A study on the influences of journal axial vibration on ship shaft stern bearing dynamic characteristics

方位(导航) 振动 结构工程 转速 刚度 计算流体力学 润滑 轴流压缩机 传动轴 旋转(数学) 流离失所(心理学) 工程类 机械 机械工程 物理 计算机科学 声学 心理学 天文 人工智能 气体压缩机 心理治疗师
作者
Jun Zhu,Guangcheng Wei,Chen Zong,DaKuan Xin
出处
期刊:Industrial Lubrication and Tribology [Emerald Publishing Limited]
卷期号:75 (5): 497-509 被引量:1
标识
DOI:10.1108/ilt-11-2022-0337
摘要

Purpose This paper aim to take the ship shaft stern bearing as the research object, and studies the influence of journal axial vibration on bearing dynamic characteristics under different misaligned angles and rotation speeds. Design/methodology/approach Computational fluid dynamics (CFD) and harmonic excitation method were used to build bearing unstable lubrication model, and the dynamic mesh technology was used in calculation. Findings The results indicate that journal axial vibration has a significant effect on bearing dynamic characteristics, like maximum oil film pressure, bearing stiffness and damping coefficients, and the effect is positively correlated with journal misaligned angle. The effect of shaft rotation speed and journal axial vibration on bearing dynamics characteristics are independent; they have no coupling. Bearing axial stiffness is mainly affected by the journal axial displacement, bearing axial damping is mainly affected by journal axial velocity and they are positively correlated with the misaligned angle. The influence of rotational speed on bearing axial stiffness and axial damping is not obvious. Originality/value This paper establishes the bearing dynamic model by CFD and harmonic excitation method with consideration of cavitation effect and analyzing the influence of journal axial vibration on the dynamic characteristics. The results are benefit to the design of ship propulsion shaft and the selection of stern bearing. Also, they are of great significance to improve the operation stability of the shaft bearing system and the vitality of the ship. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2022-0337/
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
2秒前
bkagyin应助yecheng采纳,获得10
2秒前
Hayley完成签到,获得积分10
3秒前
桐桐应助龙卡烧烤店采纳,获得10
5秒前
6秒前
Ashley发布了新的文献求助10
6秒前
7秒前
柠檬发布了新的文献求助10
7秒前
冰魂应助姜宇航采纳,获得20
8秒前
Ancestor完成签到,获得积分20
10秒前
Hayley发布了新的文献求助10
12秒前
浅色西完成签到,获得积分10
13秒前
小巧的惋清完成签到 ,获得积分10
15秒前
冰魂应助拾姑娘的小稻穗采纳,获得20
15秒前
领导范儿应助Hayley采纳,获得30
19秒前
19秒前
23秒前
oldblack完成签到,获得积分10
23秒前
一切顺利完成签到,获得积分10
24秒前
XinyuLu完成签到,获得积分10
25秒前
普外科老白完成签到,获得积分10
25秒前
beiest完成签到,获得积分10
26秒前
27秒前
SciGPT应助XU采纳,获得10
27秒前
我是老大应助锦云采纳,获得10
27秒前
he大海贼发布了新的文献求助10
28秒前
29秒前
小木虫应助nana2hao采纳,获得20
30秒前
小菜鸡完成签到,获得积分10
30秒前
邓豪完成签到 ,获得积分10
32秒前
33秒前
苏州小北发布了新的文献求助20
33秒前
科研通AI5应助霸气的金鱼采纳,获得10
34秒前
hhh334发布了新的文献求助10
34秒前
35秒前
38秒前
huche发布了新的文献求助30
39秒前
锦云发布了新的文献求助10
41秒前
大个应助冷傲以珊采纳,获得10
41秒前
安详夏彤发布了新的文献求助10
42秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development 200
Gothic forms of feminine fictions 200
Stock price prediction in Chinese stock markets based on CNN-GRU-attention model 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3836309
求助须知:如何正确求助?哪些是违规求助? 3378623
关于积分的说明 10505359
捐赠科研通 3098262
什么是DOI,文献DOI怎么找? 1706407
邀请新用户注册赠送积分活动 821000
科研通“疑难数据库(出版商)”最低求助积分说明 772382