The Experts below are selected from a list of 126153 Experts worldwide ranked by ideXlab platform
Baozhong Sun - One of the best experts on this subject based on the ideXlab platform.
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shape memory behavior and Recovery force of 4d printed laminated miura origami structures subjected to compressive loading
Composites Part B-engineering, 2018Co-Authors: Xin Lan, Chase Cotton, Fenghua Zhang, Jinsong Leng, Wei Zhang, Yang Liu, Shuang Liu, Xinqiao Jia, Baozhong SunAbstract:Abstract Four-dimensionally (4D) printed origami structures have great potential for applications in actuators and reconfigurable devices by taking the advantages of 3D printing technology and shape memory polymers. This study focuses on the shape Recovery progression of 4D printed laminated Miura-origami tessellations and tubes under compressive load-induced unfolding and folding. Recovery forces of the specimens are characterized by dynamic mechanical analysis (DMA) experiments. The shape Recovery behavior and Recovery force are significantly influenced by the shape Recovery Temperature and loading pattern. The high shape Recovery capability of the specimens are signified by the shape Recovery ratio of over 94% and volume changes of up to 289%. Lastly, the actuator application of a 4D printed laminated Miura-origami structure has been demonstrated.
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Shape memory behavior and Recovery force of 4D printed textile functional composites
Composites Science and Technology, 2018Co-Authors: Wei Zhang, Xin Lan, Taylor M. Bryson, Amanda S Wu, Chase Cotton, Fenghua Zhang, Jinsong Leng, Bohong Gu, Baozhong SunAbstract:Four-dimensional (4D) printing of multi-directionally reinforced preforms has tremendous potential for the development of next generation functional composites by using the capabilities of 3D printing technology, 3D textile preform design, and polymer shape memory behavior. This work demonstrates the shape memory behavior and Recovery force of 4D printed circular braided tube preforms and their silicone elastomer matrix composites. The preforms were printed by fused deposition modeling using the shape memory polymer (SMP), polylactic acid (PLA). The effects of braiding angle, tube wall thickness, and shape Recovery Temperature on the shape memory behavior of 4D printed tube preforms and their silicone elastomer matrix composites have been characterized. Measurements of shape Recovery forces of the preform and composite were conducted using dynamic mechanical analysis (DMA). The braided microstructural parameters and shape Recovery Temperature have a significant effect on the preform shape memory behavior. The introduction of the silicone elastomer matrix greatly enhances the shape Recovery force, shape Recovery ratio, as well as radial compressive failure load of the 4D printed preform/silicone elastomer matrix composite. Building on these results, a potential application for 4D printed textile functional composites is presented.
Ji Zhao - One of the best experts on this subject based on the ideXlab platform.
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radial compressive property and the proof of concept study for realizing self expansion of 3d printing polylactic acid vascular stents with negative poisson s ratio structure
Materials, 2018Co-Authors: Ji Zhao, Peipei Wang, Bofan Wang, Shuo ZhangAbstract:Biodegradable stents offer the potential to reduce the in-stent restenosis by providing support long enough for the vessel to heal. The polylactic acid (PLA) vascular stents with negative Poisson's ratio (NPR) structure were manufactured by fused deposition modeling (FDM) 3D printing in this study. The effects of stent diameter, wall thickness and geometric parameters of arrowhead NPR structure on radial compressive property of 3D-printed PLA vascular stent were studied. The results showed that the decrease of stent diameter, the increase of wall thickness and the increase of the surface coverage could enhance the radial force (per unit length) of PLA stent. The radial and longitudinal size of PLA stent with NPR structure decreased simultaneously when the stent was crimped under deformation Temperature. The PLA stent could expand in both radial and longitudinal direction under Recovery Temperature. When the deformation Temperature and Recovery Temperature were both 65 °C, the diameter Recovery ratio of stent was more than 95% and the maximum could reach 98%. The length Recovery ratio was above 97%. This indicated the feasibility of utilizing the shape memory effect (SME) of PLA to realize the expansion of 3D-printed PLA vascular stent under Temperature excitation.
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influence of layer thickness raster angle deformation Temperature and Recovery Temperature on the shape memory effect of 3d printed polylactic acid samples
Materials, 2017Co-Authors: Peng Geng, Y Wang, Ji ZhaoAbstract:The success of the 3D-printing process depends upon the proper selection of process parameters. However, the majority of current related studies focus on the influence of process parameters on the mechanical properties of the parts. The influence of process parameters on the shape-memory effect has been little studied. This study used the orthogonal experimental design method to evaluate the influence of the layer thickness H, raster angle θ, deformation Temperature Td and Recovery Temperature Tr on the shape-Recovery ratio Rr and maximum shape-Recovery rate Vm of 3D-printed polylactic acid (PLA). The order and contribution of every experimental factor on the target index were determined by range analysis and ANOVA, respectively. The experimental results indicated that the Recovery Temperature exerted the greatest effect with a variance ratio of 416.10, whereas the layer thickness exerted the smallest effect on the shape-Recovery ratio with a variance ratio of 4.902. The Recovery Temperature exerted the most significant effect on the maximum shape-Recovery rate with the highest variance ratio of 1049.50, whereas the raster angle exerted the minimum effect with a variance ratio of 27.163. The results showed that the shape-memory effect of 3D-printed PLA parts depended strongly on Recovery Temperature, and depended more weakly on the deformation Temperature and 3D-printing parameters.
