
Modern satellites, scientific instruments, and space systems consist of highly sensitive components. Even the tiniest particles or molecular residues can permanently damage optical systems, sensors, or electronic assemblies.
To reliably protect sensitive components during manufacturing, integration, transport, and launch, they are continuously flushed with high-purity gases such as nitrogen—a process known as purging. The goal is to keep particles and moisture out and to maintain a defined protective atmosphere within the protected volume.
However, as modern space systems become increasingly complex, the challenge of reliably verifying the effectiveness of such concepts early in the development phases grows.
Flow within enclosed protective volumes is significantly more complex than is often assumed. Component geometries, piping, and fasteners influence the distribution of the protective gas and can create so-called “dead zones.” These are areas with low flow velocity where particles remain for significantly longer periods of time.
For developers, this raises the following questions, among others:
With complex satellite structures, traditional calculations or spot measurements are often no longer sufficient to reliably assess these relationships.


Using numerical CFD simulations, Merkle CAE analyzes flow behavior within complex protective volumes as early as the development phase. Different purging concepts can be simulated realistically and objectively compared with one another—long before the first prototypes are available.
The simulation reveals how the protective gas distributes within the system, where dead zones occur, and which design adjustments improve the protective effect.
Depending on the development task, the following are possible, for example:
This provides a solid basis for decision-making early in the development phase. Development risks can be reduced, and purging concepts can be specifically optimized even before physical testing is required.
Virtual analysis provides transparency before any costs are incurred. Different concepts can be evaluated objectively without the need for costly prototypes or test facilities.
· Greater Development Reliability Through Virtual Validation
· Optimized flow guidance and shielding gas distribution
· Reduced gas consumption while maintaining the same level of protection
· Fewer prototypes and reduced testing effort
· Shorter development times and reduced risk of costly design changes
Especially in the aerospace industry, where qualification and environmental testing involve considerable effort, simulation helps to shorten development times and minimize risks at an early stage.

As part of a development project, Merkle CAE supported the design of a purging system for sensitive aerospace components. The goal was to achieve the most homogeneous distribution of inert gas possible while minimizing the flow rate.
Using numerical CFD simulations, various gas flow configurations were investigated. Critical dead zones were identified, inlet and outlet positions were specifically optimized, and the flow distribution within the protected volume was significantly improved.
Reliable insights into the flow behavior were available even before a prototype was built. This made it possible to reduce development risks and make well-informed decisions at an early stage.

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Purging systems do not operate in isolation. Flow, temperature, and adjacent components influence one another. That is why Merkle CAE evaluates purging concepts within the framework of holistic multiphysics analyses.
Depending on the development task, CFD, thermal, and structural mechanics simulations, among others, are combined. This results in a realistic understanding of the entire system and a solid foundation for sound development decisions.
Purging involves much more than simply introducing an inert gas. Only by understanding the actual flow processes can one determine whether sensitive aerospace components will be reliably protected over the long term.
Using CFD and multiphysics simulation, Merkle CAE helps companies efficiently design purging concepts, reduce development risks, and significantly accelerate development processes.