Shape Memory Corrosion-Resistant Polymeric Materials

Jacobson, Nathan D.; Iroh, Jude O.

doi:10.1155/2021/5558457

Cited by 6 publications

(2 citation statements)

References 60 publications

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“…A major advantage for the use of microcapsules with self-healing capabilities include their small size scale, requiring minimal material usage. It is noted that self-healing is a two-step process in which the microcapsules are initially deployed to form a passive thin film that provides a barrier against corrosion; subsequently, the polymer, after thermal annealing, can produce the shape memory response to heal the deformation or fracture [ 28 , 29 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

Self-Healing Poly(urea formaldehyde) Microcapsules: Synthesis and Characterization

Kothari

Iroh

2023

Polymers

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Smart coatings and smart polymers have been garnering great interest in recent times due to their novel characteristics, such as being self-restoring, self-cleaning, and self-healing. However, most self-healing materials have a low glass transition temperature (Tg) and are inadequate for the repair of advanced composites. Because of their low Tg, the conventional self-healing materials plasticize and weaken the composites. In this study, moderate to high temperature self-healing microcapsules, capable of healing and thus stopping crack propagation, are prepared. The microcapsules were prepared using a two-step process involving the synthesis of poly(urea formaldehyde) (PUF) prepolymer, followed by the encapsulation of hexamethylene diisocyanate (HDI) in an oil-in-water emulsion to form a crosslinked PUF shell. Diisocyanates are of particular interest as self-healing encapsulants because of their diversity of structure and fast rate of hydrolysis. Successful encapsulation was verified by Fourier transform infrared spectroscopy (FTIR) and optical microscopy. Thermogravimetric analysis (TGA) was used to characterize the thermal properties of microcapsules. The onset temperature for microcapsule degradation varied from 155 °C to 195 °C. Dynamic mechanical analysis (DMA) was used to determine the thermomechanical response of microcapsule/epoxy films. DMA showed that the glass transition temperature (Tg) of the epoxy/microcapsule composite was greater than the Tg for neat epoxy and varied between 34 and 65 °C. The TGA analysis of the epoxy/microcapsule composite shows that the thermal stability and char retention of the epoxy/microcapsule composite increased and the low temperature decomposition peak at 150 °C, associated with the microcapsule, disappeared after the DMA test, indicating the occurrence of a reaction between HDI and the epoxy to form a crosslinked polyurea network structure.

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Section: Introductionmentioning

confidence: 99%

Self-Healing Poly(urea formaldehyde) Microcapsules: Synthesis and Characterization

Kothari

Iroh

2023

Polymers

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“…Additive Manufacturing, Metallurgical Technologies and Materials Processing used to create adaptive and responsive systems. For example, robots could adjust their form to better navigate their environment or interact with objects [36]. Smart Textiles: In the field of smart textiles, fabrics could be developed that change their properties (such as permeability or insulation) in response to changes in their environment [37].…”

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confidence: 99%

Design and Optimization of 4D Printed Carbon Fiber Reinforced Poly Lactic Acid Parts Using Fused Deposition Modeling for Shape Memory Applications: A Taguchi Approach

Venkatesh,

Krishna,

Kiran

et al. 2023

MSF

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The manufacturing industry has witnessed substantial interest in the advancement of 4D printing technology in recent years. This technology has enabled the production of complex structures with enhanced functionality and adaptability. Fused Deposition Modeling (FDM) has become a preferred technique for 4D printing due to its ease of use, affordability, and versatile nature. To achieve efficient and effective 4D printing, the process parameters must be optimised to ensure the desired shape recovery behaviour of the printed parts. The main objective of this study is to optimize the process parameters for the production of 4D printed components using FDM technology and Carbon Fiber reinforced Poly Lactic Acid (CF/PLA) Shape Memory Polymer Composites (SMPCs). This study examines the shape recovery properties of the printed components by modifying the process parameters, including Infill Density (ID), Geometrical Thickness (GT), and Bending Angle (BA), through the implementation of Design of Experiments (DOE) L9 Orthogonal Array (OA). Utilizing Analysis of Variance (ANOVA) to determine the significant factors and their optimum levels, the process parameters are statistically analysed. The results indicate that ID and GT are the statistically significant parameters, and the optimum levels for parameters includes 20% ID, 1.5mm GT, and 300 BA led to faster shape recovery. This study demonstrates the effectiveness of the Taguchi approach in the design and optimization of the process parameters for 4D printed parts using FDM.

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Development of Mechanically Responsive Self‐reporting Coating

2024

Smart Protective Coatings for Corrosion Control

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Shape Memory Corrosion-Resistant Polymeric Materials

Cited by 6 publications

References 60 publications

Self-Healing Poly(urea formaldehyde) Microcapsules: Synthesis and Characterization

Self-Healing Poly(urea formaldehyde) Microcapsules: Synthesis and Characterization

Design and Optimization of 4D Printed Carbon Fiber Reinforced Poly Lactic Acid Parts Using Fused Deposition Modeling for Shape Memory Applications: A Taguchi Approach

Development of Mechanically Responsive Self‐reporting Coating

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