Abstract:
Self-stratifying coatings with self-healing capabilities are an advanced class of materials that
improve surface durability and functioning. Self-stratifying coatings are designed to produce
distinct layers upon application, each with unique qualities that address various functional
requirements. This stratification is often caused by variances in the physical and chemical
characteristics of the components in the coating composition. These coatings typically have
three layers: top, middle, and bottom. However, self-healing coatings may fix damage on
their own, increasing the coating's lifespan and performance. Combining self-stratification
with self-healing capabilities entails creating a coating that can layer itself during application
and repair itself if damaged. This necessitates a synergistic design in which each layer
contributes to the overall self-healing capabilities while retaining its own features. Each layer
can be equipped with unique self-healing processes. For example, the top layer may have
UV-resistant, self-healing polymers, while the bottom layer could have microencapsulated
corrosion inhibitors. The self-healing components must be stratification-compatible, so that
they migrate to the appropriate layer during application. Such coatings are extremely
beneficial in industries that require long-term dependability and durability, such as
automotive, aerospace, electronics, and infrastructure. Self-stratifying coatings with selfhealing
capabilities provide a smart approach for improving surface durability and usefulness.
These coatings can greatly increase the service life of covered substrates and minimize
maintenance costs by carefully designing their materials and including innovative healing
processes.
Furthermore, strain sensors with self-healing properties are sophisticated devices designed to
detect mechanical deformations (such as stretching, compressing, and twisting) and repair
themselves autonomously after being damaged. These sensors are crucial for structural health
monitoring, wearable electronics, soft robotics, and a variety of other industries that require
durability and dependability. Strain sensors with self-healing characteristics represent a
significant improvement in sensor technology, providing increased durability and
dependability for a wide range of important applications. Ongoing research strives to enhance
the materials and systems involved in these sensors' performance and practical application.
Furthermore, self-assembly of inorganic-organic hybrids, particularly those combining
polyoxometalates (POMs) and polymers, is a promising area of materials research. These
hybrid materials combine the distinct features of inorganic POM clusters with the adaptability
of organic polymers, resulting in several applications in catalysis, energy storage, and nanotechnology. POM-polymer hybrids can self-assemble by a variety of interactions and
mechanisms, including hydrogen bonding, electrostatic interactions, covalent and coordinate
bonds, hydrophobic interactions, and so on. Self-assembly of inorganic-organic hybrids of
polyoxometalates and polymers results in multifunctional materials with improved and
controllable characteristics. These hybrids show promise for a variety of sophisticated
applications, including catalysis, energy storage, drug delivery, and sensing. The ongoing
study focuses on understanding and directing self-assembly processes to customize the
characteristics of these hybrid materials to specific applications.
This doctorate thesis aims to create self-stratifying polymers with self-healing characteristics
for coating purposes. Self-assembly with increasing multifunctional physical and mechanical
features. The thesis is structured into six chapters that focus on the scope and use of selfhealing
and self-assembly polymers with specialized functionality for a variety of
applications.
Chapter 1. Introduction
This chapter describes the backdrop and inspiration for the thesis. This chapter provides a
review of self-stratifying, self-healing, and strain-sensing polymeric systems, including their
physical and mechanical characteristics. In this section, we will go over the core concept and
technique of the self-stratification coating, which has good mechanical qualities. Also
mentioned are self-healing functional groups, which extend the self-life of the material.
Furthermore, a detailed discussion of self-healable ion gels and their applications in gauge
strain sensors is provided, as well as a measurement of strain sensor sensitivity. Furthermore,
addresses the self-assembly of organic-inorganic hybrids and their applications in underwater
adhesives. This chapter discusses the design opportunities for self-healing polymers in a
variety of applications, as well as the strong physical and mechanical qualities, as well as the
quick, efficient, multiple-time self-healing achieved by including numerous chemical
functions. Chapter 2. Siloxane and Fluorous polymers for self-stratified Coating with
Multiresponsive Self-Healing Properties
This chapter discussed the use of the self-stratification idea in coating due to the incompatible
behavior of two separate functional groups. In this case, siloxane and fluorous polymers are
incompatible and organize themselves in layers. Thiol and cinnamyl groups were inserted as
healing agents to extend the self-life of the material. The study also examined the selfstratification,
thermal stability, tensile characteristics, phase transition, surface
hydrophobicity, nano dynamic mechanical properties, and self-healing capability of
crosslinked copolymers. Chapter 3a. PVA-Tannic acid and oligosiloxane-based self-stratified coating
with self-healing properties
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This chapter examined the usage of self-stratification in the coating due to the diffusion of the
particles in two different layers in a mixture of solvents. PVA, TA (tannic acid), and
oligosiloxanes self-assemble into large and small particles. Smaller particles, due to their
increased mobility, are more likely to reach and aggregate at the top of the drying layer,
whereas larger particles, with slower diffusion, trail behind and tend to remain deeper and
arrange into a self-stratification layer. This material has high chemical and mechanical
strength, as demonstrated by numerous characterizations. Chapter 3b. Poly(vinylalcohol)-Oligosiloxanes-Borate based hybrid polymer for
self-healing applications
In this chapter describes the explores boric acid-based self-healing in siloxane and PVA
hybrid networks. We synthesize tricoordinated borate-based self-healing polymers. Siloxane,
PVA, and boric acid formed the double network structure; boric acid links with both siloxane
and PVA. This hybrid material self-heals for 4 minutes in the presence of water at 40 °C. This
hybrid has mechanical strength measured by universal tensile testing (UTM) as well as
thermal stability, phase transition, and surface properties examined. Chapter 4. PVIM-PPA based self-healed ionogel with superior toughness and
strain-sensing applications
This chapter described the self-healing ionogels for strain-sensing applications. In this work,
we sought to build an ionogel made of poly(vinyl imidazolium) [PVIMH]n+ and
polyphosphate anion [PPA]n-, with electrostatic interactions and hydrogen bonding to self-heal
the material. The presence of phosphate anion has flame retardant properties, as proved
experimentally by UL-94 and synthesized ionogel has been successfully employed as a
strain-sensor to detect diverse human activities as a wearable device. Chapter 5. POM-Polymer hybrid fabricated into a rope-like structure and
utilized in underwater applications
In this chapter, describes the self-assembly of the polyoxometalates (POM) and polymerbased
hybrid (PEI-hexyl-Br) [Co-WCo3] were assembled in a rope-like structure in methanol
solvent, which provided underwater adhesive characteristics owing to the existence of
electrostatic interactions and hydrogen bonding. Initially, self-assembly was analysed by the
DLS and zeta potential and further examined by the FESEM and cryo-TEM. Chapter 6. Summary and Future Aspects
This chapter focuses on the results of this thesis as well as potential future prospects in the
connected topic.