Digital Simulation and Analysis of Assembly-Deviation Prediction Based on Measurement Data
For various power equipment items such as aircraft engines and gas turbines with numerous components demanding requirements on processing accuracy and high structural complexity, processing errors tend to cause such problems as assembly rework, forced assembly and prolonged research and development...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/22/12193 |
| _version_ | 1797460367682568192 |
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| author | Ninglu Zhang Yingna Wu Rui Yang Guangping Xie |
| author_facet | Ninglu Zhang Yingna Wu Rui Yang Guangping Xie |
| author_sort | Ninglu Zhang |
| collection | DOAJ |
| description | For various power equipment items such as aircraft engines and gas turbines with numerous components demanding requirements on processing accuracy and high structural complexity, processing errors tend to cause such problems as assembly rework, forced assembly and prolonged research and development cycle. In this paper, the core machine of micro gas turbine is taken as the research object to construct a simulation model of assembly-deviation prediction based on the design tolerance and actual measurement data. Then, an analysis is conducted on the assemblability of the design model and the key factors causing the deviation of the assembly. After conducting deviation calculations and simulation analysis, it was determined that the current mounting position is deemed to be suboptimal. In light of this finding, an optimized solution is proposed, which involves advancing the mounting phase by 0.47 mm. This adjustment effectively resolves the interference issue resulting from the design error. Moreover, the geometry, shape and three-dimensional contour of the key components are measured with high accuracy and precision to identify the key characteristic parameters affecting the outcome of the assembly. With an assembly-deviation-prediction and -analysis model established on the basis of actual measurement data, the results of the assembly-deviation analysis are compared with the outcome of the assembly, showing high consistency. The assembly-deviation-prediction method proposed in this paper on the basis of design tolerance and actual measurement data is applicable to the manufacture of aviation and combustion engines. |
| first_indexed | 2024-03-09T17:04:03Z |
| format | Article |
| id | doaj.art-f173b52664014858bd03d2691608d557 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T17:04:03Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-f173b52664014858bd03d2691608d5572023-11-24T14:26:35ZengMDPI AGApplied Sciences2076-34172023-11-0113221219310.3390/app132212193Digital Simulation and Analysis of Assembly-Deviation Prediction Based on Measurement DataNinglu Zhang0Yingna Wu1Rui Yang2Guangping Xie3Center for Adaptive System Engineering, School of Creativity and Art, ShanghaiTech University, Shanghai 201210, ChinaCenter for Adaptive System Engineering, School of Creativity and Art, ShanghaiTech University, Shanghai 201210, ChinaCenter for Adaptive System Engineering, School of Creativity and Art, ShanghaiTech University, Shanghai 201210, ChinaCenter for Adaptive System Engineering, School of Creativity and Art, ShanghaiTech University, Shanghai 201210, ChinaFor various power equipment items such as aircraft engines and gas turbines with numerous components demanding requirements on processing accuracy and high structural complexity, processing errors tend to cause such problems as assembly rework, forced assembly and prolonged research and development cycle. In this paper, the core machine of micro gas turbine is taken as the research object to construct a simulation model of assembly-deviation prediction based on the design tolerance and actual measurement data. Then, an analysis is conducted on the assemblability of the design model and the key factors causing the deviation of the assembly. After conducting deviation calculations and simulation analysis, it was determined that the current mounting position is deemed to be suboptimal. In light of this finding, an optimized solution is proposed, which involves advancing the mounting phase by 0.47 mm. This adjustment effectively resolves the interference issue resulting from the design error. Moreover, the geometry, shape and three-dimensional contour of the key components are measured with high accuracy and precision to identify the key characteristic parameters affecting the outcome of the assembly. With an assembly-deviation-prediction and -analysis model established on the basis of actual measurement data, the results of the assembly-deviation analysis are compared with the outcome of the assembly, showing high consistency. The assembly-deviation-prediction method proposed in this paper on the basis of design tolerance and actual measurement data is applicable to the manufacture of aviation and combustion engines.https://www.mdpi.com/2076-3417/13/22/12193digital assemblytolerancedeviation analysis |
| spellingShingle | Ninglu Zhang Yingna Wu Rui Yang Guangping Xie Digital Simulation and Analysis of Assembly-Deviation Prediction Based on Measurement Data Applied Sciences digital assembly tolerance deviation analysis |
| title | Digital Simulation and Analysis of Assembly-Deviation Prediction Based on Measurement Data |
| title_full | Digital Simulation and Analysis of Assembly-Deviation Prediction Based on Measurement Data |
| title_fullStr | Digital Simulation and Analysis of Assembly-Deviation Prediction Based on Measurement Data |
| title_full_unstemmed | Digital Simulation and Analysis of Assembly-Deviation Prediction Based on Measurement Data |
| title_short | Digital Simulation and Analysis of Assembly-Deviation Prediction Based on Measurement Data |
| title_sort | digital simulation and analysis of assembly deviation prediction based on measurement data |
| topic | digital assembly tolerance deviation analysis |
| url | https://www.mdpi.com/2076-3417/13/22/12193 |
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