风力发电机主轴轴承零游隙位置概率分析

doi:10.12068/j.issn.1005-3026.2023.10.010

东北大学学报（自然科学版） ›› 2023, Vol. 44 ›› Issue (10): 1440-1447.DOI: 10.12068/j.issn.1005-3026.2023.10.010

风力发电机主轴轴承零游隙位置概率分析

黄贤振^1,2，张鹏¹，李红雷¹，吕中¹

(1. 东北大学机械工程与自动化学院，辽宁沈阳110819；2. 东北大学航空动力装备振动及控制教育部重点实验室，辽宁沈阳110819)

发布日期:2023-10-27
通讯作者: 黄贤振
作者简介:黄贤振(1982-)，男，山东定陶人，东北大学教授，博士生导师.
基金资助:
国家自然科学基金资助项目(51975110)； “兴辽英才计划”项目(XLYC1907171)；中央高校基本科研业务费专项资金资助项目(N2003005，N21003005).

Probability Analysis of Zero Clearance Position of Wind Turbine Spindle Bearings

HUANG Xian-zhen^1,2， ZHANG Peng¹， LI Hong-lei¹， LYU Zhong¹

1. School of Mechanical Engineering & Automation， Northeastern University， Shenyang 110819， China; 2. Key Laboratory of Vibration and Control of Aero-Propulsion Systems， Ministry of Education， Northeastern University， Shenyang 110819， China.

Published:2023-10-27
Contact: HUANG Xian-zhen
About author:-
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摘要/Abstract

摘要： 预紧量对轴承的运行状态和使用寿命有着重要的影响.为了保证主轴轴承的合理装配，需要确定轴承的零游隙位置.首先，采用厚壁圆筒理论计算了轴承游隙的变化量，从而确定轴承的零游隙位置.而后，建立了轴承零游隙的有限元位移模型，提出了一种更加准确的零游隙位置计算方法.考虑到随机因素的影响，提出了Kriging代理模型的方法，分析了风电主轴轴承零游隙下内外圈位置的概率分布特性.最后，数值算例表明，Kriging模型预测的最大误差在0.1%以内，表明所提出的方法具有较高的精度和适用性.

关键词: 风力发电机；主轴轴承；概率分析；有限元模型；Kriging代理模型

Abstract: The preload greatly affects the operating state and service life of bearings. To ensure the reasonable assembly of the spindle bearings， the position of zero clearance for the bearings needs to be determined. Firstly， the variation of clearance is calculated by using the thick-walled cylinder theory to determine the zero clearance position of the bearings. Then， the finite element displacement model of bearing zero clearance is established， and a more accurate calculation method of zero clearance position is proposed. Considering the influence of random factors， the Kriging surrogate model is proposed to analyze the probability distribution characteristics of the inner and outer ring positions under the zero clearance of wind turbine spindle bearings. Finally， numerical examples show that the maximum error predicted by the Kriging model is within 0.1%， indicating that the proposed method has higher accuracy and applicability.

Key words: wind turbine; spindle bearing; probability analysis; finite element model; Kriging surrogate model

中图分类号:

TH133.3

黄贤振，张鹏，李红雷，吕中. 风力发电机主轴轴承零游隙位置概率分析[J]. 东北大学学报（自然科学版）, 2023, 44(10): 1440-1447.

HUANG Xian-zhen， ZHANG Peng， LI Hong-lei， LYU Zhong. Probability Analysis of Zero Clearance Position of Wind Turbine Spindle Bearings[J]. Journal of Northeastern University(Natural Science), 2023, 44(10): 1440-1447.

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风力发电机主轴轴承零游隙位置概率分析

Probability Analysis of Zero Clearance Position of Wind Turbine Spindle Bearings

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