Abstract: The whole crack propagation process of sucker rod specimen was monitored by magnetic memory testing instrument on the basis of tension-tension fatigue experiments, and the synthetic gradient limit coefficients of magnetic signal characterizing stress concentration degree were extracted simultaneously. The fracture mechanics parameters of crack tip were computed by finite element method, and the stress intensity factors corresponding to different crack lengths were obtained. The results showed that the characteristic parameters of magnetic memory signal based on experimental data are in accordance with the stress intensity factors calculated by finite element simulation, which can reflect the fatigue crack propagation process and cumulative damage effectively, providing theoretical reference for blank selection before remanufacturing.
1 Xu B S, Zhu S. Advanced remanufacturing technologies based on nano-surface engineering[C]∥Proc. 3rd Int. Conf. on Advances in Production Eng. Guangzhou, 1999: 35. 2 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(in Chinese). 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. 3 Dubov A A. A study of metal properties using the method of magnetic memory[J]. Metal Sci Heat Treat, 1997,39(9-10):401. 4 Huang H H, Liu R J, Zhang X, et al. Magnetic memory testing towards fatigue crack propagation of 510L steel[J]. J Mechan Eng, 2013,49(1):135(in Chinese). 黄海鸿, 刘儒军, 张曦, 等. 面向再制造的510L钢疲劳裂纹扩展磁记忆检测[J]. 机械工程学报, 2013,49(1):135. 5 Huang H H, Jiang S L, Yan W, et al. Characterization of spontaneous magnetic signals induced by cyclic bensile stress in crack propagation stage[J]. J Magn Magn Mater, 2014,365:70. 6 Huang H H, Jiang S L, Liu R J, et al. Investigation of magnetic memory signals induced by dynamic bending load in fatigue crack propagation process of structural steel[J]. J Nondestructive Evaluation, 2014,33(3):407. 7 Dong L H, Xu B S, Xue N, et al. Development of remaining life prediction of crankshaft remanufacturing core[J]. Adv Manufacturing, 2013,1(1):91. 8 Dong L H, Xu B S, Dong S Y, et al. Monitoring fatigue crack propagation of ferromagnetic materials with spontaneous abnormal magnetic signals[J]. Int J Fatigue, 2008,30(9):1599. 9 Jin B, Di X J, Zhang J J, et al. Metal magnetic memory signal feature of fatigue cracking propagation[J]. J Mater Eng, 2014(11):102(in Chinese). 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. 10Leng J C, Zhang H, Zhou G Q, et al. Experimental research on predicting fatigue life of remanufacturing sucker rod by magnetic memory testing[J]. J Mater Eng, 2016,44(9):103(in Chinese). 冷建成, 张辉, 周国强, 等. 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. 11郦正能, 张纪奎. 工程断裂力学[M]. 北京: 北京航空航天大学出版社, 2012. 12Leng J C, Liu Y, Zhou G Q, et al. Metal magnetic memory signal response to plastic deformation of low carbon steel[J]. NDT E Int, 2013,55:42.
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2017, Vol. 31 
