Completed Materials & Manufacturing Clean Energy

NGCW : Multi Discipline Optimised Wing (MDOW)

In plain English

AI plain-English summary

Aircraft wings are about to be designed, tested, and built entirely inside a computer before a single piece of metal is cut. This matters because today’s wing design is slow and fragmented. Different teams work on aerodynamics, structures, and manufacturing separately, then try to fit the pieces together late in the process. That wastes time, adds weight, and limits how efficiently a wing can be shaped. The MDOW project creates a single “synthetic environment” where all those disciplines can iterate together rapidly, allowing engineers to optimise the wing as a whole system rather than as a collection of compromises. If the research succeeds, the impact will be invisible to passengers but measurable in fuel burn and carbon emissions. Lighter, more aerodynamic wings mean aircraft use less fuel per flight. The synthetic environment also speeds up the design cycle, so new, cleaner wing technologies can reach production years sooner than they do now. For the public, this quietly reduces the aviation industry’s contribution to climate change without requiring any change in how people travel.

View original technical description
To ensure that mature technologies are available to enable the design, development, validation, manufacture, equipping and testing of lightweight aerodynamically efficient and economic to produce wings which are optimised with the overall aircraft ensuring minimum environmental impact. MDOW provides mature technologies to build a synthetic environment that will allow fast iteration of the complete wing design process.

View the original record at the funder ↗

Related Research

Grants with similar aims, by meaning.

Development of Advanced Wing Solutions (DAWS)
Ultra Performance Wing_ Project UP WING
Ultra Performance Wing
Development of Advanced Wing Solutions 2 (DAWS 2)
Wing Design, Manufacture and Assembly (WDMA)

Original classification

Large Project

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.