Advanced Manufacturing and Assembly Technologies for Aerospace Production Systems
This Reprint, "Advanced Manufacturing and Assembly Technology for Aerospace Production Systems", is hosted by Machines’ "Advanced Manufacturing" section (ISSN 2075-1702), and co-edited by Dr. Feiyan GUO (USTB) and Dr. Zhengping CHANG (NWPU). It focuses on breakthroughs and trends in aerospace manufa...
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| Natura: | Online |
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| Lingua: | inglese |
| Pubblicazione: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Accesso online: | ONIX_20260416T142754_9783725861491_18 |
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| _version_ | 1869517956306698240 |
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| collection | Directory of Open Access Books |
| description | This Reprint, "Advanced Manufacturing and Assembly Technology for Aerospace Production Systems", is hosted by Machines’ "Advanced Manufacturing" section (ISSN 2075-1702), and co-edited by Dr. Feiyan GUO (USTB) and Dr. Zhengping CHANG (NWPU). It focuses on breakthroughs and trends in aerospace manufacturing, serving as a global platform for academic exchange and advancement. The field of aerospace manufacturing, integrating multiple disciplines, determines product performance, R&D, and reliability, leading the equipment manufacturing industry. This Special Issue collects high-value original research, covering composite manufacturing, digital intelligent manufacturing, assembly accuracy control, etc. It collects a total of nine papers, including an integrated framework solving aircraft rivet interference fit (max relative deviation 9.75%); a compensation algorithm reducing 15m CFRP component curing deformation to ≤0.99mm; and a rigid-flexible coupling analysis addressing weak-rigid component assembly errors. Other achievements include 6D chain modeling (aero-engine casing error <8.3%), VR human–robot disassembly training, ORB-SLAM3-based vision processing (42.4 FPS), and modular tooling (design time from days to 10 mins). This Special Issue provides the latest progress and technology development, and promotes international cooperation for aerospace researchers and engineers. |
| format | Online |
| id | doab-20.500.12854ir-175213 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1752132026-04-16T19:37:13Z Advanced Manufacturing and Assembly Technologies for Aerospace Production Systems Guo, Feiyan Chang, Zhengping 304 stainless steel Tool wear Model coefficient identification Milling-force prediction Surface morphology Fitness landscape Extreme point analysis Pattern search algorithm Aircraft assembly Reconfigurable tooling Modular design Layout planning Occlusion handling Mixed reality ORB-SLAM3 Assisted assembly Mechanical engineering Manufacturing technology Virtual reality (VR) Human–robot collaboration (HRC) E-waste recycling Disassembly and assembly training Virtual simulation Human–robot interaction Synthetic data generation Robot motion prediction ROS integration Long short-term memory (LSTM) Monte Carlo dropout Trajectory optimization Machine learning in robotics Assembly Spatial dimension chain Spatial distribution of form errors Multiconstraint Assembly accuracy analysis Rigid–flexible coupling Assembly deviation transmission Weak rigid components (WRCs) CFRP Curing deformation Deformation prediction Profile compensation Slug rivet Interference fit Deep learning Genetic algorithm Riveting parameters optimization thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This Reprint, "Advanced Manufacturing and Assembly Technology for Aerospace Production Systems", is hosted by Machines’ "Advanced Manufacturing" section (ISSN 2075-1702), and co-edited by Dr. Feiyan GUO (USTB) and Dr. Zhengping CHANG (NWPU). It focuses on breakthroughs and trends in aerospace manufacturing, serving as a global platform for academic exchange and advancement. The field of aerospace manufacturing, integrating multiple disciplines, determines product performance, R&D, and reliability, leading the equipment manufacturing industry. This Special Issue collects high-value original research, covering composite manufacturing, digital intelligent manufacturing, assembly accuracy control, etc. It collects a total of nine papers, including an integrated framework solving aircraft rivet interference fit (max relative deviation 9.75%); a compensation algorithm reducing 15m CFRP component curing deformation to ≤0.99mm; and a rigid-flexible coupling analysis addressing weak-rigid component assembly errors. Other achievements include 6D chain modeling (aero-engine casing error <8.3%), VR human–robot disassembly training, ORB-SLAM3-based vision processing (42.4 FPS), and modular tooling (design time from days to 10 mins). This Special Issue provides the latest progress and technology development, and promotes international cooperation for aerospace researchers and engineers. 2026-04-16T19:37:05Z 2026-04-16T19:37:05Z 2026 book ONIX_20260416T142754_9783725861491_18 9783725861491 9783725861507 https://directory.doabooks.org/handle/20.500.12854/175213 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/12125 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-6150-7 10.3390/books978-3-7258-6150-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725861491 9783725861507 218 CH open access |
