Hybrid Aircraft Testing

How Is Airbus Planning to Halve Testing Time Without Cutting the Evidence?

Hybrid aircraft testing is moving from research programmes into mainstream development. Airbus wants to halve testing lead times on its A320 successor. It plans to do this by combining physical and virtual assessment far more closely. Thierry Raffy, Airbus’s vice president of test and analytics engineering, set out the target at the Aerospace Test and Development Show in Toulouse. The goal does not mean less evidence. It means getting the same evidence faster.

Why Airbus Wants Faster Testing

Airbus is working towards a launch around 2030. It expects the new aircraft to replace the A320neo family from the second half of the 2030s. Two priorities dominate the programme. The first is a 20 to 30% improvement in fuel efficiency. The second is a production rate of around 100 aircraft a month. The A320neo family has still not reached its own target of 75 a month.

Therefore, development time and cost matter as much as aircraft performance. Spending less time on trials in the final development phase cuts non-recurring cost. It also shortens time to market.

What Hybrid Testing Means

Traditionally, engineers build hardware, test it, find problems and redesign. Hybrid testing changes that balance. Simulation and digital models predict how a structure or system will behave. Physical tests then confirm those predictions on selected articles. As confidence in the models grows, Airbus aims to need fewer physical tests to cover the same ground.

Airbus is using research programmes to practise the method. One is the eXtra Performance Wing, a demonstrator for new wing technologies. Airbus test experts see it as a suitable use case for hybrid testing. The company is using digital modelling and wind tunnel testing to finalise its wing extension designs before flying them in a representative environment.

Flight Test Changes Role

The approach also changes the job of the flight-test campaign. Today, prototypes can reveal major maturity problems once they start flying. Airbus wants flight tests increasingly to confirm results already found through simulation, digital models and ground testing. In other words, flight test becomes confirmation rather than discovery. Airbus is clear that this does not reduce the evidence certification requires.

Therefore, the models themselves need proof. A simulation earns trust only when it matches the real world.

Why Physical Test Quality Matters More

Here is the catch. A virtual test is only as good as the model behind it. Models earn trust by matching physical data. That data must be accurate, repeatable and well instrumented. For example, a structural model of a wing box needs measured strains and deflections to validate its stiffness. A fluid model needs measured pressures and flows.

Poor test data produces poorly validated models. As a result, hybrid testing does not reduce the need for good test engineering. It raises the standard. This is the principle we described in our article on FEA analysis services. Analysis informs the test programme, and test data validates the model.


What This Means for the Supply Chain

If Airbus succeeds, the effects will reach its suppliers. Businesses that bring validated models alongside hardware will be better placed. Meanwhile, Airbus is also converting its Broughton site in the UK into an A321 wing line. The change adds 480 jobs and six production jigs, to serve a backlog of 7,500 A320 family aircraft.

For engineering businesses, the message is clear. Design, analysis and test capability must fit together. Test rigs need to apply realistic loads, capture clean data and tie directly to the models they support.

At CNR, FEA, CFD and bespoke test rig design work as one process. Analysis predicts behaviour, rigs measure it, and engineers compare the two. If your programme needs models you can trust, that experience is where the conversation starts.

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Virtual testing is only as good as the physical data behind it. Talk to CNR about analysis and test rigs that work together.

Note: This article is for general information only Image Credits: AI

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