A Study on Direct Machining of Turbine Blades from Point Cloud Data
This paper presents research results on direct machining of Turbine blades in Turbocharger from point cloud data. In the study, the ATOS Core 80 scanner was used to create a point cloud file from the parts of the compression Turbine blades of the sample Turbocharger. From the point cloud data file,...
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| Định dạng: | Bài trích |
| Ngôn ngữ: | English |
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Springer
2022
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| Truy cập trực tuyến: | https://link.springer.com/chapter/10.1007/978-3-030-99666-6_41 https://dlib.phenikaa-uni.edu.vn/handle/PNK/5938 https://doi.org/10.1007/978-3-030-99666-6_41 |
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oai:localhost:PNK-59382022-08-17T05:54:40Z A Study on Direct Machining of Turbine Blades from Point Cloud Data Ta, Van Ranh Le, Hong Ky Tran, Vinh Hung Inspect Modeling This paper presents research results on direct machining of Turbine blades in Turbocharger from point cloud data. In the study, the ATOS Core 80 scanner was used to create a point cloud file from the parts of the compression Turbine blades of the sample Turbocharger. From the point cloud data file, without any processing, the machining code is programmed using Inventor Professional software. The 5-axis HASS VF2 CNC milling machine is used to perform the machining steps. To evaluate the accuracy of machining parts compared with sample parts, the CMM coordinate measuring machine is used, and the original point cloud data file is compared with the detailed point cloud data file after processing by GOM Inspect software. The research results show that it is possible to directly machine Turbine blades from point cloud data using Inventor Professional software without processing, but it still achieves high accuracy. 2022-07-13T02:00:00Z 2022-07-13T02:00:00Z 2022 Bài trích https://link.springer.com/chapter/10.1007/978-3-030-99666-6_41 https://dlib.phenikaa-uni.edu.vn/handle/PNK/5938 https://doi.org/10.1007/978-3-030-99666-6_41 en Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
Inspect Modeling |
| spellingShingle |
Inspect Modeling Ta, Van Ranh Le, Hong Ky Tran, Vinh Hung A Study on Direct Machining of Turbine Blades from Point Cloud Data |
| description |
This paper presents research results on direct machining of Turbine blades in Turbocharger from point cloud data. In the study, the ATOS Core 80 scanner was used to create a point cloud file from the parts of the compression Turbine blades of the sample Turbocharger. From the point cloud data file, without any processing, the machining code is programmed using Inventor Professional software. The 5-axis HASS VF2 CNC milling machine is used to perform the machining steps. To evaluate the accuracy of machining parts compared with sample parts, the CMM coordinate measuring machine is used, and the original point cloud data file is compared with the detailed point cloud data file after processing by GOM Inspect software. The research results show that it is possible to directly machine Turbine blades from point cloud data using Inventor Professional software without processing, but it still achieves high accuracy. |
| format |
Bài trích |
| author |
Ta, Van Ranh Le, Hong Ky Tran, Vinh Hung |
| author_facet |
Ta, Van Ranh Le, Hong Ky Tran, Vinh Hung |
| author_sort |
Ta, Van Ranh |
| title |
A Study on Direct Machining of Turbine Blades from Point Cloud Data |
| title_short |
A Study on Direct Machining of Turbine Blades from Point Cloud Data |
| title_full |
A Study on Direct Machining of Turbine Blades from Point Cloud Data |
| title_fullStr |
A Study on Direct Machining of Turbine Blades from Point Cloud Data |
| title_full_unstemmed |
A Study on Direct Machining of Turbine Blades from Point Cloud Data |
| title_sort |
study on direct machining of turbine blades from point cloud data |
| publisher |
Springer |
| publishDate |
2022 |
| url |
https://link.springer.com/chapter/10.1007/978-3-030-99666-6_41 https://dlib.phenikaa-uni.edu.vn/handle/PNK/5938 https://doi.org/10.1007/978-3-030-99666-6_41 |
| _version_ |
1751856318542512128 |
| score |
8.887836 |