Jinsong Leng - One of the best experts on this subject based on the ideXlab platform.
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shape memory behavior and Recovery force of 4d printed laminated miura origami structures subjected to compressive loading
Composites Part B-engineering, 2018Co-Authors: Xin Lan, Chase Cotton, Fenghua Zhang, Jinsong Leng, Wei Zhang, Yang Liu, Shuang Liu, Xinqiao Jia, Baozhong SunAbstract:Abstract Four-dimensionally (4D) printed origami structures have great potential for applications in actuators and reconfigurable devices by taking the advantages of 3D printing technology and shape memory polymers. This study focuses on the shape Recovery progression of 4D printed laminated Miura-origami tessellations and tubes under compressive load-induced unfolding and folding. Recovery forces of the specimens are characterized by dynamic mechanical analysis (DMA) experiments. The shape Recovery behavior and Recovery force are significantly influenced by the shape Recovery Temperature and loading pattern. The high shape Recovery capability of the specimens are signified by the shape Recovery ratio of over 94% and volume changes of up to 289%. Lastly, the actuator application of a 4D printed laminated Miura-origami structure has been demonstrated.
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Shape memory behavior and Recovery force of 4D printed textile functional composites
Composites Science and Technology, 2018Co-Authors: Wei Zhang, Xin Lan, Taylor M. Bryson, Amanda S Wu, Chase Cotton, Fenghua Zhang, Jinsong Leng, Bohong Gu, Baozhong SunAbstract:Four-dimensional (4D) printing of multi-directionally reinforced preforms has tremendous potential for the development of next generation functional composites by using the capabilities of 3D printing technology, 3D textile preform design, and polymer shape memory behavior. This work demonstrates the shape memory behavior and Recovery force of 4D printed circular braided tube preforms and their silicone elastomer matrix composites. The preforms were printed by fused deposition modeling using the shape memory polymer (SMP), polylactic acid (PLA). The effects of braiding angle, tube wall thickness, and shape Recovery Temperature on the shape memory behavior of 4D printed tube preforms and their silicone elastomer matrix composites have been characterized. Measurements of shape Recovery forces of the preform and composite were conducted using dynamic mechanical analysis (DMA). The braided microstructural parameters and shape Recovery Temperature have a significant effect on the preform shape memory behavior. The introduction of the silicone elastomer matrix greatly enhances the shape Recovery force, shape Recovery ratio, as well as radial compressive failure load of the 4D printed preform/silicone elastomer matrix composite. Building on these results, a potential application for 4D printed textile functional composites is presented.
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Shape-memory polymers - A class of novel smart materials
MRS Bulletin, 2009Co-Authors: Jinsong Leng, Wei Min Huang, Haibao Lu, Yanju Liu, Shanyi DuAbstract:Shape-memory polymers (SMPs) offer a number of potential technical advantages that surpass other shape-memory materials such as shape-memory metallic alloys and shape-memory ceramics. The advantages include high recoverable strain (up to 400%), low density, ease of processing and the ability to tailor the Recovery Temperature, programmable and controllable Recovery behavior, and more importantly, low cost. This article presents the state-of-the-art regarding SMPs. First, the architecture, type, and main properties of the traditional and recently developed SMPs are introduced. Second, structural and multifunctional SMP composites are summarized and discussed. These composites greatly enhance the performance of the SMPs and widen their potential applications. Finally, current applications of SMP materials in aerospace engineering, textiles, automobiles, and medicine are presented.
Peter X - One of the best experts on this subject based on the ideXlab platform.
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dopamine incorporated dual bioactive electroactive shape memory polyurethane elastomers with physiological shape Recovery Temperature high stretchability and enhanced c2c12 myogenic differentiation
ACS Applied Materials & Interfaces, 2017Co-Authors: Xin Zhao, Ruonan Dong, Peter XAbstract:Soft tissue engineering needs elastic biomaterials not only mimicking the elasticity of soft tissue but also possessing multiple bioactivity to promote cell adhesion, proliferation, and differentiation, which still remain ongoing challenges. Herein, we synthesized a series of dopamine-incorporated dual bioactive electroactive shape memory polyurethane elastomers by combining the properties of elastomeric poly(citric acid-co-polycaprolactone) (CA-PCL) polyurethane elastomer, bioactive dopamine (DA), and electroactive aniline hexamer (AH). The chemical structures, electroactivity, conductivity, thermal properties, hydrophilicity and hydration ability, mechanical properties, and degradability of the polyurethane elastomers were systematically characterized. The elastomers showed excellent shape fixity ratio and shape Recovery ability under physiological conditions. The elastomers’ elongation and stress were tailored by the AH content, whereas the hydrophilicity and hydration ability of the elastomers were ad...
