Fe-C-Si-Mn alloy castings used as blades in hydroelectric generators are studied and found to contain network structures after some heat treatments. Castings after annealing and normalizing were analyzed by microscope...Fe-C-Si-Mn alloy castings used as blades in hydroelectric generators are studied and found to contain network structures after some heat treatments. Castings after annealing and normalizing were analyzed by microscope and transmission electron microscopy (TEM). The network formed during annealing was proved by TEM to be pearlite with very fine slices, while that formed during normalizing was proved by TEM and micro-hardness to be martensite or bainite. A theoretical analysis together with experimental studies has proved that the pearlite network is caused by carbon content increase in the interdendritic regions to which carbon atoms transfered from dendritic arms due to lower manganese content there during annealing, while the martensite or bainite network results from the higher hardenability of interdendritic regions where manganese content is higher. Experiments reveal that higher heating temperature or longer heating time enlarges the network size due to manganese homogenization. The network structure has a strengthening function like reinforcing rib, and the smaller the network size, the greater its strengthening capability.展开更多
通过弯曲法测量、热循环训练、扫描电镜、X射线衍射等方法,研究了复合稀土对Fe Mn Si Ni C合金形状记忆效应的影响。研究结果表明,Fe Mn Si Ni C合金中加入复合稀土,能够明显细化合金的金相组织,显著提高合金的形状记忆效应,并使合金表...通过弯曲法测量、热循环训练、扫描电镜、X射线衍射等方法,研究了复合稀土对Fe Mn Si Ni C合金形状记忆效应的影响。研究结果表明,Fe Mn Si Ni C合金中加入复合稀土,能够明显细化合金的金相组织,显著提高合金的形状记忆效应,并使合金表现出微弱的双程记忆效应。试验结果还表明,第一种训练途径以及加入微量复合稀土是降低应力诱发ε马氏体稳定化行之有效的方法,X射线衍射结果表明,该训练方法有助于提高合金中ε→γ转变的ε逆转变率,对提高合金的记忆性能起积极的作用。展开更多
文摘Fe-C-Si-Mn alloy castings used as blades in hydroelectric generators are studied and found to contain network structures after some heat treatments. Castings after annealing and normalizing were analyzed by microscope and transmission electron microscopy (TEM). The network formed during annealing was proved by TEM to be pearlite with very fine slices, while that formed during normalizing was proved by TEM and micro-hardness to be martensite or bainite. A theoretical analysis together with experimental studies has proved that the pearlite network is caused by carbon content increase in the interdendritic regions to which carbon atoms transfered from dendritic arms due to lower manganese content there during annealing, while the martensite or bainite network results from the higher hardenability of interdendritic regions where manganese content is higher. Experiments reveal that higher heating temperature or longer heating time enlarges the network size due to manganese homogenization. The network structure has a strengthening function like reinforcing rib, and the smaller the network size, the greater its strengthening capability.
文摘通过弯曲法测量、热循环训练、扫描电镜、X射线衍射等方法,研究了复合稀土对Fe Mn Si Ni C合金形状记忆效应的影响。研究结果表明,Fe Mn Si Ni C合金中加入复合稀土,能够明显细化合金的金相组织,显著提高合金的形状记忆效应,并使合金表现出微弱的双程记忆效应。试验结果还表明,第一种训练途径以及加入微量复合稀土是降低应力诱发ε马氏体稳定化行之有效的方法,X射线衍射结果表明,该训练方法有助于提高合金中ε→γ转变的ε逆转变率,对提高合金的记忆性能起积极的作用。
