Optimization of thermo-mechanical properties of shape memory polymer composites based on a network model

Wang, Zhenqing; Chang, Mengzhou; Kong, Fangyun; Yun, Kumchol

doi:10.1016/j.ces.2019.07.022

Cited by 16 publications

(5 citation statements)

References 42 publications

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“…Current research on the shape memory properties of TPI is also developing at a rapid pace [16,17]. However, the poor mechanical properties of TPI shape memory materials have limited their use in some applications [18,19]. Many researchers have begun to investigate ways to enhance the physical and mechanical properties by adding high-strength fillers, such as carbon black (CB) [20], carbon nanotubes (CNTs) [21], graphene oxide (GO) [22] and carbon fibres [23].…”

Section: Introductionmentioning

confidence: 99%

The effect of organic clay on the properties of TPI/NR composite materials

Zhang,

Liang,

Jia

et al. 2024

Phys. Scr.

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TPI shape memory materials' low flexibility and poor mechanical properties currently limit their use in a broader range of applications. Most scholars use high performance fillers to improve their mechanical properties. However, the cost of high-performance fillers is high. Therefore, the introduction of flexible natural rubber (NR) and low-cost organic clay (OC) into the trans-1,4-polyisoprene (TPI) matrix as the reinforcing phase. A new shape memory polymer— TPI/NR/OC, was prepared by mechanical melt blending. The effect of the changes of filler content on the thermodynamic properties of the composite materials were revealed by series of tests. The results showed that OC formed a homogeneous intercalation structure with the composite matrix, and OC promoted the crystallization of TPI, and part of OC was able to form physical entanglements with the molecular chains of the composites, which led to the improvement of mechanical and shape memory properties. The tensile strength of the composite at an OC dosage of 3.6phr was 19.9MPa, with a shape fixity ratio of 97.9% and a shape recovery ratio of 96.8%. The relevant findings of this research may provide valuable design references for more areas of application of shape memory composites.

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Section: Introductionmentioning

confidence: 99%

The effect of organic clay on the properties of TPI/NR composite materials

Zhang,

Liang,

Jia

et al. 2024

Phys. Scr.

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“…SMPs have a wide range of application prospects due to their unique advantages, but there are still poor mechanical properties, lower strength, and poor fatigue resistance that limit the application of SMPs in practical applications [9][10][11]. Therefore, the incorporation of inorganic llers as reinforcing agents in matrix materials with shape memory has become a dominant trend in SMPs today [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

The shape memory performance of the dynamically vulcanized TPV nanocomposites of trans-isoprene/ low-density polyethylene and organoclay

Zhang,

Jia,

Shen

et al. 2024

J Polym Res

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Triple shape memory materials currently have a wide range of applications in aerospace and healthcare, however, the lack of their mechanical properties limits their wider application. In order to overcome the problem of low mechanical properties of the triple shape memory composites, in this study, organoclay (OC), which is low-cost and has an intercalation-type structure, was introduced as a reinforcing phase in a trans-isoprene (TPI) with regular molecular chains and a low-crosslinking low-density polyethylene (LDPE) matrix. TPI/LDPE/OC shape memory composites (SMP) were prepared by melt blending and vulcanized by dynamic vulcanization technique. Since different OC contents have different effects on the properties of the composites, it is particularly important to select the appropriate OC content. A series of experiments were conducted to reveal the effect of OC content on the mechanical and shape memory properties of TPI/LDPE/OC composites. The results show that OC can form a stable and homogeneous intercalation structure in the composites when the OC incorporation amount is 2 phr, and the mechanical properties and triple shape memory properties of the composites are optimized. This study demonstrates that OC can improve the crystallinity and cross-linking of TPI/LDPE composites, thus providing potential value for the study of multiple shape memory material applications.

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“…In recent years, a large number of theoretical methods [21] have been presented to investigate elastic constants, nonlinear deformation, and failure characteristic of the SMPC. With an analogy way with thermomechanical responses at macroscale, Wang et al [22] presented a chain model to optimize the chain system of the SMPC. It is revealed that the shape memory property is improved by increasing the cross link density.…”

Section: Introductionmentioning

confidence: 99%

A Novel Microscopic Modeling Scheme for the Shape Memory Polymer Composites with respect to the Ambient Temperature

Liu

et al. 2022

International Journal of Aerospace Engineering

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This paper is aimed at studying the effective mechanical property of shape memory polymer composites (SMPC) reinforced with natural short fibers. To this end, a novel modeling scheme was presented. The SMPC was firstly equivalent to the composite laminates, and the natural short fibers are also subtly equivalent to the ellipsoidal inclusions distributed in the matrix materials periodically. Moreover, a represented volume element along laminate thickness can be easily chosen, and its elastic constants are accurately acquired by employing a proper microscopic mechanical model. Herein, the high-fidelity generalized method of cells, which represents a good ability in predicting the effective mechanical behaviors of composites, was used. On this basis, the classic laminate theory was improved to suitable for describing the elastic constants and failure strength the SMPC with respect to ambient temperature. Numerical results show a good consistency to the experimental data. Moreover, a higher ambient temperature tends to sharply decrease their final failure strength. It is also revealed that the presented modeling method shows a great potential in calculating the effectively mechanical property of the natural short fiber-reinforced composites.

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Optimization of thermo-mechanical properties of shape memory polymer composites based on a network model

Cited by 16 publications

References 42 publications

The effect of organic clay on the properties of TPI/NR composite materials

The effect of organic clay on the properties of TPI/NR composite materials

The shape memory performance of the dynamically vulcanized TPV nanocomposites of trans-isoprene/ low-density polyethylene and organoclay

A Novel Microscopic Modeling Scheme for the Shape Memory Polymer Composites with respect to the Ambient Temperature

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