The Siemens Community Catalyst program was co-created with our community to acknowledge technology leaders who consistently contribute to the Siemens Community. Nominations are accepted on a rolling basis.
I want to simulate a hole array filter but I'm having trouble with memory usage. At first I would get an error saying insufficient memory available so I made the mesh much more coarse but it still took over 24 hours to run the solver. Any suggestions?
Unable to find an attachment - read this blog
Could you attach the *.out file here?
It seems that something is slowing down the simulation at the 6th frequency. We're currently investigating.
Could you attach the *.out file here? It seems that something is slowing down the simulation at the 6th frequency. We're currently investigating.
Thank you so much for taking the time to do this.
Hi Pavlam
There seems to be a slow down problem with this specific model.
On my machine it runs 46x faster with FEKO version 2017.2. (Note I only tested frequency=900 GHz)
Hi Pavlam,
The reason for the runtime issue is still under investigation. It could be worked around by setting up the unit cell differently:
Note that your mesh setting of lambda/5 does reduce the memory requirement, but will most likely not lead to trustworthy results. The unit cell has a size of 1.6 x lambda and thus will demand some memory with a mesh size of lambda/10 (>20 GByte). I see from your *.out file that you have 64 GByte installed, so that should not be a problem.
BUT: Due to the size of the unit cell there are grating lobes for each frequency (Grating Lobes). They prevent an accurate calculation of the transmission / reflection coefficients. A simple workaround here is shown here:
Note, P_incident is calculated by 2nd model, with no geometry present, just calculating the power going through NF front.
I will add the files here once the simulation has finished.
Regarding grating lobes, maybe also read
The files are now attached. Looking at the results I have to admit that they could look better (Rx+Tx =! 1 here and there). Most likely this can be improved by a larger distance between unit cell and near field requests. I chose 1 lambda at highest frequency, but looking at JIF's link, 10 lambda at lowest frequency probably would have been much wiser.
<?xml version="1.0" encoding="UTF-8"?>
Hi Pavlam There seems to be a slow down problem with this specific model. On my machine it runs 46x faster with FEKO version 2017.2. (Note I only tested frequency=900 GHz)
Yes, 2017 definitely ran it faster. Thank you for the recommendation it helped a lot
Hi Pavlam, The reason for the runtime issue is still under investigation. It could be worked around by setting up the unit cell differently: <?xml version="1.0" encoding="UTF-8"?>
This geometry was much simpler and easier to run. I would have never thought of this. Thank you for taking the time to do all this, I really appreciate it.
One imoprtant addition: The calculation the Rx / Tx coefficients from the power flow through near field is only well-defined if the size of the near field requests is N * size of unitcell (N is an arbitrary interger value). In your case the size could be dy*dz or dy*2dz,...
Join us for a community conversation on how High-Performance Computing (HPC) and Simcenter PSIM work together to meet the increasing demands of modern power electronics simulation. During this one-hour technical session, you'll discover how leveraging HPC can speed up simulations, improve scalability, and empower engineers…
Join us for a community conversation on accelerating your motor simulation workflow with Simcenter Simlab. In this beginner-friendly session, we'll introduce the platform's automated model-building capabilities and show how easy it is to set up your first electric motor analysis. You'll see the basic steps of geometry…
Join us for a Community Conversation where we'll discuss practical approaches to analyzing complex electromagnetic models using hybrid solver techniques. This session will provide a general overview of how different computational methods can be combined within a single simulation to address models containing varied…
