Metering Pin Optimization and Spatial Tolerance Sensitivity in Articulated Aircraft Landing Gear

Metering-pin profiles govern stroke-dependent hydraulic resistance in articulated aircraft landing gear. This study combines multiobjective optimization, analytical diameter-error amplification and spatial sensitivity screening in a twin-wheel vertical-drop model. The model uses an initial absolute gas pressure of 2.95 MPa and defines load factor using a single-wheel static reference. The optimized pin gives a peak single-wheel load factor of 1.21447 over a 2 s response and first-compression energy-utilization efficiency of 95.302%, compared with 1.62791 and 57.268% for a constant pin. Both numerical design targets are met at the prescribed drop condition. Five independent optimization runs assess nominal performance. A 64-case ANSYS 2022 R1 design and 50,176 sensitivity evaluations quantify dimensional effects around the baseline profiled pin. The final-hypervolume coefficient of variation is 0.60%; extending the generation budget improves hypervolume by 0.210–1.200%, indicating remaining finite-budget search dependence. Main-effect and total-order estimates identify a leading station group near 140–170 mm, with uncertainty in detailed ordering. The results support conditional geometric screening. Assembly-specific drop tests and manufacturing-capability measurements are required before production tolerances or qualified landing performance can be established.

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Publication Details

Journal
Applied Sciences
Published
2026-11-04
DOI
https://doi.org/10.3390/app162110943
Primary Topic
Hydraulic and Pneumatic Systems
Type
article
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article

Metering Pin Optimization and Spatial Tolerance Sensitivity in Articulated Aircraft Landing Gear

Qinbo Zhang, Kun Wang, Xie Zhao, Wei Zhang
Applied Sciences
Hydraulic and Pneumatic Systems
article

Metering Pin Optimization and Spatial Tolerance Sensitivity in Articulated Aircraft Landing Gear

Qinbo Zhang, Kun Wang, Xie Zhao, Wei Zhang
article en

Abstract

Metering-pin profiles govern stroke-dependent hydraulic resistance in articulated aircraft landing gear. This study combines multiobjective optimization, analytical diameter-error amplification and spatial sensitivity screening in a twin-wheel vertical-drop model. The model uses an initial absolute gas pressure of 2.95 MPa and defines load factor using a single-wheel static reference. The optimized pin gives a peak single-wheel load factor of 1.21447 over a 2 s response and first-compression energy-utilization efficiency of 95.302%, compared with 1.62791 and 57.268% for a constant pin. Both numerical design targets are met at the prescribed drop condition. Five independent optimization runs assess nominal performance. A 64-case ANSYS 2022 R1 design and 50,176 sensitivity evaluations quantify dimensional effects around the baseline profiled pin. The final-hypervolume coefficient of variation is 0.60%; extending the generation budget improves hypervolume by 0.210–1.200%, indicating remaining finite-budget search dependence. Main-effect and total-order estimates identify a leading station group near 140–170 mm, with uncertainty in detailed ordering. The results support conditional geometric screening. Assembly-specific drop tests and manufacturing-capability measurements are required before production tolerances or qualified landing performance can be established.

Applied SciencesVol. 16(21)
Chinese Academy of Sciences (CN), Technical Institute of Physics and Chemistry (CN), China Ship Scientific Research Center (CN)
Openalex Percentile: Top 25%
Hydraulic and Pneumatic Systems
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