基于动力学的风力机齿轮传动系统可靠性研究

路志成, 周建星, 崔权维, 温建民, 费翔

太阳能学报 ›› 2023, Vol. 44 ›› Issue (9) : 397-404.

PDF(2105 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(2105 KB)
太阳能学报 ›› 2023, Vol. 44 ›› Issue (9) : 397-404. DOI: 10.19912/j.0254-0096.tynxb.2022-0767

基于动力学的风力机齿轮传动系统可靠性研究

  • 路志成1, 周建星1, 崔权维1, 温建民1,2, 费翔1
作者信息 +

RESEARCH ON RELIABILITY OF GEAR TRANSMISSION SYSTEM OF WIND TURBINE BASED ON DYNAMICS

  • Lu Zhicheng1, Zhou Jianxing1, Cui Quanwei1, Wen Jianmin1,2, Fei Xiang1
Author information +
文章历史 +

摘要

为正确评估齿轮传动系统齿面接触疲劳寿命,以2 MW风力发电机齿轮传动系统为研究对象,引入风场风速变化规律并选用weibull分布建立随机风速模型。考虑外部风载以及由齿轮、轴承刚度等引起的内部载荷激励,建立行星齿轮传动系统平移-扭转动力学模型,求得传动系统各齿轮副动态啮合力并计算相应的应力历程。针对齿轮传动强度及受载随机性的特点,以轮齿的强度退化表征疲劳效应,基于非线性疲劳损伤累积理论建立剩余强度模型,在传统应力-强度干涉理论的基础上,得到随机风载作用下齿轮传动系统动态可靠度功能函数,通过摄动法对零部件的动态可靠度变化曲线进行描述。结果表明:在强度退化和随机载荷联合作用下,风力机系统各齿轮疲劳可靠度随服役时间出现逐渐下降的趋势,且服役前期可靠度下降趋势较快,中后期下降趋势逐渐减缓,强度退化形式及载荷大小影响着可靠度的变化趋势。该模型反映了齿轮传动系统可靠度随服役时间的变化规律,为产品的可靠性设计及疲劳寿命预测提供了参考。

Abstract

To evaluate the contact fatigue life of the gear transmission system, the gear transmission system of the 2 MW wind turbine was studied. The random wind speed model was established by introducing the wind speed variation law and using the Weibull distribution. Considering the external wind load and the internal load excitation caused by gear and bearing stiffness, the translation-torsional dynamic model of the planetary gear transmission system was established. The dynamic meshing force and the corresponding stress of each gear pair of the transmission system was calculated. According to the characteristics of gear transmission strength and randomness of load, the fatigue effect was characterized by strength degradation of gear teeth, and the residual strength model was established based on nonlinear fatigue damage accumulation theory. On the basis of traditional stress-strength interference theory, the dynamic reliability function of gear transmission system under random wind load was obtained. The dynamic reliability curve of parts was described by perturbation method. The results show that: under the combined action of strength degradation and random load, the fatigue reliability of each gear of wind turbine system gradually decreases with the service time, and the reliability decreases rapidly in the early stage of service, and gradually slows down in the middle and later stages of service. The strength degradation form and load size affect the trend of the reliability. The model reflects the variation of the reliability of the gear transmission system with the service time, and provides a reference for the reliability design and fatigue life prediction of products.

关键词

风力发电机 / 疲劳损伤 / 动态可靠性 / 疲劳寿命 / 齿轮传动

Key words

wind turbines / fatigue damage / dynamic reliability / fatigue life / gear drive

引用本文

导出引用
路志成, 周建星, 崔权维, 温建民, 费翔. 基于动力学的风力机齿轮传动系统可靠性研究[J]. 太阳能学报. 2023, 44(9): 397-404 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0767
Lu Zhicheng, Zhou Jianxing, Cui Quanwei, Wen Jianmin, Fei Xiang. RESEARCH ON RELIABILITY OF GEAR TRANSMISSION SYSTEM OF WIND TURBINE BASED ON DYNAMICS[J]. Acta Energiae Solaris Sinica. 2023, 44(9): 397-404 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0767
中图分类号: TH132   

