Actual Problems in Machine Building. Vol. 11. N 3-4. 2024 Materials Science in Machine Building ____________________________________________________________________ 76 STRAIN GAUGE TRANSDUCERS BASED ON ELASTOMERS MODIFIED WITH MICRO- AND NANOSIZED PARTICLES WITH CONTROLLED SENSITIVITY TO MEASURABLE IMPACTS Zemtsova N.V.1, Post-graduate Student, e-mail: natasha_paramonova_68@mail.ru Shchegolkov A.V.1, Ph.D. (Engineering), Associate Professor, e-mail: energynano@yandex.ru Shchegolkov A.V.2, Ph.D. (Engineering), e-mail: alexxx5000@mail.ru 1 Tambov State Technical University, 106 Sovetskaya st., Tambov, 392000, Russian Federation 2 Moscow Polytechnic University, 38 Bolshaya Semyonovskaya str., Moscow, 107023, Russian Federation Abstract The paper shows the possibility of using a new type of strain gauge transducer based on elastomers modified with micro- and nanoscale particles (conductive filler) with controlled sensitivity to measured effects for measuring cavitation processes in liquids. The strain gauge transducers were made of elastomer modified with bronze microparticles and multi-wall carbon nanotubes (MWCNTs). The physical principle of the developed strain gauge transducer is based on the change in the electrical resistance ΔR of the composite from periodic exposure of the measured medium to the composite, resulting in a change in the distance between the network of agglomerated MWCNTs in its conducting phase. This phenomenon is based on the change of parameters of the tunneling effect of electrons, which depends on the contact and distance between individual MWCNTs and bronze particles. In this case, the content of bronze microparticles affected the overall electrical conductivity of the composite. As the repetition frequency increased or the amplitude of the mechanical action on the strain gauge transducer changed, signals proportional to these actions were generated. The concentration of the conductive filler was varied to control the sensitivity of the strain gauge transducer. Keywords strain gauge transducer; elastomer; cavitation; multi-wall carbon nanotubes (MWCNTs); bronze microparticles; neural network.
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