| spellingShingle | 304 stainless steel Tool wear Model coefficient identification Milling-force prediction Surface morphology Fitness landscape Extreme point analysis Pattern search algorithm Aircraft assembly Reconfigurable tooling Modular design Layout planning Occlusion handling Mixed reality ORB-SLAM3 Assisted assembly Mechanical engineering Manufacturing technology Virtual reality (VR) Human–robot collaboration (HRC) E-waste recycling Disassembly and assembly training Virtual simulation Human–robot interaction Synthetic data generation Robot motion prediction ROS integration Long short-term memory (LSTM) Monte Carlo dropout Trajectory optimization Machine learning in robotics Assembly Spatial dimension chain Spatial distribution of form errors Multiconstraint Assembly accuracy analysis Rigid–flexible coupling Assembly deviation transmission Weak rigid components (WRCs) CFRP Curing deformation Deformation prediction Profile compensation Slug rivet Interference fit Deep learning Genetic algorithm Riveting parameters optimization thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Advanced Manufacturing and Assembly Technologies for Aerospace Production Systems |
| title | Advanced Manufacturing and Assembly Technologies for Aerospace Production Systems |
| title_full | Advanced Manufacturing and Assembly Technologies for Aerospace Production Systems |
| title_fullStr | Advanced Manufacturing and Assembly Technologies for Aerospace Production Systems |
| title_full_unstemmed | Advanced Manufacturing and Assembly Technologies for Aerospace Production Systems |
| title_short | Advanced Manufacturing and Assembly Technologies for Aerospace Production Systems |
| title_sort | advanced manufacturing and assembly technologies for aerospace production systems |
| topic | 304 stainless steel Tool wear Model coefficient identification Milling-force prediction Surface morphology Fitness landscape Extreme point analysis Pattern search algorithm Aircraft assembly Reconfigurable tooling Modular design Layout planning Occlusion handling Mixed reality ORB-SLAM3 Assisted assembly Mechanical engineering Manufacturing technology Virtual reality (VR) Human–robot collaboration (HRC) E-waste recycling Disassembly and assembly training Virtual simulation Human–robot interaction Synthetic data generation Robot motion prediction ROS integration Long short-term memory (LSTM) Monte Carlo dropout Trajectory optimization Machine learning in robotics Assembly Spatial dimension chain Spatial distribution of form errors Multiconstraint Assembly accuracy analysis Rigid–flexible coupling Assembly deviation transmission Weak rigid components (WRCs) CFRP Curing deformation Deformation prediction Profile compensation Slug rivet Interference fit Deep learning Genetic algorithm Riveting parameters optimization thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | 304 stainless steel Tool wear Model coefficient identification Milling-force prediction Surface morphology Fitness landscape Extreme point analysis Pattern search algorithm Aircraft assembly Reconfigurable tooling Modular design Layout planning Occlusion handling Mixed reality ORB-SLAM3 Assisted assembly Mechanical engineering Manufacturing technology Virtual reality (VR) Human–robot collaboration (HRC) E-waste recycling Disassembly and assembly training Virtual simulation Human–robot interaction Synthetic data generation Robot motion prediction ROS integration Long short-term memory (LSTM) Monte Carlo dropout Trajectory optimization Machine learning in robotics Assembly Spatial dimension chain Spatial distribution of form errors Multiconstraint Assembly accuracy analysis Rigid–flexible coupling Assembly deviation transmission Weak rigid components (WRCs) CFRP Curing deformation Deformation prediction Profile compensation Slug rivet Interference fit Deep learning Genetic algorithm Riveting parameters optimization thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20260416T142754_9783725861491_18 |