Please wait a minute...
 
材料工程  2016, Vol. 44 Issue (9): 103-108    DOI: 10.11868/j.issn.1001-4381.2016.09.016
  测试与表征 本期目录 | 过刊浏览 | 高级检索 |
再制造抽油杆疲劳寿命评估的磁记忆检测实验研究
冷建成, 张辉, 周国强, 吴泽民
东北石油大学 机械科学与工程学院, 黑龙江 大庆 163318
Experimental Research on Predicting Fatigue Life of Remanufacturing Sucker Rod by Magnetic Memory Testing
LENG Jian-cheng, ZHANG Hui, ZHOU Guo-qiang, WU Ze-min
School of Mechanical Science and Engineering, Northeast Petroleum University, Daqing 163318, Heilongjiang, China
全文: PDF(1364 KB)   HTML()
输出: BibTeX | EndNote (RIS)      
摘要 废旧零部件寿命评估一直是再制造工程的技术难点之一。通过对预制沟槽抽油杆试件的拉-拉疲劳实验,利用磁记忆检测仪在线测量试件表面在不同循环次数下的磁记忆信号,研究抽油杆疲劳损伤演化的切向幅值和法向峰峰值变化规律。通过引入李萨如图,表明随着循环的进行所围成的面积由变大到最大后又逐步减小,而非闭合图形面积达到最大时正好对应着宏观裂纹即将发生失稳扩展的临界状态。在此基础上,提出切向法向合成磁场梯度最大值作为预测疲劳寿命的指标,结果表明该特征参数与疲劳循环发展的不同阶段相对应,基于高斯函数拟合建立了其与归一化寿命之间的定量关系模型,可用于抽油杆的疲劳寿命预测。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
冷建成
张辉
周国强
吴泽民
关键词 磁记忆检测特征参数疲劳寿命抽油杆    
Abstract:Fatigue life evaluation of retired parts is always one of the most difficult problems in remanufacturing engineering. Tension-tension fatigue experiments of precut groove sucker rod specimens were conducted, and on-line magnetic memory signals on the surfaces of specimens under different cyclic numbers were measured by magnetic memory testing instrument, and the variation regularities of the tangential amplitude and normal peak-peak value with different fatigue damage were exploited simultaneously. The Lissajous figure introduced shows that the surrounded area becomes larger, the largest and smaller finally, whilst the maximum closure area corresponds to the critical state of macroscopic crack about to unstable propagation. Furthermore, the maximum value of synthetic magnetic field gradient is proposed as an index to predict fatigue life. The results demonstrate that the characteristic parameter can reflect different development stages of fatigue cycles, and the quantitative relationship between the characteristic parameter and the normalized life is established by virtue of Gauss function, which can be used to predict the fatigue life of sucker rods.
Key wordsmagnetic memory testing    characteristic parameter    fatigue life    sucker rod
收稿日期: 2015-11-01      出版日期: 2016-09-27
中图分类号:  TE951  
  TG115.28  
通讯作者: 冷建成(1977-),男,教授,从事无损检测、结构健康监测及损伤诊断等方面研究工作,联系地址:黑龙江省大庆市高新区发展路199号东北石油大学机械科学与工程学院(163318),E-mail:lbyljc@163.com     E-mail: lbyljc@163.com
引用本文:   
冷建成, 张辉, 周国强, 吴泽民. 再制造抽油杆疲劳寿命评估的磁记忆检测实验研究[J]. 材料工程, 2016, 44(9): 103-108.
LENG Jian-cheng, ZHANG Hui, ZHOU Guo-qiang, WU Ze-min. Experimental Research on Predicting Fatigue Life of Remanufacturing Sucker Rod by Magnetic Memory Testing. Journal of Materials Engineering, 2016, 44(9): 103-108.
链接本文:  
http://jme.biam.ac.cn/CN/10.11868/j.issn.1001-4381.2016.09.016      或      http://jme.biam.ac.cn/CN/Y2016/V44/I9/103
[1] 徐滨士,张伟,马世宁,等.面向21世纪的绿色再制造[J].中国表面工程,1999,12(4):1-4.XU B S,ZHANG W,MA S N,et al.Green remanufacturing towards the 21st century[J].China Surface Engineering,1999,12(4):1-4.
[2] SMUROV I.Laser cladding and laser assisted direct manufacturing[J].Surface&Coatings Technology,2008,202(18):4496-4502.
[3] 姜怀芳,杨芸,冯搏,等.再制造抽油杆高精度漏磁无损检测系统[J].石油机械,2014,42(1):79-83.JIANG H F,YANG Y,FENG B,et al.High-precision MFL nondestructive detection system for remanufactured sucker rod[J].China Petroleum Machinery,2014,42(1):79-83.
[4] 何存富,李颖,吴斌,等.空心抽油杆的超声导波检测[J].无损检测,2005,27(10):538-541.HE C F,LI Y,WU B,et al.Ultrasonic inspection of hollow sucker rod by guided waves[J].Nondestructive Testing,2005,27(10):538-541.
[5] 谭英杰,韩国有,董喜贵.抽油杆电涡流自动检测台设计[J].油气田地面工程,2008,27(12):34-36.TAN Y J,HAN G Y,DONG X G.Design of eddy current automatic test bench for sucker rod[J].Oil and Gas Field Surface Engineering,2008,27(12):34-36.
[6] DUBOV A A.A study of metal properties using the method of magnetic memory[J].Metal Science and Heat Treatment,1997,39(9):401-405.
