TY - JOUR
T1 - Effect of impact deformation on shape recovery behavior in Fe-Mn-Si shape memory alloy under shape memory training process with cyclic thermo-mechanical loading
AU - Sun, Qian
AU - Cao, Bo
AU - Iwamoto, Takeshi
AU - Suo, Tao
N1 - Publisher Copyright:
© 2021, Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2021/7
Y1 - 2021/7
N2 - In the past studies, it has been discovered that the shape memory effect (SME) in the Fe-Mn-Si shape memory alloy (Fe-SMA) can gradually be enhanced by a pre-process called as shape memory training process under cyclic thermo-mechanical loading. On the other hand, it has been shown that the SME of Fe-SMA can also be affected by changing the strain rate. Therefore, it is possible to improve the SME by combining the strain rate sensitivity and shape memory training process. However, the improvement of SME caused by the training process under impact condition is still unclear. For the training process under impact condition, it is difficult to interrupt the test at the desired strain level due to many reflections of stress waves, which reload the specimen from the free ends. In this paper, to obtain reliable experimental results of SME after the training process under impact condition, the stress waves after first loading are eliminated by the double momentum-trap structure introduced into the impact tensile testing apparatus based on the split Hopkinson pressure bar method. In order to achieve an optimum design of the structure used in experiments, the finite element simulation of the structure is performed. Then, tensile tests in the training process of Fe-28Mn-6Si-5Cr alloy at different strain rates including the impact level are conducted and temperature change of the specimen is measured during training and heating process. As a result, the improvement of SME in the alloy after the training process under quasi-static and impact loading is compared with that under quasi-static loading through verification processes.
AB - In the past studies, it has been discovered that the shape memory effect (SME) in the Fe-Mn-Si shape memory alloy (Fe-SMA) can gradually be enhanced by a pre-process called as shape memory training process under cyclic thermo-mechanical loading. On the other hand, it has been shown that the SME of Fe-SMA can also be affected by changing the strain rate. Therefore, it is possible to improve the SME by combining the strain rate sensitivity and shape memory training process. However, the improvement of SME caused by the training process under impact condition is still unclear. For the training process under impact condition, it is difficult to interrupt the test at the desired strain level due to many reflections of stress waves, which reload the specimen from the free ends. In this paper, to obtain reliable experimental results of SME after the training process under impact condition, the stress waves after first loading are eliminated by the double momentum-trap structure introduced into the impact tensile testing apparatus based on the split Hopkinson pressure bar method. In order to achieve an optimum design of the structure used in experiments, the finite element simulation of the structure is performed. Then, tensile tests in the training process of Fe-28Mn-6Si-5Cr alloy at different strain rates including the impact level are conducted and temperature change of the specimen is measured during training and heating process. As a result, the improvement of SME in the alloy after the training process under quasi-static and impact loading is compared with that under quasi-static loading through verification processes.
KW - cyclic thermo-mechanical process
KW - Fe-Mn-Si shape memory alloy
KW - impact deformation
KW - momentum-trap
KW - split Hopkinson pressure bar
KW - training
UR - http://www.scopus.com/inward/record.url?scp=85106401379&partnerID=8YFLogxK
U2 - 10.1007/s11431-020-1759-y
DO - 10.1007/s11431-020-1759-y
M3 - 文章
AN - SCOPUS:85106401379
SN - 1674-7321
VL - 64
SP - 1389
EP - 1400
JO - Science China Technological Sciences
JF - Science China Technological Sciences
IS - 7
ER -