Optoelectronic discrete-phase converter for automated control systems of geometric parameters of the surface of gas turbine engine blades

Gas turbine engine blades are products with a complex spatial configuration that requires high manufacturing precision, which in turn is determined by the complex overall balance between aerodynamic, strength characteristics and production and technological requirements. During the production of blades, the surface profile in various sections of the blade airfoil is subject to control, among others. Deviations in the shape of the theoretical section and the installation angle of the profile lead in practice to a deviation of the natural vibration frequency of the blades from the calculated values. Increasing the accuracy of geometry control in the technological process of manufacturing gas turbine engine blades is in demand and important. A measuring device developed by Samara University is briefly described: an optoelectronic discrete-phase converter (OEDPC), which is designed for non-contact determination of geometric parameters – the profile and curvature of gas turbine engine blades. The implementation of the OEDPC is based on a method for determining the parameters of the surface geometry of a gas turbine engine blade, which consists in measuring the deviations in time of the position of the maximum information signal from the reference one and makes it possible to increase the accuracy of determining the profile and curvature of the blade airfoil while maintaining performance at the level of the best examples of optoelectronic converters of a complex-profile surfaces.

Authors

Institutions

Publication Details

Journal
Journal of Dynamics and Vibroacoustics
Published
2024-11-20
DOI
https://doi.org/10.18287/2409-4579-2024-10-3-99-110
Primary Topic
Optics and Image Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optoelectronic discrete-phase converter for automated control systems of geometric parameters of the surface of gas turbine engine blades

А. Б. Прокофьев, Anton Chernyavskiy, Sergey Danilin, А. И. Данилин
Journal of Dynamics and Vibroacoustics
Optics and Image Analysis
article

Optoelectronic discrete-phase converter for automated control systems of geometric parameters of the surface of gas turbine engine blades

А. Б. Прокофьев, Anton Chernyavskiy, Sergey Danilin, А. И. Данилин
article en

Abstract

Gas turbine engine blades are products with a complex spatial configuration that requires high manufacturing precision, which in turn is determined by the complex overall balance between aerodynamic, strength characteristics and production and technological requirements. During the production of blades, the surface profile in various sections of the blade airfoil is subject to control, among others. Deviations in the shape of the theoretical section and the installation angle of the profile lead in practice to a deviation of the natural vibration frequency of the blades from the calculated values. Increasing the accuracy of geometry control in the technological process of manufacturing gas turbine engine blades is in demand and important. A measuring device developed by Samara University is briefly described: an optoelectronic discrete-phase converter (OEDPC), which is designed for non-contact determination of geometric parameters – the profile and curvature of gas turbine engine blades. The implementation of the OEDPC is based on a method for determining the parameters of the surface geometry of a gas turbine engine blade, which consists in measuring the deviations in time of the position of the maximum information signal from the reference one and makes it possible to increase the accuracy of determining the profile and curvature of the blade airfoil while maintaining performance at the level of the best examples of optoelectronic converters of a complex-profile surfaces.

Journal of Dynamics and VibroacousticsVol. 10(3)
Samara National Research University (RU)
Affordable and clean energy
Openalex Percentile: Top 68%
Optics and Image Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.