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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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Modeling Vehicle Dust Extraction Impeller Degradation Using TOPSIS-Selected Optimal Degradation Trajectory.

Feng Zhang1, Xunhao Zhang1, Jinze Liu1

  • 1School of Mechanics and Transportation Engineering, Northwestern Polytechnical University, Xi'an 710129, China.

Materials (Basel, Switzerland)
|July 15, 2026
PubMed
Summary

This study developed an accelerated degradation testing method to predict vehicle dust extraction impeller wear. A linear model accurately forecasts impeller blade thickness changes, aiding reliability design in harsh conditions.

Keywords:
TOPSISaccelerated degradation testdegradation modelingdust extraction impellererosion wear

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Area of Science:

  • Mechanical Engineering
  • Reliability Engineering
  • Materials Science

Background:

  • The dust extraction impeller is crucial for vehicle engine performance and safety.
  • Impeller erosion wear in extreme environments poses a significant challenge.
  • Conventional degradation testing is time-consuming and expensive.

Purpose of the Study:

  • To establish an accelerated degradation testing framework for vehicle dust extraction impellers.
  • To identify an optimal model for predicting impeller degradation over time.
  • To provide a basis for reliability design and maintenance planning.

Main Methods:

  • Conducted accelerated degradation testing on 48 impeller blade samples.
  • Used impeller blade thickness change as the degradation indicator.
  • Applied dust concentration and rotational speed as elevated stress factors.
  • Fitted various models (linear, exponential, power-law, logarithmic, Gompertz) to degradation data.
  • Utilized the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for model selection.

Main Results:

  • A linear degradation model was identified as the most accurate predictor.
  • The selected linear model's accuracy was validated across all samples.
  • The framework successfully generated time-series degradation data.

Conclusions:

  • The developed framework provides a practical approach to assess impeller degradation.
  • The linear model enables accurate prediction of dust extraction impeller wear.
  • This study offers a foundation for enhanced reliability and maintenance strategies for vehicle components in extreme environments.