Elastohydrodynamic lubrication characteristics of a double enveloping toroidal worm drive

润滑 运动学 机械工程 机械 曲率 环面 蜗杆传动 流体轴承 材料科学 润滑理论 质量(理念) 工程制图 工作(物理) 职位(财务) 多重网格法 齿面 工程类 压力(语言学) 结构工程 接触力学
作者
Ming Ma,Haitao Li,Shengxue Wang,Zhaokuan Xu,Xuyang Yang
出处
期刊:Industrial Lubrication and Tribology [Emerald Publishing Limited]
卷期号:78 (2): 222-230
标识
DOI:10.1108/ilt-07-2025-0329
摘要

Purpose The double enveloping toroidal worm drive (DT worm drive) is a typical representative of spatial mechanical drives with complex tooth surfaces, and the lubrication performance is difficult to know precisely. This study aims to investigate the lubrication performance of the DT worm drive during meshing and provide a theoretical basis for understanding the elastohydrodynamic lubrication (EHL) characteristics. Design/methodology/approach An EHL model of the DT worm drive is developed based on the gear geometry and kinematics, where the contact between the tooth surfaces is simplified as a dual-line contact EHL problem. Numerical calculation of the lubrication model over a complete meshing cycle is conducted using the multigrid method. Findings The results show that the lubrication quality at the entrance and exit of the worm gear tooth surface is better, while the lubrication quality at the middle position between the entrance and exit of the contact area is relatively poor, making it more prone to lubrication failure. The film thickness at each contact point is significantly influenced by the equivalent curvature radius, and this kind of toroidal worm drive exhibits preferable lubrication performance. Originality/value This paper reveals why the DT worm drive exhibits more advantageous EHL performance than other worm drives and how it plays a role. Consequently, this sheds new light on a comprehensive understanding of the interaction between gearing geometry, kinematics and EHL performance. In addition, the EHL characteristic analysis method based on the meshing theory proposed in this paper can be easily extended to other worm drives with complex surface types.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
苏夏完成签到 ,获得积分10
刚刚
勇yi完成签到,获得积分10
刚刚
FashionBoy应助初景采纳,获得10
1秒前
1秒前
一周八颗蛋完成签到,获得积分10
1秒前
脑洞疼应助健康的网络采纳,获得10
1秒前
彭于晏应助Alarack采纳,获得10
2秒前
2秒前
2秒前
3秒前
沉静傥完成签到,获得积分10
3秒前
小璐璐呀发布了新的文献求助10
3秒前
lmei完成签到 ,获得积分10
3秒前
Strive应助yuexiadebing采纳,获得10
3秒前
3秒前
4秒前
4秒前
玖玖完成签到,获得积分10
4秒前
Yang完成签到,获得积分10
4秒前
雨齐完成签到,获得积分10
5秒前
糟糕的便当完成签到,获得积分10
5秒前
沉静冬易完成签到,获得积分10
5秒前
5秒前
长兴照耀十三州府完成签到,获得积分10
5秒前
万芳完成签到,获得积分10
5秒前
Chen完成签到,获得积分10
6秒前
6秒前
kanraku完成签到,获得积分10
6秒前
huangyi完成签到,获得积分10
6秒前
6秒前
原子发布了新的文献求助10
7秒前
小小小珂卿完成签到,获得积分10
7秒前
shore完成签到,获得积分10
7秒前
7秒前
旺旺完成签到,获得积分10
8秒前
清樂发布了新的文献求助30
8秒前
科研通AI6.4应助pliliyi采纳,获得10
8秒前
准静止锋发布了新的文献求助10
8秒前
10秒前
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Les chinois de jakarta: temples et vie collective 500
The fast track to determining transfer functions of linear circuits: The student guide 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7628298
求助须知:如何正确求助?哪些是违规求助? 9202738
关于积分的说明 19732561
捐赠科研通 7198023
什么是DOI,文献DOI怎么找? 3273988
关于科研通互助平台的介绍 2436262
邀请新用户注册赠送积分活动 2270145