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2篇 您的检索式:作者名="Manru He"
    题名 作者 年代 出处 被引量
1Restoration processes of pollution zones in Hanjiang River显示文摘RestorationprocessesofpollutionzonesinHanjiangRiver¥ShenYunfen;TanYuyun;FengWeisong;GuManru(InstituteofHydrobiology,ChineseAc...Shen Yunfen Tan Yuyun Feng Weisong Gu Manru (Institute of Hydrobiology, Chinese Academy of Sciences, Wuchang 430072, China) He Chengying (Environmental Protection Station of Xiantao City ,China) Li Aiguo (Environmental Protection Station of Xiangfan Ci 1996Journal of Environmental Sciences1996,8,2:2
2Caution to Apply Magnetic Barkhausen Noise Method to Nondestructive Evaluation of Plastic Deformation in Some Ferromagnetic Materials显示文摘Magnetic Barkhausen Noise(MBN) method is known as an effective nondestructive evaluation(NDE) method for evaluation of residual stress in ferromagnetic materials. Some studies on the feasibility of the MBN method for NDE of residual strains were also conducted and found applicable. However, these studies are mainly focused on the state of residual strains which were introduced through a one-cycle-loading process. In practice, however, structures may suffer from an unpredictable and complicated loading history, i.e., the final state of plastic strain may be induced by several times of large loads. Whether the loading history has influences on MBN signals or not is of great importance for the practical application of the MBN method. In this paper, several ferromagnetic specimens with the same final state of residual strain but of different loading history were fabricated and inspected by using a MBN testing system. The experimental results reveal that the loading history has a significant influence on the detected MBN signals especially for a residual strain in range less than 1%, which doubts the feasibility to apply the MBN method simply in the practical environment. In addition, micro-observations on the magnetic domain structures of the plastic damaged specimens were also carried out to clarify the influence mechanism of loading history on the MBN signals.Manru He Takanori Matsumoto Tetsuya Uchimoto Toshiyuki Takagi Hongen Chen Shejuan Xie Zhenmao Chen 2019Chinese Journal of Mechanical Engineering2019,32,6:1
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