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Digital Aircraft Assembly Process Technology Simulation and Visualization System

The main purpose of the digital aircraft assembly process is to ensure the high assembly accuracy of aircraft products, flexibility and reduce the assembly time. Also, reduce the assembly and manufacture error of tooling (Jig/Fixture) design for particular aircraft products. Generally, the aircraft product assembly process is complex, and it performs through the assembly and disassembly process. Regarding the complexity of the aircraft product assembly process, this research illustrates the systematic analysis of the simulation and visualization technology for the aircraft assembly process. This research introduces key technologies and solutions to realize the aircraft's assembly process visualization system. Then assembly simulation environment is implemented based on virtual reality modelling language (VRML), network, assembly process simulation, and visualization of assembly process documents. The digital aircraft assembly process technology has been divided into simulation and visualization systems in this research. The simulation process includes manufacturing factors, assembly objects, assembly sites, process equipment, tools, and devices. The visualization system visually processes the assembly simulation results and then outputs the processed results in the workshop workplace. It includes the related simulation results and adds necessary text technology to make it easier to understand the concept using visualization techniques to process the results. The research has practical value in the modern aircraft industry to propose an aircraft product simulation process based on computer-aided 3D design.

Aircraft Assembly, Assembly Process Simulation, Visualization of Assembly Process Documents, Virtual Reality Modelling Language

Md Helal Miah, Jianhua Zhang, Abdullah-Al Muin. (2022). Digital Aircraft Assembly Process Technology Simulation and Visualization System. American Journal of Aerospace Engineering, 9(2), 33-38.

Copyright © 2022 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1. Horn T J and Harrysson O L 2012 Overview of current additive manufacturing technologies and selected applications Science progress 95 (3): 255-282.
2. Miah M H, Zhang J and Singh Chand D 2021 Knowledge creation and application of optimal tolerance distribution method for aircraft product assembly Aircraft Engineering and Aerospace Technology
3. Mas F, Ríos J, Gómez A and Hernández J C 2016 Knowledge-based application to define aircraft final assembly lines at the industrialisation conceptual design phase International Journal of Computer Integrated Manufacturing 29 (6): 677-691.
4. Song X, Lu Y, Liu Z, Yang C, Wang P and Xue F 2018 August. Research on Application of Digital Assembly Technology based on MBD in Spacecraft Field In IOP Conference Series: Materials Science and Engineering 408 No. 1 012026 IOP Publishing.
5. Chiu W K and Yu K M 2008 Direct digital manufacturing of three-dimensional functionally graded material objects Computer-Aided Design 40 (12): 1080-1093.
6. Jamshidi J, Kayani A, Iravani P, Maropoulos P G and Summers M D 2010 Manufacturing and assembly automation by integrated metrology systems for aircraft wing fabrication Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture 224 (1): 25-36.
7. Herrmann C, Thiede S Kara S and Hesselbach J 2011 Energy oriented simulation of manufacturing systems–Concept and application CIRP annals 60 (1): 45-48.
8. Darema F, 2004 Dynamic data driven applications systems: A new paradigm for application simulations and measurements In International Conference on Computational Science 662-669 Springer Berlin Heidelberg.
9. Mujber T S, Szecsi T and Hashmi M S 2004 Virtual reality applications in manufacturing process simulation Journal of materials processing technology 155: 1834-1838.
10. Leu M C, ElMaraghy H A, Nee A Y, Ong S K, Lanzetta M, Putz M, Zhu W and Bernard A 2013 CAD model based virtual assembly simulation planning and training CIRP Annals 62 (2): 799-822.
11. Da Xu L, Wang C, Bi Z and Yu J 2012 AutoAssem: an automated assembly planning system for complex products IEEE Transactions on Industrial Informatics 8 (3): 669-678.
12. Liu J and Zou C 2008 A multi-aspect simulation system for flexible aircraft wing assembly. In International Conference on Intelligent Robotics and Applications 679-687 Springer Berlin Heidelberg.
13. Green R F, Hagale T J, George T, Hancock G A and Rice S M 2019 Digital human modeling in aerospace In DHM and Posturography 549-558 Academic Press.
14. Chang B, Yang R, Guo C, Ge S and Li L 2019 Performance evaluation and prediction of rudders based on machine learning technology Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233 (15) 5746-5757.
15. DeGiorgi V G and Wimmer S A 2005 Geometric details and modeling accuracy requirements for shipboard impressed current cathodic protection system modeling Engineering analysis with boundary elements 29 (1): 15-28.
16. Doub C A 1994 September Optical systems design for focal plane testing using direct write scene generation In Current Developments in Optical Design and Optical Engineering IV 2263: 66-74 International Society for Optics and Photonics.
17. Yuan X and Yang S X 2004 Interactive assembly planning with automatic path generation In 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No. 04CH37566) 4 3965-3970 IEEE.
18. Sölter J 2009 Modeling and simulation of ring deformation due to clamping. Materialwissenschaft und Werkstofftechnik: Entwicklung, Fertigung, Prüfung Eigenschaften und Anwendungen technischer Werkstoffe 40 (5-6): 380-384.
19. Rajan V N, Sivasubramanian K and Fernandez J E 1999 Accessibility and ergonomic analysis of assembly product and jig designs. International Journal of Industrial Ergonomics 23 (5-6): 473-487.
20. Nahon M A and Reid L D 1990 Simulator motion-drive algorithms-A designer's perspective Journal of Guidance, Control, and Dynamics 13 (2): 356-362.
21. Jamei M, Marciniak S, Edwards D, Wragg K, Feng K, Barnett A and Rostami-Hodjegan A 2013 The simcyp population-based simulator: architecture, implementation, and quality assurance In silico pharmacology 1 (1): 1-14.
22. Xu X W and Liu T 2003 A web-enabled PDM system in a collaborative design environment Robotics and Computer-integrated manufacturing 19 (4): 315-328.
23. Akpan I J and Shanker M 2019 A comparative evaluation of the effectiveness of virtual reality, 3D visualization and 2D visual interactive simulation: an exploratory meta-analysis Simulation 95 (2): 145-170.
24. Yi Y, Yan Y, Liu X, Ni Z, Feng J and Liu J 2021 Digital twin-based smart assembly process design and application framework for complex products and its case study Journal of Manufacturing Systems 58: 94-107.
25. Ling, Z. K., Zhou, X. and Mclean, C., 1998 Process operators and their roles in integrated assembly process planning In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 80340 V004T04A026 American Society of Mechanical Engineers.
26. Liu C, Zhang Y and Sun L 2008 Web based 3D assembly sequence planning prototype integrated with CAD model In 2008 12th International Conference on Computer Supported Cooperative Work in Design 823-828 IEEE.