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stretchable degradable and electroactive shape memory copolymers with tunable Recovery Temperature enhance myogenic differentiation
Acta Biomaterialia, 2016Co-Authors: Zexing Deng, Ruonan Dong, Xin Zhao, Yi Guo, Baolin Guo, Peter XAbstract:Abstract Development of flexible degradable electroactive shape memory polymers (ESMPs) with tunable switching Temperature (around body Temperature) for tissue engineering is still a challenge. Here we designed and synthesized a series of shape memory copolymers with electroactivity, super stretchability and tunable Recovery Temperature based on poly(e-caprolactone) (PCL) with different molecular weight and conductive amino capped aniline trimer, and demonstrated their potential to enhance myogenic differentiation from C2C12 myoblast cells. We characterized the copolymers by Fourier transform infrared spectroscopy (FT-IR), proton nuclear magnetic resonance (1H NMR), cyclic voltammetry (CV), ultraviolet–visible spectroscopy (UV–vis), differential scanning calorimetry (DSC), shape memory test, tensile test and in vitro enzymatic degradation study. The electroactive biodegradable shape memory copolymers showed great elasticity, tunable Recovery Temperature around 37 °C, and good shape memory properties. Furthermore, proliferation and differentiation of C2C12 myoblasts were investigated on electroactive copolymers films, and they greatly enhanced the proliferation, myotube formation and related myogenic differentiation genes expression of C2C12 myoblasts compared to the pure PCL with molecular weight of 80,000. Our study suggests that these electroactive, highly stretchable, biodegradable shape memory polymers with tunable Recovery Temperature near the body Temperature have great potential in skeletal muscle tissue engineering application. Statement of Significance Conducting polymers can regulate cell behavior such cell adhesion, proliferation, and differentiation with or without electrical stimulation. Therefore, they have great potential for electrical signal sensitive tissue regeneration. Although conducting biomaterials with degradability have been developed, highly stretchable and electroactive degradable copolymers for soft tissue engineering have been rarely reported. On the other hand, shape memory polymers (SMPs) have been widely used in biomedical fields. However, SMPs based on polyesters usually are biologically inert. This work reported the design of super stretchable electroactive degradable SMPs based on polycaprolactone and aniline trimer with tunable Recovery Temperature around body Temperature. These flexible electroactive SMPs facilitated the proliferation and differentiation of C2C12 myoblast cells compared with polycaprolactone, indicating that they are excellent scaffolding biomaterials in tissue engineering to repair skeletal muscle and possibly other tissues.
Wei Zhang - One of the best experts on this subject based on the ideXlab platform.
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shape memory behavior and Recovery force of 4d printed laminated miura origami structures subjected to compressive loading
Composites Part B-engineering, 2018Co-Authors: Xin Lan, Chase Cotton, Fenghua Zhang, Jinsong Leng, Wei Zhang, Yang Liu, Shuang Liu, Xinqiao Jia, Baozhong SunAbstract:Abstract Four-dimensionally (4D) printed origami structures have great potential for applications in actuators and reconfigurable devices by taking the advantages of 3D printing technology and shape memory polymers. This study focuses on the shape Recovery progression of 4D printed laminated Miura-origami tessellations and tubes under compressive load-induced unfolding and folding. Recovery forces of the specimens are characterized by dynamic mechanical analysis (DMA) experiments. The shape Recovery behavior and Recovery force are significantly influenced by the shape Recovery Temperature and loading pattern. The high shape Recovery capability of the specimens are signified by the shape Recovery ratio of over 94% and volume changes of up to 289%. Lastly, the actuator application of a 4D printed laminated Miura-origami structure has been demonstrated.
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Shape memory behavior and Recovery force of 4D printed textile functional composites
Composites Science and Technology, 2018Co-Authors: Wei Zhang, Xin Lan, Taylor M. Bryson, Amanda S Wu, Chase Cotton, Fenghua Zhang, Jinsong Leng, Bohong Gu, Baozhong SunAbstract:Four-dimensional (4D) printing of multi-directionally reinforced preforms has tremendous potential for the development of next generation functional composites by using the capabilities of 3D printing technology, 3D textile preform design, and polymer shape memory behavior. This work demonstrates the shape memory behavior and Recovery force of 4D printed circular braided tube preforms and their silicone elastomer matrix composites. The preforms were printed by fused deposition modeling using the shape memory polymer (SMP), polylactic acid (PLA). The effects of braiding angle, tube wall thickness, and shape Recovery Temperature on the shape memory behavior of 4D printed tube preforms and their silicone elastomer matrix composites have been characterized. Measurements of shape Recovery forces of the preform and composite were conducted using dynamic mechanical analysis (DMA). The braided microstructural parameters and shape Recovery Temperature have a significant effect on the preform shape memory behavior. The introduction of the silicone elastomer matrix greatly enhances the shape Recovery force, shape Recovery ratio, as well as radial compressive failure load of the 4D printed preform/silicone elastomer matrix composite. Building on these results, a potential application for 4D printed textile functional composites is presented.