Precision assembly error analysis of parts based on multi-constraint surface matching
Existing assembly analysis methods often fail to accurately capture the complexities involved in the precision assembly of real-world parts. This paper introduces an advanced precision assembly error analysis method based on multi-constraint surface matching, aimed at overcoming these limitations. T...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Mechanical Engineering |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmech.2024.1519646/full |
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| _version_ | 1832593452437602304 |
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| author | Wenbin Tang Tong Yan Jinshan Sun Yadong Li |
| author_facet | Wenbin Tang Tong Yan Jinshan Sun Yadong Li |
| author_sort | Wenbin Tang |
| collection | DOAJ |
| description | Existing assembly analysis methods often fail to accurately capture the complexities involved in the precision assembly of real-world parts. This paper introduces an advanced precision assembly error analysis method based on multi-constraint surface matching, aimed at overcoming these limitations. The proposed approach incorporates interference-free constraints and force stability constraints to develop an assembly positioning model that better reflects the realistic assembly process. To solve the model, Spatial Pyramid Matching with chaotic mapping is employed for population initialization, thereby enhancing population diversity. A nonlinear control mechanism is further introduced to dynamically adjust inertia weight, and a simulated annealing mechanism is integrated into the particle swarm optimization algorithm to enhance the efficiency of the surface matching process. The method ultimately achieves high-precision multi-constraint surface matching and completes a comprehensive assembly error analysis. The effectiveness and enhanced performance of the proposed methodology are validated through the precision assembly of a vibratory bowl feeder, demonstrating its potential to significantly improve assembly accuracy in precision manufacturing contexts. |
| format | Article |
| id | doaj-art-17fe6135b825469a90661c2265de4f17 |
| institution | Kabale University |
| issn | 2297-3079 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Mechanical Engineering |
| spelling | doaj-art-17fe6135b825469a90661c2265de4f172025-01-20T14:43:48ZengFrontiers Media S.A.Frontiers in Mechanical Engineering2297-30792025-01-011010.3389/fmech.2024.15196461519646Precision assembly error analysis of parts based on multi-constraint surface matchingWenbin TangTong YanJinshan SunYadong LiExisting assembly analysis methods often fail to accurately capture the complexities involved in the precision assembly of real-world parts. This paper introduces an advanced precision assembly error analysis method based on multi-constraint surface matching, aimed at overcoming these limitations. The proposed approach incorporates interference-free constraints and force stability constraints to develop an assembly positioning model that better reflects the realistic assembly process. To solve the model, Spatial Pyramid Matching with chaotic mapping is employed for population initialization, thereby enhancing population diversity. A nonlinear control mechanism is further introduced to dynamically adjust inertia weight, and a simulated annealing mechanism is integrated into the particle swarm optimization algorithm to enhance the efficiency of the surface matching process. The method ultimately achieves high-precision multi-constraint surface matching and completes a comprehensive assembly error analysis. The effectiveness and enhanced performance of the proposed methodology are validated through the precision assembly of a vibratory bowl feeder, demonstrating its potential to significantly improve assembly accuracy in precision manufacturing contexts.https://www.frontiersin.org/articles/10.3389/fmech.2024.1519646/fullsurface matchingerror analysisassembly positioningprecision assemblySPM chaotic mappingparticle swarm optimization |
| spellingShingle | Wenbin Tang Tong Yan Jinshan Sun Yadong Li Precision assembly error analysis of parts based on multi-constraint surface matching Frontiers in Mechanical Engineering surface matching error analysis assembly positioning precision assembly SPM chaotic mapping particle swarm optimization |
| title | Precision assembly error analysis of parts based on multi-constraint surface matching |
| title_full | Precision assembly error analysis of parts based on multi-constraint surface matching |
| title_fullStr | Precision assembly error analysis of parts based on multi-constraint surface matching |
| title_full_unstemmed | Precision assembly error analysis of parts based on multi-constraint surface matching |
| title_short | Precision assembly error analysis of parts based on multi-constraint surface matching |
| title_sort | precision assembly error analysis of parts based on multi constraint surface matching |
| topic | surface matching error analysis assembly positioning precision assembly SPM chaotic mapping particle swarm optimization |
| url | https://www.frontiersin.org/articles/10.3389/fmech.2024.1519646/full |
| work_keys_str_mv | AT wenbintang precisionassemblyerroranalysisofpartsbasedonmulticonstraintsurfacematching AT tongyan precisionassemblyerroranalysisofpartsbasedonmulticonstraintsurfacematching AT jinshansun precisionassemblyerroranalysisofpartsbasedonmulticonstraintsurfacematching AT yadongli precisionassemblyerroranalysisofpartsbasedonmulticonstraintsurfacematching |