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CFD-based aerodynamic optimization of the fairing for a high-speed elevator
Xiawei Shen1,2, Aimin Wang1, Wanbing Liu3
1Huzhou Vocational and Technical College, Huzhou, 313000, China.
Scientific Reports
|July 2, 2025
Summary
Researchers improved high-speed elevator car aerodynamics using computational fluid dynamics (CFD) and a novel fairing design. This optimization significantly reduced aerodynamic resistance, enhancing energy efficiency and performance.
Area of Science:
- Engineering
- Aerodynamics
- Computational Fluid Dynamics (CFD)
Background:
- High-speed elevator cars generate significant aerodynamic drag.
- External flow fields impact energy consumption and performance.
- Novel aerodynamic designs are needed to mitigate drag.
Purpose of the Study:
- To analyze and improve the external aerodynamics of a high-speed elevator car.
- To design and optimize a fairing to reduce aerodynamic resistance.
- To investigate the impact of structural parameters on aerodynamic performance.
Main Methods:
- Computational Fluid Dynamics (CFD) analysis of external flow fields.
- Parametric optimization combining fairing design and CFD.
- Non-Uniform Rational B-Spline (NURBS) curves for fairing parameterization.
- Latin experimental design and response surface model approximation.
- Multi-island genetic algorithm for global optimization.
Main Results:
- Empirical addition of the fairing reduced aerodynamic resistance by 36.6%.
- Optimized fairing design further reduced aerodynamic resistance by 39.3% compared to the original model.
- Fairing structural parameters significantly influence aerodynamic performance.
Conclusions:
- A designed fairing effectively reduces aerodynamic resistance in high-speed elevator cars.
- Advanced optimization techniques yield substantial improvements in aerodynamic efficiency.
- Aerodynamic considerations are critical for high-speed elevator design.
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