The tunable and high levels of reversible or actuation strains are important for the application of reversible shape-memory polymers (RSMPs) as actuators. Here, temperature-memory polymer actuators based on semicrystalline networks exhibiting a broad melting temperature range are presented. The relationship between the programing temperature (T_prog), applied actuation temperature (T_act) and actuation strains is explored. The actuation strains increase first and then decrease with the elevated T_act, showing the maximum actuation strain when T_act is roughly the same as the T_prog. The contraction force is also found to show the maximum nearly at the T_prog. The exactly same temperature memory effect of reversible deformation and contraction force arises from the gradually activating of actuation domain below T_prog and softening of skeleton domain above T_prog, resulting highly tunable reversible deformation based on temperature memory. This work provides the design criteria for tuning the reversible strain of semicrystalline networks based on the temperature memory effect, and the custom-designed actuator shows potential applications in the field of anti-counterfeiting.

可逆或致动应变的可调和高水平对于可逆形状记忆聚合物 (RSMP) 作为致动器的应用很重要。在这里，提出了基于具有广泛熔化温度范围的半结晶网络的温度记忆聚合物致动器。探索了编程温度 (T _prog )、施加的致动温度 (T _act ) 和致动应变之间的关系。致动应变随着 T _act的升高先增加然后减小，显示当 T _act与 T _prog大致相同时最大致动应变_。还发现收缩力在 T _{prog 附近}显示出最大值_。的可逆变形和收缩力完全相同的温度记忆效应起因于低于T致动域的逐渐激活_PROG和高于T骨架结构域的软化_PROG基于温度存储器，导致高度可调的可逆变形。这项工作为基于温度记忆效应调节半晶网络的可逆应变提供了设计标准，定制设计的执行器在防伪领域显示了潜在的应用。