The work demonstrates the benefits of using digital methods for the development and optimization of large assembly manufacturing networks. Although an aircraft assembly has been used for this work, the methods and advantages of digital manufacturing techniques, which are demonstrated here, are equally applicable to any large assembly process, such as those used in the automotive, railway, and shipbuilding industries. The introduction of manufacturability into the design arena using advanced computer aided methods means that manufacturing engineers can operate more directly in assembly planning and concurrent engineering design. Network analyses carried out on the final assembly operations for a regional jet fuselage section using a methodical, step by step approach, shows that the process efficiency for workers carrying out fitting operations can be more than doubled when compared to existing shop floor performance figures. The more efficient use of operator time results in a simulated 19% improvement in financial efficiency, as the actual working hours required for assembly are reduced to below budgeted levels. The simulation predicts that these results can be achieved with one final assembly station. With two stations currently in use for the fuselage section, this means that a significant financial saving is possible in tooling expenditure.
Due to its inherent advantages, linear friction welding is a solid-state joining process of increasing importance to the aerospace, automotive, medical and power generation equipment industries. Tangential oscillations and forge stroke during the burn-off phase of the joining process introduce essential dynamic forces, which can also be detrimental to the welding process. Since burn-off is a critical phase in the manufacturing stage, process monitoring is fundamental for quality and stability control purposes. This study aims to improve workholding stability through the analysis of fixture cassette deformations. Methods and procedures for process monitoring are developed and implemented in a fail-or-pass assessment system for fixture cassette deformations during the burn-off phase. Additionally, the denoised signals are compared to results from previous production runs. The observed deformations as a consequence of the forces acting on the fixture cassette are measured directly during the welding process. Data on the linear friction-welding machine are acquired and de-noised using empirical mode decomposition, before the burn-off phase is extracted. This approach enables a direct, objective comparison of the signal features with trends from previous successful welds. The capacity of the whole process monitoring system is validated and demonstrated through the analysis of a large number of signals obtained from welding experiments.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.