The effect of latent plasticity on the shape recovery of a shape memory vitrimer. (15th March 2021)

• Record Type: Journal Article
• Authors: Chen, Fengbiao; Cheng, Qian; Gao, Fei; Zhong, Jiang; Shen, Liang; Lin, Cong; Lin, Yangju
• Is Part Of: European polymer journal. Volume 147(2021)
• Publication Date: 2021-03-15
• Subjects: Vitrimer -- Shape recovery -- Programming-time -- Activation energy; Polymers -- Periodicals; Polymerization -- Periodicals; Polymères -- Périodiques; Polymérisation -- Périodiques; Polymerization; Polymers; Periodicals; Electronic journals; 547.705
• DOI: 10.1016/j.eurpolymj.2021.110304
• Languages: English
• ISSNs: 0014-3057

Abstract

Graphical abstract: To address the potential influence of network plasticity, we studied the shape memory behaviour of a novel vinylogous urethane shape memory vitrimer and found that there is a dependence of shape recovery on the shape-programming time: a longer programming time leads to a poorer shape recovery. Highlights: We report a vinylogous urethane SMV prepared from cardanol raw materials. The vinylogous urethane exhibits a low E a value of 33 kJ/mol. The E a value evidenced by stress-relaxation and creep experiments. A longer programming time leads to a poorer shape recovery. Abstract: The utility of covalent crosslinkers as permanent netpoints has enabled robust shape memory behaviour in shape memory thermosets (SMTs). Having this permanent crosslinked structure, alternatively, challenges the reprogramming of permanent shapes. The introduction of vitrimeric type dynamic chemistry into SMTs allows for reconfiguration of crosslinked network and thus reprogramming of permanent shapes. However, adding this adaptability/plasticity to the network could potentially affect the shape memory behaviour, especially when the shape programming is conducted at a temperature that activates the network plasticity as well. Herein, to address the potential influence of network plasticity, we studied the shape memory behaviour of a shape memory vitrimer (SMV) that possesses a low network activation energy ( E a ) of 33 kJ/mol, which indicates a relatively high plasticity index during shape programming. As we found, there is a dependence of shape recovery on the shape-programming time: a longer programming time leads to a poorer shape recovery. This negative correlation results from the dissipation of stored elastic energy at local strained regions associated with shape programming. We further related the loss of elastic energy to the stress-relaxation that results from chain exchanges. Accordingly, the dependence can be analyzed with an analog of stress-relaxation model. We reasoned that this latent plasticity associated with dynamic chain exchanges is ubiquitous in SMVs, and so one needs to carefully evaluate the reprogramming temperature and time when performing shape memory studies on SMVs.