当前位置: X-MOL 学术Ind. Lubr. Tribol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Effect of micro-textures on lubrication characteristics of spur gears under 3D line-contact EHL model
Industrial Lubrication and Tribology ( IF 1.5 ) Pub Date : 2021-07-27 , DOI: 10.1108/ilt-11-2020-0423
Jiang Zhao 1 , Zhengminqing Li 1 , Hong Zhang 1 , Rupeng Zhu 1
Affiliation  

Purpose

The purpose of this paper is to use a combination of numerical simulation and experiment to evaluate the performance of laser surface texturing (LST) in the field of gear lubrication, and to more accurately predict the lubrication characteristics of different surfaces.

Design/methodology/approach

The method used in this paper is developed on the basis of the deterministic solution of the three-dimensional (3D) mixed elasto-hydrodynamic lubrication (EHL) model and the model parameters are corrected by friction test. The film pressure, film thickness and friction coefficient of different micro-textured tooth surfaces are predicted on the basis of accurate 3D mixed EHL models.

Findings

The results demonstrate that the micro-texture structure of the tooth surface can increase the local film thickness and enhance the lubricating performance of the tooth surface without drastically reducing the contact fatigue life. The stress distribution and friction characteristics of the tooth surface can be optimized by adjusting the micro-texture arrangement and the size of the micro-textures.

Originality/value

A new evaluation method using a 3D hybrid EHL model and friction test to predict the lubrication characteristics of LST is proposed, which can effectively improve the processing economy and save time.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2020-0423



中文翻译:

3D线接触EHL模型下微观纹理对直齿轮润滑特性的影响

目的

本文的目的是通过数值模拟和实验相结合的方式,评估激光表面纹理化(LST)在齿轮润滑领域的性能,更准确地预测不同表面的润滑特性。

设计/方法/方法

本文使用的方法是在三维(3D)混合弹-流体动力润滑(EHL)模型确定性解的基础上开发的,模型参数通过摩擦试验进行修正。基于精确的 3D 混合 EHL 模型预测不同微纹理齿面的油膜压力、油膜厚度和摩擦系数。

发现

结果表明,齿面微织构结构可以增加局部油膜厚度,增强齿面润滑性能,而不会显着降低接触疲劳寿命。可以通过调整微纹理排列和微纹理大小来优化齿面的应力分布和摩擦特性。

原创性/价值

提出了一种使用3D混合EHL模型和摩擦试验来预测LST润滑特性的新评估方法,可以有效提高加工经济性并节省时间。

同行评审

本文的同行评审历史可从以下网址获得:https://publons.com/publon/10.1108/ILT-11-2020-0423

更新日期:2021-07-29
down
wechat
bug