3. INTERNATIONAL MARMARA SCIENTIFIC RESEARCH AND INNOVATION CONGRESS, İstanbul, Türkiye, 19 - 20 Kasım 2022, cilt.1, sa.1, ss.1
In recent years, smart and
functional materials development has gained significant value with studies in
materials science. Materials with self-healing properties, known as smart
materials, autonomously repair the damage caused by external loading and time-related
effects on the structure. These materials are used in many areas, such as
automotive, aerospace, shipbuilding, and wind turbine blades. These materials,
which contribute to prolonging the service life with the prominence of the
studies on sustainability and increase the strength without manual
intervention, are vital in eliminating the defects in the structures by helping
to repair micro and macro cracks. Self-healing materials inspired by natural
healing processes are required to repair structural damage independently.
Vascular systems, which provide cyclic healing in areas where multiple healing
is desired, provide structural healing in the areas where damage occurs by
transporting the healing agent over a long distance in the crack and delivering
large volumes of healing agent to the crack. The vascular system, placed in
areas where damage is expected, maintains its integrity and provides healing.
This indicates that the vascular systems can repair large volumes of damage. In
this study, vascular network structure was obtained by using PVDF and
polyolefin-based hollow thin tubes. Cyanoacrylate and epoxy were used as curing
agents and matrix materials, respectively. Sodium carbonate was added to the
matrix as an activator, which allowed the curing agent to cure quickly. On the
thin tubes intended to serve as a vascular structure, holes were pierced with a
needle, allowing the agent in the structure to leak into the cracks created in
the matrix. Instant improvements were observed with cyanoacrylate leaking into
micro and macro cracks.
Keywords: Self-healing materials,
Vascular system, Epoxy resin, Cyanoacrylate
Acknowledgment: This study is supported by
TUBITAK (The Scientific and Technological
Research Council of Turkey) via
TEYDEB-1505 PROGRAM, Project Number: 5220011.