A reactive graphene sheet in situ functionalized hyperbranched polyurethane for high performance shape memory material

RSC Advances ◽  
2014 ◽  
Vol 4 (29) ◽  
pp. 15146-15153 ◽  
Author(s):  
Sibdas Singha Mahapatra ◽  
Madeshwaran Sekkarapatti Ramasamy ◽  
Hye Jin Yoo ◽  
Jae Whan Cho
Keyword(s):  
Shape Memory ◽  
Graphene Sheet ◽  
High Performance ◽  
Graphene Sheets ◽  
Shape Memory Material ◽  
Memory Material ◽  
Covalently Bonded ◽  
Hyperbranched Polyurethane ◽  
The Matrix

Covalently bonded graphene sheets with hyperbranched polyurethane were homogeneously dispersed in the matrix appeared as high performance shape memory material.

Biobased waterborne hyperbranched polyurethane/NiFe2O4@rGO nanocomposite with multi-stimuli responsive shape memory attributes

RSC Advances ◽  
2016 ◽  
Vol 6 (97) ◽  
pp. 94815-94825 ◽  
Author(s):  
Satyabrat Gogoi ◽  
Niranjan Karak
Keyword(s):  
Graphene Oxide ◽  
Shape Memory ◽  
Reduced Graphene Oxide ◽  
Nickel Ferrite ◽  
Shape Memory Material ◽  
Stimuli Responsive ◽  
Memory Material ◽  
Hyperbranched Polyurethane ◽  
Reduced Graphene

A biobased waterborne hyperbranched polyurethane nanocomposite was in situ fabricated with nickel ferrite/reduced graphene oxide nanohybrid (NiFe2O4@rGO) as stimuli responsive shape memory material.

Advanced TEM Investigations on Ni-Ti Shape Memory Material: Strain and Concentration Gradients Surrounding Ni4Ti3 Precipitates

2004 ◽  
Vol 842 ◽  
Author(s):  
Dominique Schryvers ◽  
Wim Tirry ◽  
Zhiqing Yang
Keyword(s):  
Fourier Analysis ◽  
Shape Memory ◽  
Shape Memory Material ◽  
Austenite Matrix ◽  
Concentration Gradients ◽  
Memory Material ◽  
The Matrix

ABSTRACTLattice deformations and concentration gradients surrounding Ni4Ti3 precipitates grown by appropriate annealing in a Ni51Ti49 B2 austenite matrix are determined by a combination of TEM techniques. Quantitative Fourier analysis of HRTEM images reveals a deformed nanoscale region with lattice deformations up to 2% while EELS and EDX indicate a Ni depleted zone up to 150 nm away from the matrix-precipitate interface.

scholarly journals Additive Manufacturing of Smart Composite Structures Based on Flexinol Wires

Materials ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 499
Author(s):  
Olaf Dudek ◽  
Wojciech Klein ◽  
Damian Gąsiorek ◽  
Mariusz Pawlak
Keyword(s):  
Shape Memory ◽  
Composite Structure ◽  
Composite Structures ◽  
Shape Memory Material ◽  
Smart Composite ◽  
Memory Material ◽  
Current Voltage ◽  
Smart Composite Structures ◽  
3D Printed ◽  
Special Approach

3D printing of a composite structure with shape memory materials requires a special approach to the subject, at the stage of the design and printing process. This paper presents the design steps during the development of a 3D-printed composite structure with shape memory material. The connection points between the SMA fibers and the printer filament are developed in the MATLAB environment. Finite element method is used to simulate the shortening of the shape memory material under the influence of temperature and its effect on the printed polymer material is presented. In the MATLAB environment, evolutionary algorithms were used to determine the shape of the SMA fiber alignment. This work demonstrates the use of shape memory effect in 3D printed smart composite structures, where the component takes a predetermined shape. The structure obtained as a result of such printing changes with the heat generated by the current voltage, making it the desired fourth dimension.

Color Changeable Shape Memory Material

Daxue Huaxue ◽  
2020 ◽  
Vol 35 (4) ◽  
pp. 161-167
Author(s):  
Qianqian Qian ◽  
Saisai Liu ◽  
Lu Jiang ◽  
Gang Liu ◽  
Ronglan Wu
Keyword(s):  
Shape Memory ◽  
Shape Memory Material ◽  
Memory Material
Sign in / Sign up

Export Citation Format

Share Document