Accuracy |
| title_full | Study on Dynamic Uncertainty and Sensitivity of Gear System Considering the Influence of Machining Accuracy |
| title_fullStr | Study on Dynamic Uncertainty and Sensitivity of Gear System Considering the Influence of Machining Accuracy |
| title_full_unstemmed | Study on Dynamic Uncertainty and Sensitivity of Gear System Considering the Influence of Machining Accuracy |
| title_short | Study on Dynamic Uncertainty and Sensitivity of Gear System Considering the Influence of Machining Accuracy |
| title_sort | study on dynamic uncertainty and sensitivity of gear system considering the influence of machining accuracy |
| topic | polynomial chaotic expansion machining accuracy gear system dynamic uncertainty Sobol′ sensitivity index |
| url | https://www.mdpi.com/2076-3417/13/14/8011 |
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