参考文献

[1] 李垚, 朱才朝, 陶友传, 等. 风电机组可靠性研究现状与发展趋势[J]. 中国机械工程, 2017, 28(9): 1125-1133.
LI Y, ZHU C C, TAO Y C, et al.Research status and development tendency of wind turbine reliability[J]. China mechanical engineering, 2017, 28(9): 1125-1133.
[2] HANSON M T, KEER L M.An analytical life prediction model for the crack propagation occurring in contact fatigue failure[J]. Tribology transactions, 2008, 35(3): 451-461.
[3] 黄洪钟, 朱顺鹏, 汪忠来, 等. 基于剩余强度衰减退化的非线性累积损伤准则及其可靠性定寿[J]. 应用基础与工程科学学报, 2011, 19(2): 323-334.
HUANG H Z, ZHU S P, WANG Z L, et al.Nonlinear fatigue damage cumulative rule based on strength degradation and its application to fatigue life reliability analysis[J]. Journal of basic science and engineering, 2011, 19(2): 323-334.
[4] 安宗文, 高建雄, 刘波. 基于嵌套混合Copula函数的机械系统失效相关性建模[C]//2014年全国机械行业可靠性技术学术交流会暨可靠性工程分会第五届委员会成立大会论文集, 成都, 中国, 2014: 22-27.
AN Z W, GAO J X, LIU B.Failure correlation modeling of mechanical systems based on nested hybrid Copula function[C]//Proceedings of the 2014 National Machinery Industry Reliability Technology Academic Exchange Conference and the 5th Establishment Conference of Reliability Engineering Sub-Committee. Chengdu, China, 2014: 22-27.
[5] 秦大同, 李超, 唐飞熊. 变风载下变速风力发电机传动系统动力学特性研究[J]. 太阳能学报, 2013, 34(2): 186-195.
QIN D T, LI C, TANG F X.Study on dynamic characteristics of gear transmission system of variable speed wind generator under varying wind load[J]. Acta energiae solaris sinica, 2013, 34(2): 186-195.
[6] WEI J, PAN Z, LIN X, et al.Copula-function-based analysis model and dynamic reliability of a gear transmission system considering failure correlations[J]. Fatigue & fracture of engineering materials & structures, 2019, 42(1): 114-128.
[7] 张秀华, 刘怀举, 朱才朝, 等. 基于数据驱动的零部件疲劳寿命预测研究现状与发展趋势[J]. 机械传动, 2021, 45(10): 1-14.
ZHANG X H, LIU H J, ZHU C C, et al.Current situation and developing trend of fatigue life prediction of components based on data-driven[J]. Mechanical transmission, 2021, 45(10): 1-14.
[8] LI H X, CHO H, SUGIYAMA H, et al.Reliability-based design optimization of wind turbine drivetrain with integrated multibody gear dynamics simulation considering wind load uncertainty[J]. Structural and multidisciplinary optimization, 2017, 56(1): 183-201.
[9] LIU G S, LIU H J, ZHU C C, et al.Design optimization of a wind turbine gear transmission based on fatigue reliability sensitivity[J]. Frontiers of mechanical engineering, 2021, 16(1): 61-79.
[10] 周建星, 孙文磊, 曹莉, 等. 行星齿轮传动系统碰撞振动特性研究[J]. 西安交通大学学报, 2016, 50(3): 16-21.
ZHOU J X, SUN W L, CAO L, et al.Vibro-impact characteristics of planetary gear transmission[J]. Journal of Xi’an Jiaotong University, 2016, 50(3): 16-21.
[11] 许华超, 孙文磊, 周建星, 等. 风电机组行星传动系统固有特性灵敏度研究[J]. 太阳能学报, 2016, 37(1): 201-207.
XU H C, SUN W L, ZHOU J X, et al.Natural characteristics sensitivity of planetary transmission system for wind turbine[J]. Acta energiae solaris sinica, 2016, 37(1): 201-207.
[12] 汪东恒. 2.5 MW风电齿轮箱轴承疲劳寿命研究[D]. 杭州: 浙江理工大学, 2017.
WANG D H.Research on fatigue life of 2.5 MW wind turbine gearbox bearing[D]. Hangzhou: Zhejiang Sci-Tech University, 2017.
[13] 郭腾飞. 2.5 MW风机增速箱齿轮疲劳可靠性评估[D]. 杭州: 浙江理工大学, 2017.
GUO T F.Gear fatigue reliability evaluation of 2.5 MW fan growth box[D]. Hangzhou: Zhejiang Sci-Tech University, 2017.
[14] 林小燕, 魏静, 赖育彬, 等. 齿轮的剩余强度模型及其动态可靠度[J]. 哈尔滨工程大学学报, 2017, 38(9): 1476-1483.
LIN X Y, WEI J, LAI Y B, et al.Residual strength model and dynamic reliability of gear[J]. Journal of Harbin Engineering University, 2017,38(9): 1476-1483.
[15] 吴佳梁, 王广良, 魏振山, 等. 风力机可靠性工程[M]. 北京: 化学工业出版社, 2010: 12.
WU J L, WANG G L, WEI Z S, et al.Wind turbine reliability engineering[M]. Beijing: Chemical Industry Press, 2010: 12.
[16] 高建雄. 考虑强度退化及失效相关性的风电齿轮箱可靠性分析[D]. 兰州: 兰州理工大学, 2014.
GAO J X.Reliability analysis of wind turbine gearbox considering strength degradation and failure correlation [D]. Lanzhou: Lanzhou University of Technology, 2014.
[17] 李超. 变风载下变速风力发电机传动系统的可靠性评估与动力学特性研究[D]. 重庆: 重庆大学, 2011.
LI C.Reliability evaluation and dynamic characteristics of transmission system of variable speed wind generator under variable wind load[D]. Chongqing: Chongqing University, 2011.
[18] SCHAFF J R, DAVIDSON B D.Life prediction methodology for composite structures: part I-constant amplitude and two-stress level fatigue[J]. Journal of composite materials, 1997, 31(2): 128-157.
[19] 方义庆, 胡明敏, 罗艳利. 基于全域损伤测试建立的连续疲劳损伤模型[J]. 机械强度, 2006, 28(4): 582-596.
FANG Y Q, HU M M, LUO Y L.Continuous fatigue damage model based on global damage testing[J]. Journal of mechanical strength, 2006, 28(4): 582-596.
[20] 薛志宏, 陈营利, 胡朝阳, 等. 17CrNiMo6渗碳淬火齿轮接触疲劳特性试验研究[J]. 舰船科学技术, 2010, 32(8): 89-91.
XUE Z H, CHEN Y L, HU Z Y, et al.Research on contact fatigue characteristics of 17CrNiMo6 carburized-quenched gears[J]. Ship science and technology, 2010, 32(8): 89-91.
[21] 朱森第, 鲁惠民. 机械工程材料性能数据手册[M]. 北京: 机械工业出版社, 1995.
ZHU S D, LU H M.Mechanical engineering material performance data manual[M]. Beijing: China Machine Press, 1995.

基金

自治区自然科学基金(2021D01C050); 新疆维吾尔自治区重点研发计划(2021B01003-1); 国家自然科学基金(51665054)

PDF(2105 KB)

Accesses

Citation

Detail

段落导航
相关文章

/