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Updated: Sep 29, 2025
09:04
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
Published on: June 1, 2022
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Reliability Analysis of Critical Systems in A Fuel Booster Pump Using Advanced Simulation Techniques
Ying Luo1,2, Yuanyuan Dong2, Yuguang Li2
1School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China.
Materials (Basel, Switzerland)
|March 25, 2022
Summary
This study uses physics-of-failure (PoF) simulations to predict fuel booster pump component fatigue life. Sensitivity analysis identified key design parameters impacting reliability, aiding in robust design.
Area of Science:
- Mechanical Engineering
- Reliability Engineering
- Materials Science
Background:
- Fuel booster pumps face harsh conditions, making reliability design challenging.
- Experimental reliability assessment is difficult due to complexity and operational extremes.
- Advanced simulation techniques offer solutions for design-stage reliability analysis.
Purpose of the Study:
- To predict fatigue life distributions of key fuel booster pump components using PoF-based simulations.
- To identify critical design parameters influencing component mean fatigue life through sensitivity analysis.
- To validate simulation findings with qualitative cause analysis.
Main Methods:
- Physics-of-Failure (PoF)-based reliability simulations were employed.
- Uncertainties of multiple design parameters were considered.
- Sensitivity analysis was performed on four key components: sealing bolt, spline shaft, graphite ring, and inducer.
Main Results:
- Fatigue life distributions for four critical components were predicted.
- Sensitivity analysis identified key design parameters affecting mean fatigue life.
- Specific parameters like 'nominal diameter' and 'preload' for the sealing bolt were highlighted.
Conclusions:
- PoF-based simulations are effective for fuel booster pump reliability assessment.
- Sensitivity analysis successfully pinpointed critical design parameters for enhancing component fatigue life.
- Simulation results align with qualitative cause analysis, supporting their validity.
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