Performance Prediction Model of Dynamic Pressure Oil-Air Separator
Based on the aeroengine lubricating oil system test bench, this paper used a dimensional analysis method to establish a mathematical model for predicting the separation efficiency and resistance of a dynamic pressure oil-air separator suitable for engineering. The analysis of the multivariate nonlin...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/6665869 |
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| _version_ | 1832565947600207872 |
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| author | Xiaobin Zhang Lei Lang Xiaofeng Zhang Hongqing Lv Na Gao |
| author_facet | Xiaobin Zhang Lei Lang Xiaofeng Zhang Hongqing Lv Na Gao |
| author_sort | Xiaobin Zhang |
| collection | DOAJ |
| description | Based on the aeroengine lubricating oil system test bench, this paper used a dimensional analysis method to establish a mathematical model for predicting the separation efficiency and resistance of a dynamic pressure oil-air separator suitable for engineering. The analysis of the multivariate nonlinear fitting error and the experimental data showed that the established separation efficiency and resistance model could accurately predict the separation and resistance performance of the dynamic pressure oil-air separator within a certain range; the average error of the four separation characteristic prediction models was 3.5%, and the maximum error was less than 16%. The model that was established by the least square method had the highest accuracy; the average error of the multivariate nonlinear fitting of the four resistance characteristic prediction models was less than 4%, and the maximum error was less than 15%, which could be used to predict the resistance performance of the separator. The applicable working condition of the model is lubricating oil flow rate 4.3~8.5 L/min and oil-air ratio 0.5~3. |
| format | Article |
| id | doaj-art-aeb52d6c159441c594fc39c62cff7bd6 |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-aeb52d6c159441c594fc39c62cff7bd62025-02-03T01:05:30ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742021-01-01202110.1155/2021/66658696665869Performance Prediction Model of Dynamic Pressure Oil-Air SeparatorXiaobin Zhang0Lei Lang1Xiaofeng Zhang2Hongqing Lv3Na Gao4College of Aerospace and Civil Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Aerospace and Civil Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Aerospace and Civil Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Aerospace and Civil Engineering, Harbin Engineering University, Harbin 150001, ChinaAvic Aerodynamics Research Institute, Harbin 150001, ChinaBased on the aeroengine lubricating oil system test bench, this paper used a dimensional analysis method to establish a mathematical model for predicting the separation efficiency and resistance of a dynamic pressure oil-air separator suitable for engineering. The analysis of the multivariate nonlinear fitting error and the experimental data showed that the established separation efficiency and resistance model could accurately predict the separation and resistance performance of the dynamic pressure oil-air separator within a certain range; the average error of the four separation characteristic prediction models was 3.5%, and the maximum error was less than 16%. The model that was established by the least square method had the highest accuracy; the average error of the multivariate nonlinear fitting of the four resistance characteristic prediction models was less than 4%, and the maximum error was less than 15%, which could be used to predict the resistance performance of the separator. The applicable working condition of the model is lubricating oil flow rate 4.3~8.5 L/min and oil-air ratio 0.5~3.http://dx.doi.org/10.1155/2021/6665869 |
| spellingShingle | Xiaobin Zhang Lei Lang Xiaofeng Zhang Hongqing Lv Na Gao Performance Prediction Model of Dynamic Pressure Oil-Air Separator International Journal of Aerospace Engineering |
| title | Performance Prediction Model of Dynamic Pressure Oil-Air Separator |
| title_full | Performance Prediction Model of Dynamic Pressure Oil-Air Separator |
| title_fullStr | Performance Prediction Model of Dynamic Pressure Oil-Air Separator |
| title_full_unstemmed | Performance Prediction Model of Dynamic Pressure Oil-Air Separator |
| title_short | Performance Prediction Model of Dynamic Pressure Oil-Air Separator |
| title_sort | performance prediction model of dynamic pressure oil air separator |
| url | http://dx.doi.org/10.1155/2021/6665869 |
| work_keys_str_mv | AT xiaobinzhang performancepredictionmodelofdynamicpressureoilairseparator AT leilang performancepredictionmodelofdynamicpressureoilairseparator AT xiaofengzhang performancepredictionmodelofdynamicpressureoilairseparator AT hongqinglv performancepredictionmodelofdynamicpressureoilairseparator AT nagao performancepredictionmodelofdynamicpressureoilairseparator |