in enterprise-level simulation systems, ANSYS has always been one of the core engineering tools. It undertakes key tasks such as structural, fluid, electromagnetic, and thermal analysis, and these tasks are often highly dependent on computing resources and license resources. As the scale of enterprises expands and the number of concurrent simulations increases, licenses become a “key production material” that cannot be ignored in engineering research and development.

In this context, establishing a platform that can present authorization status in real time, identify system pressure, and improve team collaboration efficiency has become a common desire of many simulation teams. Nodexel is positioned to solve this problem – it does not change the existing authorization method of the enterprise, but builds a transparent monitoring and management system on top of it.

1. What is the actual operating status of the ANSYS authorized environment?

On most engineering teams, ANSYS license usage status has the following characteristics:

1. Module usage is unevenly distributed Fluent and Mechanical are often under long-term high load, while HFSS and LS-DYNA are more scattered.
2. The time for submitting tasks shows an obvious “human behavior cycle” Intensive submissions began after 9 a.m., fell back at noon, and rose again at 3 p.m.
3. There are “invisible occupiers” Some permissions are occupied, but the corresponding users are not computing or operating, but the software has not exited.
4. Cross-department competition makes management more difficult The CFD, Structural, and Electromagnetic departments all share the same authorization pool and are opaque to each other.

Due to the lack of a unified data perspective, managers and engineers can often only judge whether resources are “enough” from partial experiences, but cannot form a holistic understanding.

2. Nodexel, making the running status “observable” for the first time

Nodexel has established a clearer data structure on the ANSYS authorization server, which can present the usage status of each Feature in real time, including:

• Who is currently using it?
• Duration and start time of use
• Occupancy of each module (Fluent, Mechanical, HFSS)
• Remaining quantity and fluctuation trend of authorization pool
• Usage density during peak hours

The entire process does not require changing the original authorization model of the enterprise, and administrators no longer need to rely on command line queries.

This “real-time, graphical, module-by-module” monitoring method enables teams to see for the first time:

• Which periods have the greatest license pressure?
• Which modules are resource bottlenecks
• Which departments use the most
• What behaviors cause hidden occupation?

In engineering management, this is a very critical basic ability.

3. Typical usage in real engineering scenarios

1. Fluent resource pressure during peak periods

Fluent has the highest concurrent usage in most enterprises.

Nodexel displays Fluent’s real-time occupancy curve, allowing managers to clearly identify:

• Will the peak period continue to peak?
• Does the resource shortage come from a certain department?
• Is there any long-term idle occupation?

Through this perspective, the team can more reasonably plan the calculation queue and project submission rhythm.

2. Mechanical’s cyclic usage pattern

Structural analysis teams tend to be more “cyclical”.

Nodexel’s data helps teams understand:

• Are Mondays, Wednesdays, and Fridays significantly busier?
• Is there a pattern of centralized pre/post-submission processing by multiple departments?
• Is the HPC core synchronized and fully loaded?

This kind of data analysis is critical for enterprises to plan resources, budgets, and server expansion.

3. Coordination issues for multi-team shared authorization pools

In some large teams, multiple professional groups use the same ANSYS license pool, which can easily occur:

• “Invisible each other” competition for resource occupancy
• The project team cannot tell whether the submission should be postponed
• Engineers across departments complain to each other about insufficient clearances

The centralized view provided by Nodexel allows everyone to have a common basis for data. This makes coordination no longer rely on “communication and fighting” but is based on objective data.

4. Lightweight strategy for idle licenses

During peak periods set by the enterprise, Nodexel can also Lightly recycle idle space that has been idle for a long time without operation or calculation. to avoid invalid locking of resources. However, the recycling strategy is very gentle and does not affect running solution tasks, nor does it force the end of user calculations.

5. Long-term value: from “is it enough” to “how to use it better”

In the past, companies often relied on engineers’ subjective feelings to judge whether ANSYS was “useful enough”, such as:

• “I often can’t get Fluent”
• “There’s always a queue for mechanical analysis”
• “HPC sometimes falls short”

But what Nodexel provides is:

• Actual peak usage data
• Module level time distribution
• real occupancy behavior
• Usage differences between project groups
• The intensity of competition for resources among departments

This allows businesses to make decisions based on data for the first time, rather than relying on individual experiences.

For example:

• Is expansion really needed?
• Which module should be added for expansion?
• Which departments are experiencing a surge in usage?
• Which projects are resource consuming centers?
• What habits lead to unnecessary use of resources?

Nodexel’s monitoring capabilities transform ANSYS from an “unmanageable software resource” into a “sustainably assessed engineering asset.”

Conclusion

In real engineering systems, licenses are essentially an expensive and scarce production resource. Nodexel makes the ANSYS authorization environment transparent, collaborative, and analyzable for the first time through real-time monitoring, behavioral insights, and lightweight resource recycling strategies.

This ability not only allows managers to see resource bottlenecks clearly, but also makes the working environment of engineers smoother, reducing waiting, queuing and unnecessary communication costs.