DESIGN AND MANUFACTURING OF MICROMIRRORS FOR A FIBER-OPTIC ACCELERATION SENSOR WITH PULSE MODULATION OF OPTICAL FLOW

Abstract

This work examines three types of micro-mirrors for optical systems of a fiber-optic accelerometer with pulse modulation of optical flow intensity. A micro-mirror created by laser engraving; a convex micro-mirror obtained by polishing a metal rod; and a cylindrical concave micro-mirror, created using an imprint of optical fiber. The research focuses on analyzing the quality of light reflection by each type of mirror and their practical applicability in optical systems. Conclusions are based on experimental data and analysis of the characteristics of the obtained signals. Micromirrors have become an integral part of modern optical and optoelectrical systems, opening new horizons in the precise control of light beams. Their versatility allows them to be used in a variety of contexts, from optical arrays for laser guidance to space missions where they contribute to Earth observations from the International Space Station and other satellites. Particular attention is paid to the development of micromirrors with controlled three-dimensional curvature, which can not only redirect, but also separate light beams in space. Laser engraving provides high-precision processing capabilities suitable for the production of such micromirrors. The study created a glass-based micromirror with two orthogonal etched lines. In our study, we examined three types of micromirrors: laser-etched, cylindrical convex, and cylindrical concave to determine their effect on optical signal quality. Micromirrors produced by laser engraving are cost-effective and easy to manufacture. The concave cylindrical micromirror concentrates the light beam, optimizing the signal-to-noise ratio and reducing the possibility of errors. On the other hand, a convex micromirror scatters light but can theoretically improve the signal-to-noise ratio under certain conditions. Selecting the optimal micromirror requires analysis of experimental data.