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Parameter Sensitivity Analysis of Mounting Pedestals and Multi-Objective Optimization for a Multi-Support Rigid Body
Qingyu Zhu1, Qingkai Han1,2, Xiaodong Yang3
1School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China.
Sensors (Basel, Switzerland)
|September 23, 2022
Summary
This study optimizes aeroengine lubricating oil tank mounting pedestals for vibration reduction using advanced algorithms. The optimized design effectively suppresses system vibrations, enhancing dynamic performance in engineering applications.
Area of Science:
- Mechanical Engineering
- Aerospace Engineering
- Vibration Analysis
Background:
- Aeroengine lubricating oil tanks require robust mounting systems to mitigate vibrations.
- Existing designs may not fully address dynamic performance under various operating conditions.
Purpose of the Study:
- To perform parameter sensitivity analysis and multi-objective optimization for vibration reduction in an aeroengine lubricating oil tank system.
- To identify critical mounting pedestal parameters influencing system dynamics.
Main Methods:
- Utilized Sobol's sensitivity analysis method (SSAM) to determine parameter sensitivity.
- Employed the Non-Dominated Sorting Genetic Algorithm III (NSGA-Ⅲ) for multi-objective optimization.
- Established a dynamics model for a three-support rigid body system representing the oil tank.
Main Results:
- Identified the five most sensitive structural parameters of the mounting pedestals.
- Achieved effective suppression of oil tank vibration under unbalanced excitation at typical engine speeds.
- Generated a Pareto-front surface illustrating the trade-offs in the triple-objective optimization.
Conclusions:
- The integrated SSAM and NSGA-Ⅲ approach provides an effective methodology for optimizing vibration reduction in complex mechanical systems.
- The findings offer valuable guidance for designing superior aeroengine external structural systems with enhanced dynamic performance.
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