The Role of Digital Twins in the Aerospace Industry


Digital twins in aerospace are one of the new ways that organizations are using big data to improve processes and drive innovation in the research and development of exciting technologies.

Understanding Digital Twins: Virtual Models for Enhanced Business Performance

A digital twin is a virtual replica of a physical piece of equipment that gathers performance data through multiple sensors. These sensors track various metrics such as energy output, temperature, efficiency, and more.

This data is then applied to the virtual model, allowing businesses to create simulations and analyze performance over time. By studying the impact of small changes, companies can optimize performance and efficiency.

The ultimate goal of a digital twin is to offer valuable insights into current practices and provide a platform where businesses can experiment with new ideas without compromising productivity.

Digital Twins Vs. Simulations

Though they sound similar and have key things in common like using digital models and replicating a system, a digital twin takes simulating to another level from reproducing an environment virtually. This provides more realistic outcomes using real-time and historical data.

One of the major differences between the two is the detail and scale of the tests they run. A digital twin can dive deeper and run a huge number of digital simulations while a common simulation can only test one process. A digital twin is constantly accessing past and present data and using trends to make predictions on the future which means businesses get a more accurate simulation.

Unlock success by stress-testing your product before it hits the market!


Benefits of Digital Twin Technology for Aerospace Businesses

Digital twin technology combined with sensor data collection enables aerospace businesses to improve their equipment development process, leading to increased productivity. Other benefits include:

  • Enhanced Efficiency: Digital twins provide an excellent platform for testing overall efficiency improvements for either one machine or an entire fleet.
  • Predictive Maintenance and Lifespan: By leveraging collected data, businesses can better predict when parts or machines are reaching the end of their lifespan, allowing for proactive maintenance and the
  • timely ordering of parts and replacements.

Expanding Opportunities in the Aerospace Industry with Digital Twins

For businesses in the aerospace industry, digital twins have opened up a world of possibilities. By using data to improve the next iteration of machines, companies can extend the life of parts and improve their performance. Boeing saw a 40% improvement in the first-time quality of parts by using digital twins in development.

When it comes to research and development, digital twins enable companies to refine the engineering of new parts and simulate their performance in countless different conditions. This information can be used to improve parts, predict maintenance needs, and extend the lifespan of machinery and vehicles.

In addition, digital twins can be especially useful for machines that are heading to locations where tracking them may be difficult, such as space. With a digital twin, companies can monitor these machines with 147% more accuracy.

Overall, the implementation of digital twins in the aerospace industry is unlocking datasets that were previously impossible to obtain. This removes many of the challenges associated with tracking performance while a part or machine is in action and brings forth many new possibilities.

In Conclusion

With a digital twin, aerospace businesses can unlock more potential out of future and current parts by obtaining the necessary data to understand what’s working, what’s not, and what can be done better in the future.


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