[7] 董世运,徐滨士,董丽虹,等.金属磁记忆检测技术用于再制造毛坯寿命预测的试验研究[J].中国表面工程,2006,19(5):71-75.DONG S Y,XU B S,DONG L H,et al.Experiment research on metal magnetic memory methods for life prediction of remanufacturing old parts[J].China Surface Engineering,2006,19(5):71-75.
[8] DONG L H,XU B S,XUE N,et al.Development of remaining life prediction of crankshaft remanufacturing core[J].Advances in Manufacturing,2013,1(1):91-96.
[9] 徐成.基于磁记忆技术的再造抽油杆检测与评估[D].大庆:东北石油大学,2012.XU C.Detection and evaluation of remanufactured pumping rod based on magnetic memory monitoring technique[D].Daqing:Northeast Petroleum University,2012.
[10] LENG J C,XU M Q,ZHOU G Q,et al.Effect of initial remanent states on the variation of magnetic memory signals[J].NDT&E International,2012,52:23-27.
[11] 任吉林,孙金立,周培,等.磁记忆二维检测的研究与工程应用[J].机械工程学报,2013,49(22):9-15.REN J L,SUN J L,ZHOU P,et al.Engineering application prospect and research on magnetic memory in two-dimensional testing[J].Journal of Mechanical Engineering,2013,49(22):9-15.
[12] 周培,任吉林,孙金立,等.李萨如图在磁记忆二维定量检测中的应用[J].航空学报,2013,34(8):1990-1997.ZHOU P,REN J L,SUN J L,et al.Application of Lissajous figure in two-dimensional magnetic memory detection[J].Acta Aeronautica et Astronautica Sinica,2013,34(8):1990-1997.
[13] WANG H P,DONG L H,DONG S Y,et al.Fatigue damage evaluation by metal magnetic memory testing[J].Journal of Central South University,2014,21(1):65-70.
[14] DONG L H,XU B S,DONG S Y,et al.Monitoring fatigue crack propagation of ferromagnetic materials with spontaneous abnormal magnetic signals[J].International Journal of Fatigue,2008,30(9):1599-1605.
[15] 金宝,邸新杰,张建军,等.疲劳裂纹扩展的金属磁记忆信号特征[J].材料工程,2014,(11):102-106.JIN B,DI X J,ZHANG J J,et al.Metal magnetic memory signal feature of fatigue cracking propagation[J].Journal of Materials Engineering,2014,(11):102-106.
[1] 回丽, 刘思奇, 周松, 王磊, 马闯, 赵强. 载荷方向和焊缝余高对氩弧焊缝疲劳性能的影响[J]. 材料工程, 2018, 46(2): 122-127.
[2] 申颜团, 彭金方, 徐志彪, 刘建华, 蔡振兵, 朱旻昊. 18CrNiMo7-6合金钢的弯曲微动疲劳特性[J]. 材料工程, 2017, 45(7): 103-110.
[3] 梁小林, 许希武, 林智育. 复合材料层板低速冲击后疲劳性能实验研究[J]. 材料工程, 2016, 44(12): 100-106.
[4] 童第华, 吴学仁, 刘建中, 胡本润, 陈勃. 基于小裂纹理论的铸造钛合金ZTC4疲劳寿命预测[J]. 材料工程, 2015, 43(6): 60-65.
[5] 周轶群, 佟文伟, 刘芳, 张开阔. 热障涂层对K417G合金高温低周疲劳行为的影响[J]. 材料工程, 2014, 0(1): 19-23.
[6] 李国禄, 张志强, 王海斗, 徐滨士, 朴钟宇. 涂层疲劳损伤声发射特征参数及损伤机理[J]. 材料工程, 2013, 0(6): 45-49,71.
[7] 杨金丽, 雷永平, 林健, 肖慧. 银含量对跌落条件下无铅焊点疲劳寿命和失效模式的影响[J]. 材料工程, 2013, 0(12): 74-79.
[8] 杨仕超, 王安强, 闫五柱, 元辛. 斜搭接连接件疲劳特性分析[J]. 材料工程, 2012, 0(9): 83-87.
[9] 王韶云, 李国禄, 王海斗, 刘金海, 徐滨士, 朴钟宇. 微缺陷对热喷涂涂层接触疲劳性能的影响[J]. 材料工程, 2012, 0(2): 72-76.
[10] 胡燕慧, 钟群鹏, 张峥, 韩邦成. 超声疲劳试验方法对S06钢疲劳性能及裂纹萌生机制的影响[J]. 材料工程, 2011, 0(2): 26-30.
[11] 高宗战, 何新党, 姜志峰, 岳珠峰. 有机玻璃边缘连接结构疲劳寿命可靠性分析[J]. 材料工程, 2010, 0(5): 20-24.
[12] 王慧鹏, 董世运, 董丽虹, 徐滨士. 不同应力集中系数下磁记忆信号影响因素研究[J]. 材料工程, 2010, 0(12): 35-38.
[13] 杜凤山, 王丹超, 闫亮, 戴圣龙, 杨守杰. 2E12铝合金中心孔板材疲劳寿命分析[J]. 材料工程, 2009, 0(7): 58-61,66.
[14] 陈高升, 张连鸿, 栗付平, 覃海鹰, 李满福. 球面层状弹性轴承结构对其力学行为影响的有限元分析[J]. 材料工程, 2009, 0(10): 15-19.
[15] 高宗战, 刘伟, 岳珠峰, 杨治国. 有机玻璃边缘连接元件疲劳性能实验研究[J]. 材料工程, 2007, 0(11): 7-10.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 2015《材料工程》编辑部
地址:北京81信箱44分箱 邮政编码: 100095
电话:010-62496276 E-mail:matereng@biam.ac.cn
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn