A Comparative Analysis of Orientation on the Shape Memory Effect of Fabric Reinforced Shape Memory Polymer Composites

2015 ◽  
Vol 830-831 ◽  
pp. 529-532 ◽  
Author(s):  
D. Mohanakrishnan ◽  
M. Sureshkumar

Shape memory polymer composites (SMPC) are a new kind of smart materials where many researches have been carried out. In SMPC, shape memory polymers serves as a matrix material and particles or fibers act as reinforcements. As structural applications demand structures to withstand load and stiffness, particles reinforced SMPC does not serve for it. Therefore fiber/fabric reinforced SMPC used widely for such applications. SMPC’S changes its shape during a typical thermo-mechanical cycle and retracts to its original shape upon external stimulus (temperature). Molecular mechanism is the driving force of these SMP’s. SMP consists of 1.molecular switches and 2. netpoints. This project deals with Epoxy shape memory resin (Matrix material) and fabrics such as Glass, Kevlar and Carbon (Reinforcements).A Comparative analysis was carried out to find which combination gives the best results by bend test. Different orientations were tried for bidirectional fabrics such as (0/90)3, (0/45)3, ((0/90)/(±45)/(0/90)) specimens. Finally it was concluded that Carbon fabric which has the orientation of (0/90/±45/0/90) gives better shape memory performance.

Author(s):  
L. Santo ◽  
L. Iorio ◽  
G. M. Tedde ◽  
F. Quadrini

Shape Memory Polymer Composites (SMPCs) are smart materials showing the structural properties of long-fiber polymer-matrix together with the functional behavior of shape memory polymers. In this study, SM carbon fiber reinforced (CFR) composites have been produced by using a SM interlayer between two CFR prepregs. Their SM properties have been evaluated in comparison with traditional structural CFR composites without the SM interlayer by using an especially designed test. Active and frozen forces are measured during a thermo-mechanical cycle in the three-point bending configuration. Experimental results show that SMPCs are able to fix a temporary deformed shape by freezing high stresses.


Polymers ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 110
Author(s):  
Chuang Zhang ◽  
Long Li ◽  
Yuanhang Xin ◽  
Jiaqi You ◽  
Jing Zhang ◽  
...  

In this study, which was inspired by mussel-biomimetic bonding research, carbon nanotubes (CNTs) were interfacially modified with polydopamine (PDA) to prepare a novel nano-filler (CNTs@PDA). The structure and properties of the CNTs@PDA were studied using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), Raman spectroscopy, X-ray photoelectron spectroscopy (XPS), and thermogravimetric analysis (TGA). The CNTs and the CNTs@PDA were used as nanofillers and melt-blended into trans-1,4 polyisoprene (TPI) to create shape-memory polymer composites. The thermal stability, mechanical properties, and shape-memory properties of the TPI/CNTs and TPI/CNTs@PDA composites were systematically studied. The results demonstrate that these modifications enhanced the interfacial interaction, thermal stability, and mechanical properties of TPI/CNTs@PDA composites while maintaining shape-memory performance.


2008 ◽  
Vol 47-50 ◽  
pp. 690-693 ◽  
Author(s):  
Da Wei Zhang ◽  
Jin Song Leng ◽  
Yan Ju Liu

This paper is concerned about the synthesis of shape memory styrene copolymer and the investigation of the influence of radialization dosage on its shape memory effect. As one of novel actuators in smart materials, shape memory polymers (SMPs) have been investigated intensively. Styrene copolymer with proper cross-linking degree can exhibit shape memory effect (SME). In this paper, the influence of radialization on shape memory effect of styrene copolymer was investigated through altering the dosage of radialization. The radialization dosage of styrene copolymer was determined by changed radicalization time. The glass transition temperature (Tg) of styrene copolymerwas measured by Dynamic Mechanical Analysis (DMA). The shape memory performance of styrene copolymer with different radiated dosage was also evaluated. Results indicated that the shape memory polymer (SMP) was synthesized successfully. The Tg increased from 60°C to 65°C followed by increasing the radialization dosage. Moreover, the SMP experienced good SME and the largest reversible strain of the SMP reached as high as 150%. When heating above Tg+30°C (different copolymers performed different Tg), the shape recovery speed of the copolymers increased with increasing the radialization dosage. However, the recovery speed decreased with increasing the radialization dosage at the same temperature of 95°C.


2011 ◽  
Vol 287-290 ◽  
pp. 2898-2901
Author(s):  
Shu Jie Zhang ◽  
Lei Cheng

Shape Memory Polymer Composites (SMPC) is a compound of resin matrix and fiber reinforced material. It has advantages of lager restoring force, lower density, higher stiffness and strength. The stiffness of laminate and thin walled tube using SMPC materials was discussed in this paper. Experiment was made to verify the different structures influences on deployment at the same temperature. The initial stiffness of laminate decrease at 40°C to 50°C, but that’s for tube was about 70°C to 80°C. It illustrated that the structural influence should also be concerned except the Tg. At the last of the paper, stiffness of laminate, tube and semicircular were calculated respectively to see the influence of structure at normal temperature.


Micromachines ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1107
Author(s):  
Mijeong Kim ◽  
Seongeun Jang ◽  
Sungwoong Choi ◽  
Junghoon Yang ◽  
Jungpil Kim ◽  
...  

Shape memory polymers (SMPs) are attracting attention for their use in wearable displays and biomedical materials due to their good biocompatibility and excellent moldability. SMPs also have the advantage of being lightweight with excellent shape recovery due to their low density. However, they have not yet been applied to a wide range of engineering fields because of their inferior physical properties as compared to those of shape memory alloys (SMAs). In this study, we attempt to find optimized shape memory polymer composites. We also investigate the shape memory performance and physical properties according to the filler type and amount of hardener. The shape memory composite was manufactured by adding nanocarbon materials of graphite and non-carbon additives of Cu. The shape-recovery mechanism was compared, according to the type and content of the filler. The shape fixation and recovery properties were analyzed, and the physical properties of the shape recovery composite were obtained through mechanical strength, thermal conductivity and differential scanning calorimetry analysis.


2018 ◽  
Vol 55 (4) ◽  
pp. 494-497
Author(s):  
Giovanni Matteo Tedde ◽  
Loredana Santo ◽  
Denise Bellisario ◽  
Leandro Iorio ◽  
Fabrizio Quadrini

Shape Memory Polymer Composites (SMPCs) are a class of smart materials in which the structural properties of long-fiber polymer-matrix composites and the functional behavior of Shape Memory Polymers (SMP) are combined together. In this study, the frozen stresses resulting from fixing a deformed shape have been investigated. Two different samples were manufactured, with and without significant shape memory properties, and a three point flexural test equipment was used in order to fix a deformed shape. The forces and the resulting stresses were measured during the samples deformation and after the shape freezing. The experimental tests have shown that the shape memory sample has a better ability to fix a deformed shape, since its frozen stress is higher in all the tests.


2017 ◽  
Vol 28 (17) ◽  
pp. 2363-2371 ◽  
Author(s):  
M Sendil Murugan ◽  
Sandhya Rao ◽  
MC Chiranjeevi ◽  
A Revathi ◽  
Kavitha V Rao ◽  
...  

A shape memory polymer is capable of multifunctional performance, be it structural or non-structural. Several actuation mechanisms can be employed to trigger shape memory behaviour. Among these, thermal actuation is most comprehensively studied and applied due to its ease of understanding and utility. However, from the point of view of some niche applications, electrical actuation also needs to be examined. This is all the more relevant for modern aircraft where actuation is amenable to remote computer controls and advanced instrumentation. This in turn paves the way for realizing lightweight and adaptive aircraft structures. In this work, shape memory performance via electrical actuation of unidirectional carbon ply–epoxy shape memory polymer composites has been investigated using an in-house designed test set-up in the manual and automated modes. The synergistic role of carbon plies and the epoxy shape memory polymer matrix for realizing faster shape recovery has been observed. The effect of number of carbon plies on the cyclic shape memory performance of the shape memory polymer composite has also been evaluated. This work demonstrates the feasibility of developing efficient electrically actuated shape memory composites and their potential for different applications.


2016 ◽  
Vol 08 (07) ◽  
pp. 1640009 ◽  
Author(s):  
Fengfeng Li ◽  
Liwu Liu ◽  
Xin Lan ◽  
Tong Wang ◽  
Xiangyu Li ◽  
...  

With large spatial deployable antennas used more widely, the stability of deployable antennas is attracting more attention. The form of the support structure is an important factor of the antenna’s natural frequency, which is essential to study to prevent the resonance. The deployable truss structures based on shape memory polymer composites (SMPCs) have made themselves feasible for their unique properties such as highly reliable, low-cost, light weight, and self-deployment without complex mechanical devices compared with conventional deployable masts. This study offers deliverables as follows: an establishment of three-longeron beam and three-longeron truss finite element models by using ABAQUS; calculation of natural frequencies and vibration modes; parameter studies for influence on their dynamic properties; manufacture of a three-longeron truss based on SMPC, and modal test of the three-longeron truss. The results show that modal test and finite element simulation fit well.


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