Abstract
The article proposes a new approach for evaluating roughness of the profile surface of gas turbine engine blade airfoils after vibratory polishing. An optical electronic unit was used to study microgeometry of blade suction and pressure sides: video imagery of the surface was processed using computer methods to obtain the average amplitude of the autocorrelation function variable component. The applied optical electronic method of evaluating microgeometry of compressor/turbine blades allows obtaining fields of surface roughness and tension concentration coefficients as well as analyzing the finish machining technology to a greater depth.
Highlights
Nowadays, the machine building technology takes on a new level which requires creation of a scientific basis for systematic development of new technological processing and control methods
One of the most important characteristics of the gas turbine engine (GTE) blade surface quality is a microrelief of its working surface: reliability and durability parameters of many blades depend on a pattern of microgeometric deviations of their working surfaces [1]
The analysis has shown the most promising to use are twin criteral functions and binary images
Summary
The machine building technology takes on a new level which requires creation of a scientific basis for systematic development of new technological processing and control methods. Such methods include mechanical, physical, and chemical methods to ensure required operation qualities of gas turbine engine (GTE) parts as well as to develop a module-based principle of technological process organization. A particular attention is given to development of new research areas such as computer-based smart process environments or diagnostic & control systems for figurine-shaped parts. Progress in this area can substantially advance the methodology of GTE surface control. Surface roughness areas are hotspots of tensions and are one of the reasons for fatigue resistance degradation: tension at the bottom of a groove mark is 2–2.5 times higher than average on the surface layer
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