Liu Bingfei, Pan Yaxuan
Science and Technology Innovation Research Institute, Civil Aviation University of China, Tianjin 300300, China.
Aviation Engineering Institute, Civil Aviation University of China, Tianjin 300300, China.
Micromachines (Basel). 2022 Mar 31;13(4):566. doi: 10.3390/mi13040566.
Porous shape memory alloys (SMAs) have been widely used in the aerospace, military, medical, and health fields due to its unique mechanical properties such as superelasticity, biocompatibility, and shape memory effect. In this work, the pore shape was considered in the constitutive model of the porous SMAs by respectively introducing the parameter of aspect ratio and for different pore shapes including oblate, sphere, and prolate shapes, so the expression of Young's modulus for the porous SMA can be derived. Then, the constitutive model for such a porous shape memory alloy was established. When the porosity was zero, the model can be degenerated to the dense case. The stress-strain curves for the porous SMA with a porosity of 13% with different aspect ratio are then given. Numerical results showed good agreement with the published experimental data that proved the validation of the model. Based on the proven constitutive model, the properties of porous SMA with different porosity and pore shapes are discussed. The results showed that the pore shapes and the porosities had a big effect on the stress-strain curves for the porous shape memory, while with the increasing porosities, the Young's modulus and the hysteresis both decreased. With the same porosities, the Young's modulus and hysteresis loop of SMA with round pores were the largest, while the Young's modulus and hysteresis loop were the smallest when r=0.1, and they were greater when r=0.75 than when r=10. It can be seen that the closer to the circle, the better the performance of the material.
多孔形状记忆合金(SMA)因其独特的力学性能,如超弹性、生物相容性和形状记忆效应,已在航空航天、军事、医疗和健康领域得到广泛应用。在这项工作中,通过分别引入纵横比参数,并针对包括扁球形、球形和长球形在内的不同孔隙形状,在多孔SMA的本构模型中考虑了孔隙形状,从而可以推导出多孔SMA的杨氏模量表达式。然后,建立了这种多孔形状记忆合金的本构模型。当孔隙率为零时,该模型可退化为致密情况。接着给出了孔隙率为13%、不同纵横比的多孔SMA的应力-应变曲线。数值结果与已发表的实验数据吻合良好,证明了该模型的有效性。基于已验证的本构模型,讨论了不同孔隙率和孔隙形状的多孔SMA的性能。结果表明,孔隙形状和孔隙率对多孔形状记忆合金的应力-应变曲线有很大影响,随着孔隙率的增加,杨氏模量和滞后现象均减小。在相同孔隙率下,圆形孔隙SMA的杨氏模量和滞后回线最大,而当r = 0.1时杨氏模量和滞后回线最小,当r = 0.75时比r = 10时更大。可以看出,越接近圆形,材料的性能越好。