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RISS 인기검색어
- 검색키워드
- 저자 : Lu Zehua (검색결과 3 건)
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Lu Zehua,Liu Chang,Liao Changjun,Zhu Jiazan,Liu Huaiju,CHENYIMING 한국CDE학회 2024 Journal of computational design and engineering Vol.11 No.1
The advancement in materials and lubrication has significantly improved the load-carrying capability of polymer gears, making them ideal for replacing metallic gears in power transmission. However, this conversion is not as simple as substituting steel with polymer; it requires a thorough redesign of the structural parameters specific to polymer gears. To enable the metallic-to-polymer conversion of gear in power transmission, a model for optimizing polymer gear systems was developed. An investigation of the accessory transmission system of a low-thrust turbofan aeroengine was conducted. A comprehensive performance index for the accessory transmission was developed using combined weighting coefficients to achieve the optimization goals including total mass, transmission efficiency, maximum transmission error, and so on. The polymer gear system developed using the proposed optimization model demonstrated a 70.4% reduction in total mass compared with the metallic gear system, as well as a transmission error decrease of over 29% when compared with polymer gear systems with standard tooth profiles. The contribution analysis results demonstrated that optimizing the tooth width, pressure angle, and addendum height of polymer gears can significantly enhance the load-carrying capacity of the polymer gear system while maximizing tooth profile flexibility.
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A comparative study of fatigue behavior between S-shaped and involute POM gears
Wu Ruo,Wei Peitang,Lu Zehua,Liu Huaiju,Zorko Damijan,Xie Huaijie 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.6
Applications of polymer gears have been gradually expanding from motion transmission to power transmission fields. Design of new gear teeth profiles plays a crucial role in meeting the requirement of replacing metallic gears with polymer ones. This work develops a computational framework consisting of tooth profile generation and fatigue life prediction of S-shaped and involute POM gears. The contact and bending fatigue performances of S-shaped and involute POM gears under oil lubrication are comparatively studied. It is found that the S-shaped profile reduces the tooth root stress by 25% and significantly improves the bending fatigue life by 10 times compared with the involute profile, especially under medium or high loading levels. Furthermore, the S-shaped gear with a single circular-filleted root curve benefits a 20% reduction of tooth root stress and a 30% increase in bending fatigue life compared to a double circular-filleted root curve S-shaped gear.
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Polymer gear contact fatigue reliability evaluation with small data set based on machine learning
Liu Genshen,Wei Peitang,Chen Kerui,Liu Huaiju,Lu Zehua 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.2
Polymer gears have shown potential in power transmission by their comprehensive mechanical properties. One of the significant concerns with expanding their applications is the deficiency of reliability evaluation methods considering small data set circumstances. This work conducts a fair number of polyoxymethylene (POM) gear durability tests with adjustable loading and lubrication conditions via a gear durability test rig. A novel machine learning-based reliability model is developed to evaluate contact fatigue reliability for the POM gears with such a data set. Results reveal that the model predicts reasonable POM gear contact fatigue curves of reliability–stress–number of cycles with 2.0% relative error and 18.8% reduction of test specimens compared with the large sample data case. In contrast to grease lubrication, the oil-lubricated POM gear contact fatigue strength improves by 10.4% from 52.1 to 57.6 MPa.
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