Fatigue damage evaluation of used parts based on metal magnetic memory testing
-
摘要: 为了定量评价废旧件的疲劳损伤,以液压缸为研究对象,取其相应部位的材料制作标准拉伸试样,对试样进行疲劳拉伸试验,分析试样表面在不同疲劳损伤阶段的金属磁记忆信号,提出表征损伤程度的特征值与评估模型。结果表明,根据定位指标确定位置之后,再依据损伤程度评估指标,可对损伤程度进行判断。利用金属磁记忆检测技术可为废旧件损伤再制造的定量评价提供依据。Abstract: In order to quantitatively evaluate the fatigue damage of used parts, standard tensile test specimens were made from the same material as sample parts in the research object of hydraulic cylinder. After fatigue tensile tests on the specimens, the surface metal magnetic memory signals were analyzed at different fatigue stages. The eigenvalues and evaluation model are proposed to characterize the degrees of damage. The results show that after determining the stress concentration location according to the positioning index, the degree of damage is estimated based on the evaluation index. Metal magnetic memory detection technology provides a fundamental method for the quantitative evaluation of re-manufacturing ability of fatigue damage of used parts.
-
-
[1] 任吉林, 刘海朝, 宋凯. 金属磁记忆检测技术的兴起与发展[J]. 无损检测, 2016, 38(11):7-15, 20. [2] 王国安, 高岭, 朱坤鹏. 液压油缸再制造技术可行性分析[J]. 广西科技大学学报, 2015, 26(1):33-37. [3] 钱正春, 黄海鸿, 韩刚, 等. 面向再制造的金属磁记忆检测技术研究综述及工程应用案例[J]. 机械工程学报, 2018, 54(17):235-245. [4] 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):135-141. [5] 张路根, 兰清生, 张琦, 等. 基于磁记忆检测方法的45钢应力集中评价[J]. 无损检测, 2018, 40(2):38-41. [6] 黎连修. 关于磁记忆检测机理的分析与讨论[J]. 无损检测, 2016, 38(11):1-6. [7] 刘志峰, 费志洋, 黄海鸿, 等. 激励磁场对力磁耦合作用的强化机制研究[J]. 中国机械工程, 2018, 29(9):1108-1114, 1126. [8] 冷建成, 李政达, 王玉洁, 等. 循环应力对磁记忆效应影响的试验研究[J]. 材料导报, 2019, 33(10):1723-1727,1733. [9] 徐滨士, 董丽虹, 董世运, 等. 加载条件下铁磁材料疲劳裂纹扩展自发射磁信号行为研究[J]. 金属学报, 2011, 47(3):257-262. [10] 董丽虹, 徐滨士, 董世运, 等. 金属磁记忆技术用于再制造毛坯寿命评估初探[J]. 中国表面工程, 2010, 23(2):106-111. [11] YAN T, ZHANG J, FENG G, et al. Early inspection of wet steam generator tubes based on metal magnetic memory method[J]. Procedia Engineering, 2011, 15(1):1140-1144.
计量
- 文章访问数: 1
- HTML全文浏览量: 0
- PDF下载量: 2