QPSO-BP Neural Network Model for Actuator Pressure and Friction Torque in Solid Rocket Ball Joint NozzlesSource: Journal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 002::page 04025132-1Author:Shan, Xin
,
Han, Xiaobo
,
Zhang, Chuxiao
,
Fu, Chunnan
,
Bian, Lei
,
Chu, Jinkui
,
Zhang, Ran
DOI: 10.1061/JAEEEZ.ASENG-6576Publisher: American Society of Civil Engineers
Abstract: AbstractFriction torque is crucial to the overall design, reliability of motion, and accuracy
of a rocket nozzle. The accurate prediction of driving pressure is essential for calculating
the friction torque. To address this issue, we propose a prediction ...Practical ApplicationsThis paper provides rocket engineers and aerospace practitioners with a highly accurate
tool for predicting the driving pressure needed to control rocket nozzles during flight.
The QPSO-BP neural network model achieves an average ...
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| contributor author | Shan, Xin | |
| contributor author | Han, Xiaobo | |
| contributor author | Zhang, Chuxiao | |
| contributor author | Fu, Chunnan | |
| contributor author | Bian, Lei | |
| contributor author | Chu, Jinkui | |
| contributor author | Zhang, Ran | |
| date accessioned | 2026-08-20T21:15:07Z | |
| date available | 2026-08-20T21:15:07Z | |
| date copyright | 2025/11/29 | |
| date issued | 2026 | |
| identifier other | JAEEEZ.ASENG-6576.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314182 | |
| description abstract | AbstractFriction torque is crucial to the overall design, reliability of motion, and accuracy of a rocket nozzle. The accurate prediction of driving pressure is essential for calculating the friction torque. To address this issue, we propose a prediction ...Practical ApplicationsThis paper provides rocket engineers and aerospace practitioners with a highly accurate tool for predicting the driving pressure needed to control rocket nozzles during flight. The QPSO-BP neural network model achieves an average ... | |
| publisher | American Society of Civil Engineers | |
| title | QPSO-BP Neural Network Model for Actuator Pressure and Friction Torque in Solid Rocket Ball Joint Nozzles | |
| type | Journal Article | |
| journal volume | 39 | |
| journal issue | 2 | |
| journal title | Journal of Aerospace Engineering | |
| identifier doi | 10.1061/JAEEEZ.ASENG-6576 | |
| journal fristpage | 04025132-1 | |
| journal lastpage | 04025132-12 | |
| page | 12 | |
| tree | Journal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 002 | |
| contenttype | Fulltext |