Research Information System
IV. INTERNATIONAL SCIENTIFIC COMPILATION RESEARCH CONGRESS, Ankara, Turkey, 2 - 03 September 2025, pp.290-291, (Summary Text)
This study aims to review and evaluate the current
literature on the structural behavior of textile composites impregnated with
shear-thickening fluids (STFs) under low-speed impact loads. STFs are
intelligent systems that attract attention, particularly for energy absorption
and impact resistance, due to the increase in viscosity that occurs in their
rheological structures in response to stress. The development of lightweight,
flexible, and high-impact-resistant textile composites is of great importance,
especially in the defense and security sectors. In this context, STFs play an
important role in the development of high-performance textile surfaces widely
used in military and industrial applications. In recent years, the potential
for using these systems in personal protective equipment (such as ballistic
vests and protective garments) has increased significantly.
In this study, the components, thickening mechanisms,
and rheological properties of STF systems are first examined. Subsequently, the
performance of composite structures obtained by impregnating these liquids into
different textile surfaces such as aramid, glass fiber, and natural fibers is
compared and evaluated under low-speed impact tests (quasi-static impact test
and low-speed impact test). In these tests, criteria such as energy absorption,
maximum force, and displacement amount are taken into account.
Literature findings reveal that parameters such as
particle size, concentration ratio, and fabric type are decisive in impact
behavior. However, issues such as the diversity of test protocols, the
comparability of results, and the lack of standardization also draw attention.
Furthermore, inconsistencies between the results of some studies highlight the
importance of methodological differences in this field. This study aims to
synthesize the existing body of knowledge in the field and identify potential research
gaps that could guide future experimental and numerical investigations.