Development of a Methodology for Generating Solid 3D Models of Gas Turbine Engine Components Using the 3D Scanning

A methodology was developed for generating solid 3D models of various gas turbine engine components with dimensions ranging from 40×40×40 mm to 500×500×500 mm. The combustion chamber casing of the Capstone C65 micro gas turbine unit was investigated whose geometric characteristics and operating principle are close to those of the combustion chamber casings of auxiliary power units and turbojet engines of unmanned aerial vehicles. Based on the results of the study, a methodology was developed that includes the determination of optimal 3D scanning parameters in order to reduce the scanning time and improve polygonal mesh detailing. Recommendations are provided for determining geometric parameters and constructing solid 3D models in the process of reverse engineering for gas turbine engine components with an accuracy of ±1 mm

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Publication Details

Journal
Russian Aeronautics
Published
2025-09-01
DOI
https://doi.org/10.3103/s1068799825030237
Primary Topic
Advanced Theoretical and Applied Studies in Material Sciences and Geometry
Type
article
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article

Development of a Methodology for Generating Solid 3D Models of Gas Turbine Engine Components Using the 3D Scanning

S. K. Osipov, G. A. Gertsovskii, I. A. Milyukov, A. N. Vegera et al.
Russian Aeronautics
Advanced Theoretical and Applied Studies in Material Sciences and Geometry
article

Development of a Methodology for Generating Solid 3D Models of Gas Turbine Engine Components Using the 3D Scanning

S. K. Osipov, G. A. Gertsovskii, I. A. Milyukov, A. N. Vegera, A. N. Rogalev
article en

Abstract

A methodology was developed for generating solid 3D models of various gas turbine engine components with dimensions ranging from 40×40×40 mm to 500×500×500 mm. The combustion chamber casing of the Capstone C65 micro gas turbine unit was investigated whose geometric characteristics and operating principle are close to those of the combustion chamber casings of auxiliary power units and turbojet engines of unmanned aerial vehicles. Based on the results of the study, a methodology was developed that includes the determination of optimal 3D scanning parameters in order to reduce the scanning time and improve polygonal mesh detailing. Recommendations are provided for determining geometric parameters and constructing solid 3D models in the process of reverse engineering for gas turbine engine components with an accuracy of ±1 mm

Russian AeronauticsVol. 68(3)
Moscow Power Engineering Institute (RU)
Affordable and clean energy
Openalex Percentile: Top 38%
Advanced Theoretical and Applied Studies in Material Sciences and Geometry
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