How Research and Development Is Shaping the Future of Aerospace Manufacturing
The aerospace sector has always stood at a unique crossroads where human creativity and bold imagination must meet the most uncompromising standards of engineering discipline. From the Wright Brothers’ first powered flight to today’s reusable orbital launch vehicles, every major leap forward has been built on a foundation of sustained, deliberate investment in aerospace manufacturing R&D.
How Aerospace R&D and Innovation Shape the Future of Manufacturing in the Space
Primacy of Research
Aerospace advancement has always depended on hard work in research: often decades-long efforts in aerodynamics, materials science, and propulsion physics. Nothing much has changed in this regard. Modern hypersonic vehicles, for example, still have to wrestle with the same thermal-boundary-layer phenomena that challenged the X-15 program of the 1960s.
What has changed is the computational power available to interrogate those phenomena. High-fidelity multiphysics simulations now make it possible for engineers to explore concepts that were once accessible only through costly wind-tunnel campaigns or through doing flight tests with simply unacceptable risks attached.
The mistake would be in thinking that computational sophistication alone will guarantee progress. The most fruitful research programs couple digital exploration with physical experimentation. When a novel alloy emerges from atomistic modeling, for instance, it’s not enough that it work in theory. It must still survive rigorous mechanical testing under cryogenic and high-temperature conditions representative of service in a liquid-oxygen turbo pump.
The Integration Imperative
Contemporary aerospace platforms are increasingly coming to resemble distributed information systems that happen to fly. A modern fighter aircraft generates terabytes of sensor data every flight hour, while next-generation space launch systems manage thousands of subsystems with microsecond precision. For this all to work, you must have perfect, smooth integration of artificial intelligence, Internet of Things architectures, and high-bandwidth wireless communications, and all of it protected by cybersecurity measures that are actually built into the very fabric of the design.
Artificial intelligence, properly constrained, can now accelerate the design cycle to do in days or weeks what once required months or years. Generative design algorithms can be seeded with physics-based constraints and decades of validated performance data, and they are then capable of proposing thousands of structural configurations in the same amount of time a human team would need to evaluate just a handful.
Human engineers, however, are still need to interrogate these proposals for manufacturability and compliance with airworthiness standards that these artificial systems cannot yet always fully comprehend. The resulting partnership between machine speed and human judgment is the new, mature approach to technological adoption. It extracts value from machines without abdicating responsibility by humans.
Similarly, the Internet of Things works in aerospace manufacturing as a hierarchy of embedded sensors that constantly monitor structural health, propulsion-system performance, and environmental conditions. The embedded sensors produce data streams that have to be transmitted securely through the air, across ground, and even in space.
Fifth-generation wireless protocols and emerging low-Earth-orbit constellations can now provide the necessary bandwidth and latency characteristics for moving all this data at speed, but there are new issues. Integrating all this into aerospace hardware makes extraordinary power consumption demands, for instance, so there’s a real need to make these sensors resistance to cosmic radiation. Only sustained R&D can create the breakthroughs in these technologies that will make them truly flightworthy.
Securing the Sky
As aerospace platforms become more connected, they also become vulnerable, and both state and non-state actors are increasingly viewing networked aircraft, satellites, and unmanned systems as potential targets. The traditional approaches to safety are still important to avoid mechanical failure rates and minimize the human factor, but these also have to be augmented by security engineering that builds zero-trust architectures, post-quantum cryptography, and hardware-rooted attestation mechanisms into the systems from the word go. Here, the big challenge is implementing these measures within the constraints imposed by the size, weight, power, and reliability of aerospace hardware.
Certification authorities have also historically been accustomed to working with probabilistic safety cases. Now they must evaluate deterministic security claims. Secure multiparty computation could be the path forward here, but this would mean that allied forces may need to share sensor data or command authority across platforms that have been manufactured in different nations, each with its own classified subsystems.
Cryptographic techniques that permit computation on encrypted data that will only reveal the agreed-upon result could make this kind of interoperability possible, but maturing these techniques is one of the most intellectually demanding frontiers in contemporary aerospace R&D.
Verification and Validation
A “digital twin” is a continuously updated, physics-based model that mirrors its physical counterpart throughout the lifecycle. Digital twinning has now moved from an academic curiosity to an operational necessity, and these twins are now used throughout aerospace manufacturing in design optimization, quality assurance, fleet management, and sustainment planning. Twinning, when used in conjunction with real-time telemetry, allows you to plan predictive maintenance so well that the results are coming increasingly close to the theoretical minimum of unscheduled removals.
Digital twins are also changing how we think about airworthiness certification. Regulators are increasingly willing to accept that a sufficiently high-fidelity digital twin that’s been validated against a physical test pyramid can reduce the need for actual physical testing in a major design change. As digital twinning improves and regulators become more and more familiar with its reliability, we can look to see shortened development timelines and a faster track to certification.
At SAAB RDS, digital transformation is what we do. Our goal is to help manufacturers in every sector learn how to take advantage of cutting-edge technology. To learn more, contact us at SAAB RDS now.
