润滑
往复运动
泄漏(经济)
机械工程
材料科学
执行机构
表面光洁度
天然橡胶
表面粗糙度
液压油
流体轴承
工程类
起落架
刚度
模数
结构工程
印章(徽章)
摩擦学
水力机械
液压马达
工作(物理)
衬套
液压缸
汽车工程
摩擦损失
压缩(物理)
润滑理论
作者
Senlei Wu,Chenhao Guo,Hao Liu,Chao Peng,Haoyi Jiang,Bo Yang,XP Ouyang
标识
DOI:10.1108/ilt-05-2025-0233
摘要
Purpose This study aims to address critical leakage and wear challenges of high-pressure reciprocating seals in aircraft landing gear actuators. It investigates the macro-micro sealing performance of grooved PLUS seals under extreme conditions (35 MPa) and multi-variable parameters (compression size, temperature, reciprocating speed, roughness), filling the research gap in PLUS seals’ high-pressure multi-scenario characteristics. Design/methodology/approach A thermo-fluid-structure coupled model based on mixed lubrication theory was developed. Multivariate operational parameters (compression ratio, −55°C–135 °C temperature, 0.1–0.5 m/s speed, 0.4–6.3 µm roughness) and geometric features (oil-trapping grooves) were systematically analyzed to evaluate micro-contact pressure, oil film thickness, friction and leakage. Findings Increasing compression ratio reduces leakage but elevates friction; temperature impacts rubber modulus non-linearly, altering wear and leakage; higher speed increases dynamic pressure-induced leakage/friction; roughness enhances oil film thickness but worsens both friction and leakage. Oil-trapping grooves balance sealing-lubrication-pressure resistance via localized lubrication and micro-pressure regulation. Originality/value To the best of the authors’ knowledge, this is the first study to systematically characterize grooved PLUS seals under 35 MPa high pressure, revealing multi-parameter influence laws. The hybrid lubrication model and structural design insights overcome the leakage-friction control bottleneck in high-pressure applications, providing a novel theoretical foundation for elasto-hydrodynamic lubrication and critical guidance for aircraft hydraulic seal optimization. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2025-0233/
科研通智能强力驱动
Strongly Powered by AbleSci AI