Adaptive Division and Analysis Data Extraction of Air-Cooled Turbine Blade for Pipe Network Calculation
Manually preparing the data for the analysis of the calculation of a pipe network of air-cooled turbine blades is inefficient. In this paper, a method to adaptively divide the blade model and extract data of the flow units is proposed. In this method, the topological lines of the flow channels for t...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Aerospace |
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| Online Access: | https://www.mdpi.com/2226-4310/10/3/284 |
| _version_ | 1827751990500786176 |
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| author | Tian Wang Zhenbo Liu Jixing Li Yu Liu Xingyu Ma Jiong Yang |
| author_facet | Tian Wang Zhenbo Liu Jixing Li Yu Liu Xingyu Ma Jiong Yang |
| author_sort | Tian Wang |
| collection | DOAJ |
| description | Manually preparing the data for the analysis of the calculation of a pipe network of air-cooled turbine blades is inefficient. In this paper, a method to adaptively divide the blade model and extract data of the flow units is proposed. In this method, the topological lines of the flow channels for the calculations of the pipe network were extracted based on the simulatedfluid flow. The abstracted lines of the fluid flow area were used to replace the manual interpretation of expertsto realize the adaptive division of the flow units and to understand the connection relationship of the units and the layout of the spatial network. In addition, by establishing a basic flow unit library and constructing a specific algorithm, we quickly extracted the data from the typical flow units. Finally, the proposed method and algorithm were verified with a representative case study. The results illustrated that our method could cut down the pre-processing in the calculation of the pipe network of air-cooled turbine blades to several minutes from the several hours required for the manual method while providing reliable quality. |
| first_indexed | 2024-03-11T07:04:43Z |
| format | Article |
| id | doaj.art-61cbbfea347a448eb6a6be442b7d09c3 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-11T07:04:43Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-61cbbfea347a448eb6a6be442b7d09c32023-11-17T08:58:56ZengMDPI AGAerospace2226-43102023-03-0110328410.3390/aerospace10030284Adaptive Division and Analysis Data Extraction of Air-Cooled Turbine Blade for Pipe Network CalculationTian Wang0Zhenbo Liu1Jixing Li2Yu Liu3Xingyu Ma4Jiong Yang5CRRC Academy Corporation Limited, Beijing 100070, ChinaCRRC Academy Corporation Limited, Beijing 100070, ChinaAVIC Digital Corporation Limited, Beijing 100028, ChinaCRRC Academy Corporation Limited, Beijing 100070, ChinaSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, ChinaManually preparing the data for the analysis of the calculation of a pipe network of air-cooled turbine blades is inefficient. In this paper, a method to adaptively divide the blade model and extract data of the flow units is proposed. In this method, the topological lines of the flow channels for the calculations of the pipe network were extracted based on the simulatedfluid flow. The abstracted lines of the fluid flow area were used to replace the manual interpretation of expertsto realize the adaptive division of the flow units and to understand the connection relationship of the units and the layout of the spatial network. In addition, by establishing a basic flow unit library and constructing a specific algorithm, we quickly extracted the data from the typical flow units. Finally, the proposed method and algorithm were verified with a representative case study. The results illustrated that our method could cut down the pre-processing in the calculation of the pipe network of air-cooled turbine blades to several minutes from the several hours required for the manual method while providing reliable quality.https://www.mdpi.com/2226-4310/10/3/284turbine bladeheat transfer designpipe network calculationadaptive division |
| spellingShingle | Tian Wang Zhenbo Liu Jixing Li Yu Liu Xingyu Ma Jiong Yang Adaptive Division and Analysis Data Extraction of Air-Cooled Turbine Blade for Pipe Network Calculation Aerospace turbine blade heat transfer design pipe network calculation adaptive division |
| title | Adaptive Division and Analysis Data Extraction of Air-Cooled Turbine Blade for Pipe Network Calculation |
| title_full | Adaptive Division and Analysis Data Extraction of Air-Cooled Turbine Blade for Pipe Network Calculation |
| title_fullStr | Adaptive Division and Analysis Data Extraction of Air-Cooled Turbine Blade for Pipe Network Calculation |
| title_full_unstemmed | Adaptive Division and Analysis Data Extraction of Air-Cooled Turbine Blade for Pipe Network Calculation |
| title_short | Adaptive Division and Analysis Data Extraction of Air-Cooled Turbine Blade for Pipe Network Calculation |
| title_sort | adaptive division and analysis data extraction of air cooled turbine blade for pipe network calculation |
| topic | turbine blade heat transfer design pipe network calculation adaptive division |
| url | https://www.mdpi.com/2226-4310/10/3/284 |
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